Company Description

About AbbVie

AbbVie’s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

The Senior Research Statistician will provide statistical support to the research and development organization by partnering with study teams to monitor ongoing clinical trials and generate timely, data-driven insights. This role will focus on reviewing accumulating clinical trial data, evaluating predefined program criteria, conducting exploratory analyses, and supporting informed decision-making throughout study execution.

Responsibilities:

• The statistician will work closely with study statisticians, programmers, and cross-functional stakeholders to assess study progress, identify emerging trends and risks, and provide analytical support that enhances trial oversight while maintaining scientific rigor.
• The statistician will also be expected to participate in standardized analysis modules development and agentic AI related development work
• Contribute to design, analysis and reporting of clinical trials or other scientific research studies. Assist with development of protocols and/or statistical analysis plans with details for programming implementation. Work under supervision to implement sound statistical methodology in scientific investigations.
• Assist in identifying scientifically appropriate data collection instruments. Identify and report data issues or violations of study assumptions. Provide programming specifications for derived variables and analysis datasets. Collaborate with Data Science in preparing for database lock.
• With supervision perform statistical analyses as per the analysis plan. Collaborate with Statistical Programming to ensure the delivery of high-quality outputs according to agreed-upon timelines. Evaluate appropriateness of available software for planned analyses and assess needs for potential development of novel statistical methodology.
• With supervision, develop strategy for data presentation and inference. Ensure appropriate interpretation of statistical deliverables in collaboration with other functions. Collaborate in publication of scientific research. Ensure accuracy and internal consistency of reports and publications, including tables, listings, and figures. Ensure the accuracy of the statistical component of scientific reports and/or publications with high quality.
• Work collaboratively with cross-functional teams. Clearly explain statistical concepts to non-statisticians. Provide responses to questions and pursue analyses suggested by data under supervision. Support communications between assigned product team(s) and functional management. Build/drive cross-functional relationships and collaboration.

Qualifications

Minimum Requirements:

• PhD in Statistics, Biostatistics, Data Science, Mathematics, Epidemiology, or a related quantitative field.

• Strong understanding of statistical methodologies and clinical trial data analysis.

• Experience with statistical programming in R

Preferred Qualifications:

• SAS Experience is a plus

Other Required Skills:

• Experience analyzing complex datasets and translating findings into actionable insights.

• Ability to conduct exploratory analyses, interim analyses, and data monitoring activities.

• Strong problem-solving and quantitative reasoning skills.

• Excellent written and verbal communication skills.

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at  the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors  including  geographic location, and we may ultimately  pay more or less than the posted range. This range may be  modified in the future. ​

• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​

• This job is eligible to  participate in our short-term incentive programs.  ​

Note: No amount of pay is  considered to be wages or compensation until such amount is earned,  vested,  and determinable. The amount and availability of  any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a   particular employee  remains in the Company’s sole and absolute discretion unless and until paid and may be  modified at the Company’s sole and absolute discretion,  consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

Company Description

About AbbVie

AbbVie’s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

The Senior Research Statistician, Statistics is responsible for providing statistical support to the research and

development organization. Specific areas of work will include clinical trials. The Senior Research Statistician works in partnership with experts in multiple disciplines to advance medicines to our patients.

Major Job Responsibilities

• Contribute to design, analysis and reporting of clinical trials or other scientific research studies. Assist with

development of protocols and/or statistical analysis plans with details for programming

implementation. Work under supervision to implement sound statistical methodology in scientific investigations.

• Assist in identifying scientifically appropriate data collection instruments. Identify and report data issues or

violations of study assumptions. Provide programming specifications for derived variables and analysis datasets. Collaborate with Data Science in preparing for database lock.

• With supervision perform statistical analyses as per the analysis plan. Collaborate with Statistical Programming to ensure the delivery of high-quality outputs according to agreed-upon timelines. Evaluate appropriateness of available software for planned analyses and assess needs for potential development of novel statistical methodology.

• With supervision, develop strategy for data presentation and inference. Ensure appropriate interpretation of

statistical deliverables in collaboration with other functions. Collaborate in publication of scientific research.

Ensure accuracy and internal consistency of reports and publications, including tables, listings, and figures.

Ensure the accuracy of the statistical component of scientific reports and/or publications with high quality.

• Work collaboratively with cross-functional teams. Clearly explain statistical concepts to non-statisticians. Provide responses to questions and pursue analyses suggested by data under supervision. Support communications between assigned product team(s) and functional management. Build/drive cross-functional relationships and collaboration.

Qualifications

Minimum Qualifications:

• MS or PhD in Statistics, Biostatistics, or a highly related field.

• 4+ years of experience performing statistical computations and simulations

Preferred Qualifications:

• Experience in oncology

• Experience in pharma clinical trials

Other Required Skills:

• High degree of technical competence and effective communication skills, both oral and written

• Able to build strong relationship with peers and cross-functional partners to achieve higher performance.

Highly motivated to drive innovation by raising the bar and challenging the status quo

• Able to identify data or analytical issues, and assist with providing solutions by either applying own skills and

knowledge or seeking help from others

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this roleat  the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on manyfactors  including  geographic location, and we may ultimately  pay more or less than the posted range. This range may be  modified in the future. ​

• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​

• This job is eligible to  participate in our short-term incentive programs. ​

Note: No amount of pay is  considered to be wages or compensation until such amount isearned,  vested,  and determinable. The amount and availability of  any bonus, commission, incentive, benefits, or any other form of compensation and benefits that areallocable to a   particular employee  remains in the Company’s sole and absolute discretion unless and until paid and may be  modified at the Company’s sole and absolutediscretion,  consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our...

🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our...

Headquarters: Remote

Research Scientist, Professional Creative Workflows
<REMOTE> 

 

About the Role

We are seeking a highly motivated Research Scientist to join our Research team. The role focuses on advancing the next generation of generative AI systems for professional creative workflows, spanning image, video, 3D, vector graphics, and design.

This is a general research role with room for academic publication, long-horizon exploration, and technically ambitious work, while remaining grounded in real projects with meaningful product impact. The ideal candidate can move fluidly between frontier research, rigorous experimentation, and prototype systems that inform how professional creators work with generative AI.

We are looking for a broad, technically deep researcher who can combine ideas across fields and modalities, connecting concepts from areas such as computer vision, graphics, generative modeling, and design to address complex creative workflows.

You will work on research that enables creators and enterprises to generate, edit, structure, refine, and reuse visual assets across modalities, supporting workflows in which different forms of media and design intent work together rather than as isolated generation tasks.

Responsibilities

• Conduct original research in generative AI for professional creative workflows across image, video, 3D, vector graphics, and design.
• Develop new methods that advance the state of the art while remaining relevant to real creative and production workflows.
• Publish research at leading academic venues where appropriate, while also contributing to high-impact internal projects.
• Explore multimodal generative systems that integrate image, video, 3D, vector graphics, and design, with an emphasis on controllability, editability, and reusable asset creation.
• Translate research insights into prototypes, experiments, and model capabilities that can inform product direction.
• Work with researchers, engineers, designers, and product teams to identify important research problems with meaningful downstream impact.
• Design datasets, benchmarks, and evaluation protocols for professional workflows where quality, editability, consistency, brand adherence, and production usefulness matter.
• Stay at the frontier of generative media research and identify opportunities to combine ideas across computer graphics, vision, language, video, and creative tooling.
• Contribute to a research culture that values technical depth, intellectual breadth, publication quality, and practical relevance.

Qualifications

• Strong academic research track record in computer vision, computer graphics, machine learning, generative modeling, computational imaging, visual computing, or a related field.
• PhD or equivalent research experience in Computer Science, Machine Learning, Computer Graphics, Computer Vision, or a closely related discipline.
• Demonstrated ability to conduct original research, publish papers, and build working systems or prototypes.
• Experience in generative and multimodal modeling, including areas such as diffusion models, transformers, 3D generation, neural rendering, inverse rendering, video generation, image editing, controllable generation, or design automation.
• Broad technical background across several of the following areas:
• Generative image models
• Video generation or video editing
• 3D asset generation, reconstruction, neural rendering, or geometry processing
• Differentiable rendering, inverse rendering, materials, lighting, or relighting
• Vector graphics, layout, typography, or design systems
• Multimodal representation learning
• Professional media, VFX, games, e-commerce, design, or creative tooling
• Strong programming skills in Python and PyTorch, with the ability to implement, adapt, and extend modern research code.
• Ability to reason about both research quality and workflow quality, including controllability, iteration speed, editability, consistency, reliability, and integration into existing creative processes.
• Strong communication skills, with the ability to explain research ideas clearly to both research and product-oriented collaborators.
• Evidence of creative technical judgment: the ability to combine ideas from different fields into new research directions rather than only incrementally improving existing systems.

Highly Desirable

• Publications at top-tier venues such as CVPR, ICCV, ECCV, SIGGRAPH, SIGGRAPH Asia, NeurIPS, ICLR, ICML, or related venues.
• Research experience spanning more than one modality, especially across image, video, 3D, vector graphics, design, or multimodal generation.
• Experience with professional creative domains such as VFX, games, animation, product visualization, advertising, graphic design, or 3D asset production.
• Experience with controllable generation, layered image editing, material and lighting decomposition, multi-view consistency, relightable assets, vector-aware generation, or structured design outputs.
• Experience building research prototypes that influence product direction or enable new product capabilities.

Equal Employment Opportunity

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or other legally protected statuses.

 

To apply: https://weworkremotely.com/remote-jobs/stability-ai-research-scientist-professional-creative-workflows

POSITION SUMMARY:

The Senior Clinical Research Associate is responsible for the overall operational execution of clinical studies on one or more clinical projects/programs; from study concept through study completion. This position will perform required job duties with guidance from Clinical Trial Managers to ensure that trial timelines, costs, and quality metrics are met, and the study is conducted in compliance with the study protocol, SOPs, and applicable regulatory requirements helps design and execute clinical research activities.

PRIMARY RESPONSIBILITIES:

• Provide high level logistical support for clinical study operations, including study start up, study supplies, site qualification, site initiation, site management, study monitoring, and close out for clinical research studies and collaborations

• Develop study-related documents with minimal Clinical Trial Manager guidance including: protocol, informed consent forms, training materials, protocol amendments, monitoring plans, synopses, and ethics committee submissions, as required

• Manage small to medium size study contracting, budget, invoicing and payment process for all clinical trial vendors including investigative sites with minimal oversight

• Support the Clinical Data Management team in the design and content of case report forms, completion guidelines, including support and testing of an EDC

• Manage the preparation, handling, filing, and archiving of clinical documentation and reports according to SOPs and study requirements

• Overseeing clinical trial supplies related to biospecimen collection, processing, shipment, and storage as, well as maintenance of associated tracking information

• Train CROs, vendors, investigators, and study coordinators on study requirements and provide guidance on site issues

• Monitor and track clinical trial progress, provide status updates to stakeholders

• Develop new study monitoring plans, and monitor studies following study monitoring plans to identify protocol deviations or data discrepancies

• Perform study activities including consent participants for research studies, ethics board submissions, participant data and sample tracking using in-house and CRO databases, for studies where Natera functions as a Clinical Research Site.

• Update Clinical Department SOPs with guidance from CTM and/or Director

• Partner with other research and development groups at Natera to achieve deliverables

• Perform other duties as assigned

• This role works with PHI on a regular basis both in paper and electronic form and have an access to various technologies to access PHI (paper and electronic) in order to perform the job.

• Employee must provide records of current training or complete training relating to HIPAA/PHI privacy, Human Subjects Protection, and GCP.

• Must maintain a current status on Natera training requirements including General Policies, Procedure Compliance, and security training

• Employee must pass post offer criminal background check

QUALIFICATIONS:

• BA/BS degree in life sciences, related field, or equivalent

• Minimum of 4 years of experience working on clinical studies in the academic, biopharma, diagnostics, or medical device fields

KNOWLEDGE, SKILLS AND ABILITIES:

• Experience with clinical EDC systems,

• Familiarity with the organization and structure of the Trial Master File (TMF)

• Familiarity with bio sample management, sample processing, and biobanking best practices

• Competency in SOPs, ICH-GCP, FDA Regulations

• Proficiency in MS Word, Excel and PowerPoint

• Demonstrated ability to work independently and lead projects

• Demonstrated analytical skills and ability to identify complicated problems and propose solutions

• Strong interpersonal skills and communication skills (both written and oral)

• Excellent writing skills

• Detail oriented, with solid organization and time management skills

The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.

Remote USA

$99,400—$124,200 USD

OUR OPPORTUNITY

Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives.

The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you’ll work hard and grow quickly. Working alongside the elite of the industry, you’ll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management.

WHAT WE OFFER

Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program!

For more information, visit www.natera.com.

Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide.

All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws.

If you are based in California, we encourage you to read this important information for California residents.

Link: https://www.natera.com/notice-of-data-collection-california-residents/

Please be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes.

For more information:

- BBB announcement on job scams

- FBI Cyber Crime resource page

At NVIDIA, we address some of the world’s most exciting challenges with our unique approach to accelerated computing.

About Phaidra Phaidra is building the future of industrial automation. The world today is filled with static, monolithic infrastructure. Factories, power plants, buildings, etc. operate the same they’ve operated for...

About Phaidra Phaidra is building the future of industrial automation. The world today is filled with static, monolithic infrastructure. Factories, power plants, buildings, etc. operate the same they’ve operated for...

About Phaidra Phaidra is building the future of industrial automation. The world today is filled with static, monolithic infrastructure. Factories, power plants, buildings, etc. operate the same they’ve operated for...

Company Description

About AbbVie

AbbVie’s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

The Senior Research Statistician will provide statistical support to the research and development organization by partnering with study teams to monitor ongoing clinical trials and generate timely, data-driven insights. This role will focus on reviewing accumulating clinical trial data, evaluating predefined program criteria, conducting exploratory analyses, and supporting informed decision-making throughout study execution.

Responsibilities:

• The statistician will work closely with study statisticians, programmers, and cross-functional stakeholders to assess study progress, identify emerging trends and risks, and provide analytical support that enhances trial oversight while maintaining scientific rigor.
• The statistician will also be expected to participate in standardized analysis modules development and agentic AI related development work
• Contribute to design, analysis and reporting of clinical trials or other scientific research studies. Assist with development of protocols and/or statistical analysis plans with details for programming implementation. Work under supervision to implement sound statistical methodology in scientific investigations.
• Assist in identifying scientifically appropriate data collection instruments. Identify and report data issues or violations of study assumptions. Provide programming specifications for derived variables and analysis datasets. Collaborate with Data Science in preparing for database lock.
• With supervision perform statistical analyses as per the analysis plan. Collaborate with Statistical Programming to ensure the delivery of high-quality outputs according to agreed-upon timelines. Evaluate appropriateness of available software for planned analyses and assess needs for potential development of novel statistical methodology.
• With supervision, develop strategy for data presentation and inference. Ensure appropriate interpretation of statistical deliverables in collaboration with other functions. Collaborate in publication of scientific research. Ensure accuracy and internal consistency of reports and publications, including tables, listings, and figures. Ensure the accuracy of the statistical component of scientific reports and/or publications with high quality.
• Work collaboratively with cross-functional teams. Clearly explain statistical concepts to non-statisticians. Provide responses to questions and pursue analyses suggested by data under supervision. Support communications between assigned product team(s) and functional management. Build/drive cross-functional relationships and collaboration.

Qualifications

Minimum Requirements:

• PhD in Statistics, Biostatistics, Data Science, Mathematics, Epidemiology, or a related quantitative field.

• Strong understanding of statistical methodologies and clinical trial data analysis.

• Experience with statistical programming in R

Preferred Qualifications:

• SAS Experience is a plus

Other Required Skills:

• Experience analyzing complex datasets and translating findings into actionable insights.

• Ability to conduct exploratory analyses, interim analyses, and data monitoring activities.

• Strong problem-solving and quantitative reasoning skills.

• Excellent written and verbal communication skills.

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at  the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors  including  geographic location, and we may ultimately  pay more or less than the posted range. This range may be  modified in the future. ​

• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​

• This job is eligible to  participate in our short-term incentive programs.  ​

Note: No amount of pay is  considered to be wages or compensation until such amount is earned,  vested,  and determinable. The amount and availability of  any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a   particular employee  remains in the Company’s sole and absolute discretion unless and until paid and may be  modified at the Company’s sole and absolute discretion,  consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

Company Description

About AbbVie

AbbVie’s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

The Senior Research Statistician will provide statistical support to the research and development organization by partnering with study teams to monitor ongoing clinical trials and generate timely, data-driven insights. This role will focus on reviewing accumulating clinical trial data, evaluating predefined program criteria, conducting exploratory analyses, and supporting informed decision-making throughout study execution.

Responsibilities:

• The statistician will work closely with study statisticians, programmers, and cross-functional stakeholders to assess study progress, identify emerging trends and risks, and provide analytical support that enhances trial oversight while maintaining scientific rigor.
• The statistician will also be expected to participate in standardized analysis modules development and agentic AI related development work
• Contribute to design, analysis and reporting of clinical trials or other scientific research studies. Assist with development of protocols and/or statistical analysis plans with details for programming implementation. Work under supervision to implement sound statistical methodology in scientific investigations.
• Assist in identifying scientifically appropriate data collection instruments. Identify and report data issues or violations of study assumptions. Provide programming specifications for derived variables and analysis datasets. Collaborate with Data Science in preparing for database lock.
• With supervision perform statistical analyses as per the analysis plan. Collaborate with Statistical Programming to ensure the delivery of high-quality outputs according to agreed-upon timelines. Evaluate appropriateness of available software for planned analyses and assess needs for potential development of novel statistical methodology.
• With supervision, develop strategy for data presentation and inference. Ensure appropriate interpretation of statistical deliverables in collaboration with other functions. Collaborate in publication of scientific research. Ensure accuracy and internal consistency of reports and publications, including tables, listings, and figures. Ensure the accuracy of the statistical component of scientific reports and/or publications with high quality.
• Work collaboratively with cross-functional teams. Clearly explain statistical concepts to non-statisticians. Provide responses to questions and pursue analyses suggested by data under supervision. Support communications between assigned product team(s) and functional management. Build/drive cross-functional relationships and collaboration.

Qualifications

Minimum Requirements:

• PhD in Statistics, Biostatistics, Data Science, Mathematics, Epidemiology, or a related quantitative field.

• Strong understanding of statistical methodologies and clinical trial data analysis.

• Experience with statistical programming in R

Preferred Qualifications:

• SAS Experience is a plus

Other Required Skills:

• Experience analyzing complex datasets and translating findings into actionable insights.

• Ability to conduct exploratory analyses, interim analyses, and data monitoring activities.

• Strong problem-solving and quantitative reasoning skills.

• Excellent written and verbal communication skills.

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at  the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors  including  geographic location, and we may ultimately  pay more or less than the posted range. This range may be  modified in the future. ​

• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​

• This job is eligible to  participate in our short-term incentive programs.  ​

Note: No amount of pay is  considered to be wages or compensation until such amount is earned,  vested,  and determinable. The amount and availability of  any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a   particular employee  remains in the Company’s sole and absolute discretion unless and until paid and may be  modified at the Company’s sole and absolute discretion,  consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

At Catawiki, every day brings the extraordinary! Whether it’s Daniel Ricciardo’s Formula 1 Car, a Woolly Mammoth’s Skeleton, Lady Gaga’s Jumpsuit or Usain Bolt’s running shoe, we encounter exceptional objects every day.

We’re a one-of-a-kind marketplace for buying and selling special objects. Each week, more than 100,000 unique items are auctioned, all carefully curated by our passionate in-house experts.

Having sold over 25 million unique objects, our mission is to become the world’s most popular destination for special objects. As a growing, diverse and sustainable scale-up, we proudly live by three core values. If these values resonate with you, we’d love to explore how you can join us.

• Taking ownership and driving impact
• Being open to change and feedback
• Being passionate about our mission and our customers.

Our Data Story

With ten-thousands of active items on auction every day, hundred-thousands of bids, millions of users, and billions of events, the Catawiki platform generates vast amounts of data. We collect this data centrally, using it to generate business insights, as well as powering machine learning models that enhance our user experience, optimize our workflows, and keep our platform safe. We believe in creating flexible models that can be applied to a variety of use cases, and in experimentation and iteration to hit the ground running and continually improve the tools we build.The Data Team, which covers the full data spectrum of Machine Learning, Analysis and Data Engineering, has a clear a mission within Catawiki:

Why: We believe that by using data in a smart way, we can build the best Catawiki possible. We want to have impact and see opportunities everywhere.

How: We are builders, thinkers and talkers. We collaborate closely with every department to create value for our customers. We think big and hold ourselves to high standards, because our work really matters for the future of the company.

What: As a result we create business value by delivering scalable, robust models and actionable insights and predictions. We help the company to find opportunities and understand success, and we empower everyone to use data to be successful.

So what’s the job

As a Senior Machine Learning Data Scientist in the Data Team at Catawiki you will focus on delivering scalable and impactful data products. You’ll work closely with our product and development teams while implementing your work. This includes:

• Building production-ready models that apply machine learning and advanced data science techniques within our product offering by writing robust and scalable code.
• Finding data science opportunities by exploring our extensive mobile and web data, and applying machine learning and advanced statistics to tackle these real-world business problems.
• Being pragmatic when needed but also able to go deep into a problem, applying your expert knowledge of machine learning techniques
• Working with cross-disciplinary teams involving product owners, developers, UX designers, and business analysts in identifying improvements and new use cases for ML
• Deploy scalable models using Kubernetes on cloud infrastructure, producing real-time, asynchronous, and batch predictions

Who you are

• You are an all-around data scientist with 5+ years of experience who is as comfortable diving into the internals of a model implementation as discussing new opportunities for ML with product stakeholders
• Can use your broad skill set to solve challenging ML problems and have a high throughput.
• Are familiar with a range of different ML techniques and use that to select a good solution for their projects.
• Are able to considers the operating/deployment constraints of large models and implement solutions accordingly
• Give guidance and unblock others in your team by supporting them with advice and new techniques.
• Have a strong quantitative background (statistics, ML, sciences, etc.)
• Are fluent in Python and capable with SQL
• Have deployed ML models serving real time responses on a large scale
• Have demonstrable experience in building robust data products that created value for the company you worked for.

The following are a plus:

• Proven ability to extract meaning from very big datasets with little engineering support.
• Experience with one or more of the following: PyTorch/Tensorflow, LightFM, Git, Docker, Kubernetes, Google BigQuery, MySQL, Spark, Airflow, Kafka, nginx, CI/CD,
• An entrepreneurial mindset that enables you to get things done, even if that requires actions outside your own area or comfort zone.

Where you’ll be

This role is based in Lisbon. We work in a hybrid model with two days a week in the office.

Why You’ll Love Working with Us

• Create a visible impact by working at scale in a global organisation serving millions of customers across 80+ categories. In our flat structure, every role has a broad scope and directly impacts both our customers and the business.
• Learn and grow through our Learning & Development initiatives, including clear development plans and mentorship programmes to support your career progression.
• A culture of connection defines us. We’re a passionate, diverse team of 800+ Catawikians representing 60+ nationalities. We foster an inclusive and queer-friendly environment where everyone is encouraged to bring their full self to work.
• Celebrate life’s moments with us. You’ll receive a €100 Catavoucher when you join, a €50 Catavoucher on your birthday, and an extra day off each year to “Pursue Your Passion ”. We also offer additional leave for key work anniversaries and important life events. Benefits may vary by location.

Our Offices and Way of Working

Our vibrant offices in Amsterdam and Lisbon are designed to inspire collaboration. Most Catawikians operate in a hybrid setup, combining office-based and remote work, with a minimum of two days per week in the office, unless a role is explicitly stated as fully remote or fully office-based.

Interested?

Apply with an English CV and Cover Letter. By applying, you agree to Catawiki’s Applicant Privacy Policy. If you’re excited about this role but don’t meet every requirement, we still encourage you to apply anyway. You may be just the right candidate for this or other roles.

POS-7292

Role Summary

Our mission at HubSpot is to help millions of organizations grow better.

The Customer Insights team, part of the Integrated Marketing & Strategy organization, helps HubSpot make better decisions by bringing the voice of the market and customer into product and go-to-market strategy. As a Senior Market Researcher, you’ll design and deliver research that uncovers market opportunities, customer needs, competitive dynamics, and emerging trends across Marketing, Sales, and Service. You’ll partner closely with Product Marketing, Product, UX Research, Customer Experience, Strategy, and executive stakeholders to translate complex business questions into clear, actionable insights that shape strategic decisions.

What You’ll Do

• Lead end-to-end quantitative and mixed-method market research projects, from research design through executive-ready recommendations.
• Design surveys, sampling strategies, and research methodologies that produce reliable, actionable insights.
• Analyze research data using statistical techniques and AI-assisted workflows to identify meaningful trends, customer behaviors, and market opportunities.
• Synthesize findings from multiple sources—including market research, customer feedback, UX research, competitive intelligence, and secondary research—to develop comprehensive points of view.
• Partner with Product Marketing, Product Management, Strategy, Customer Experience, and UX Research teams to translate business questions into research plans that inform strategic decisions.
• Deliver compelling presentations and storytelling that influence product strategy, messaging, positioning, and go-to-market priorities.
• Manage relationships with external research vendors and panel providers to ensure high-quality data collection and project execution.
• Continuously evolve research methodologies, leveraging AI-powered research tools and emerging best practices to improve efficiency, scalability, and insight quality.

What You’ll Bring

Required Qualifications

• 5+ years of experience in Market Research, Customer Insights, Consumer Insights, or a related research discipline, ideally within B2B SaaS or technology.
• Expertise designing and executing quantitative market research, including survey methodology, questionnaire design, sampling, and statistical analysis.
• Experience with modern research platforms such as Qualtrics, QuestionPro, or similar survey tools.
• Experience incorporating AI tools (such as ChatGPT, Claude, Gemini, or similar technologies) into research workflows to improve efficiency and insight generation.
• Strong executive communication skills with the ability to translate complex research into clear business recommendations.
• Demonstrated ability to manage multiple concurrent research initiatives and prioritize effectively in a fast-moving environment.
• Experience building collaborative relationships across Product, Marketing, Strategy, UX Research, Customer Experience, and leadership teams.

Nice-to-Have Qualifications

• Experience researching CRM, Marketing Technology, Sales/CRM, Customer Service, or adjacent B2B software markets
• Experience with AI-native research platforms such as Outset.ai, Panoplai (Glimpse), or similar emerging research technologies
• Experience managing external research agencies, panel providers, or syndicated research vendors
• Experience building executive dashboards or visualizations
• Familiarity with competitive intelligence, market sizing, segmentation, or pricing research

Where You’ll Work

• Location: United States
• Work Location Preference: Remote (Hybrid eligible where applicable)
• Travel: Up to once per year

Application Requirements

• Applications must be submitted by: Monday, August 3rd at 9am ET
• Applications must be submitted in: English
• Cover Letter: Optional

Pay & Benefits

The cash compensation below includes base salary, on-target commission for employees in eligible roles, and annual bonus targets under HubSpot’s bonus plan for eligible roles. In addition to cash compensation, some roles are eligible to participate in HubSpot’s equity plan to receive restricted stock units (RSUs). Some roles may also be eligible for overtime pay. Individual compensation packages are tailored to your skills, experience, qualifications, and other job-related reasons.

This resource will help guide how we recommend thinking about the range you see. Learn more about HubSpot’s compensation philosophy.

Benefits are also an important piece of your total compensation package. Explore the benefits and perks HubSpot offers to help employees grow better.

At HubSpot, fair compensation practices aren’t just about checking off the box for legal compliance. It’s about living out our value of transparency with our employees, candidates, and community.

Annual Cash Compensation Range:

$112,000—$168,000 USD

We know the confidence gap and impostor syndrome can get in the way of meeting spectacular candidates, so please don’t hesitate to apply — we’d love to hear from you.

If you need accommodations or assistance due to a disability, please reach out to us using this form.

At HubSpot, we value both flexibility and connection. Whether you’re a Remote employee or work from the Office, we want you to start your journey here by building strong connections with your team and peers. If you are joining our Engineering team, you will be required to attend a regional HubSpot office for in-person onboarding. If you join our broader Product team, you’ll also attend other in-person events, such as your Product Group Summit and other gatherings, to continue building on those connections.

If you require an accommodation due to travel limitations or other reasons, please inform your recruiter during the hiring process. We are committed to supporting candidates who may need alternative arrangements

Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Germany Applicants: (m/f/d) - link to HubSpot’s Career Diversity page here.

India Applicants: link to HubSpot India’s equal opportunity policy here.

About HubSpot

HubSpot (NYSE: HUBS) is an AI-powered customer platform with all the software, integrations, and resources customers need to connect marketing, sales, and service. HubSpot’s connected platform enables businesses to grow faster by focusing on what matters most: customers.

At HubSpot, bold is our baseline. Our employees around the globe move fast, stay customer-obsessed, and win together. Our culture is grounded in four commitments: Solve for the Customer, Be Bold, Learn Fast, Align, Adapt & Go!, and Deliver with HEART. These commitments shape how we work, lead, and grow.

We’re building a company where people can do their best work. We focus on brilliant work, not badge swipes. By combining clarity, ownership, and trust, we create space for big thinking and meaningful progress. And we know that when our employees grow, our customers do too.

Recognized globally for our award-winning culture by Comparably, Glassdoor, Fortune, and more, HubSpot is headquartered in Cambridge, MA, with employees and offices around the world.

Explore more:

• HubSpot Careers
• Life at HubSpot on Instagram

HubSpot may use AI to help screen or assess candidates, but all hiring decisions are always human. More information can be found here. By submitting your application, you agree that HubSpot may collect your personal data for recruiting, global organization planning, and related purposes. We may use CLEAR ID Verification during the hiring process to confirm your identity and help maintain a safe, secure, and trusted experience for all candidates. Refer to HubSpot’s Recruiting Privacy Notice for details on data processing and your rights.

Role OverviewWe are seeking an AI Researcher with deep experience in inference optimization to design, evaluate, and deploy high-performance inference systems for large-scale machine learning models.

Company Background

Censys’ mission is to be the one place to understand everything on the internet. Frustrated by the lack of trustworthy Internet intelligence, we set out to create the industry’s most comprehensive, accurate, and up-to-date map of the Internet. Today, Censys delivers real-time Internet intelligence and actionable threat insights to global governments, over 50% of the Fortune 500, and leading threat intelligence providers worldwide.

As a Security Security Researcher, you’ll have the opportunity to work at the intersection of large-scale internet measurement, advanced threat research, and real-world cybersecurity events. Our research doesn’t just advance academic knowledge—it’s leveraged to directly protect enterprise customers and support critical national security initiatives. You’ll collaborate with world-class researchers, engineers, and product teams while having the freedom to pursue ambitious research projects that push the boundaries of what’s possible in cybersecurity. With our strong partnerships across government and commercial sectors, your work will have immediate real-world application and visibility at the highest levels of the security community.

We’re looking for a Security Researcher with deep, hands-on offensive security experience — penetration testing, red teaming, adversary emulation, CNO — to join our Research team, known as ARC. This is a role that generates original, attacker’s-eye insight and turns it into both product capability and public research.You’ll work at the intersection of three things: how real attackers operate, what that means for how Censys should scan, fingerprint, and characterize the Internet, and how to communicate that to both engineering teams and the broader security community.

This position is located remotely with no expectation to work from a Censys office.  This position is also expected to travel once per quarter for industry events and team onsites.

What you’ll do:

• Drive product capability. Bring an offensive practitioner’s perspective to Censys’s scanning, fingerprinting, and attack surface data. Identify gaps in detection logic, protocol coverage, and vulnerability signals that only someone who has actually broken into networks would notice.
• Conduct original research. Investigate emerging attack techniques, exploitation trends, C2 infrastructure, and adversary tradecraft using Internet-wide scan data and your own testing methodology.
• Publish seminal work. Produce research reports, technical blog posts, and conference-caliber material (DEF CON, Black Hat, BSides, etc.) that establishes Censys as an authoritative voice in offensive security.
• Collaborate cross-functionally. Partner with Engineering and Product to translate research findings into new scanning modules, fingerprints, risk indicators, and detection features.
• Lead agentic AI threat research. Build, deploy, and evaluate agentic AI frameworks — autonomous penetration testing agents, LLM-powered vulnerability research tools, multi-agent swarms — both as tradecraft research (i.e., “how do attackers use these tools”) and as Censys product capability (i.e., “how do we detect that adversaries are using them”). Where AI-assisted vulnerability discovery shows promise, determine what Censys’ scanning and fingerprinting posture should be for the signals those tools leave behind.
• Track adversary infrastructure. Use red team and pentest tradecraft knowledge to identify how threat actors stand up, configure, and hide infrastructure — and encode that knowledge into repeatable detection logic.
• Mentor and inform. Act as an internal subject-matter expert on offensive techniques, helping other researchers and engineers reason about attacker behavior.
• Demonstrates curiosity, a willingness to learn, and sound judgment in applying AI

Skills and experience you’ll have:

• 5+ years of hands-on penetration testing, red teaming, or adversary emulation experience against enterprise, cloud, or Internet-facing environments.
• Demonstrated ability to independently identify and characterize vulnerabilities, misconfigurations, or exploitation techniques.
• Strong understanding of network protocols, service fingerprinting, and Internet-scale scanning concepts (or a fast ability to pick them up).
• Hands-on experience with agentic systems for offensive security. You have built, evaluated, or operated LLM-powered attack agents using autonomous pentest frameworks such as: HackSynth, RedTeamLLM, CAI, PentAG, and successors; AI-assisted vulnerability research pipelines, or multi-agent adversary emulation tooling. You also have demonstrated understanding of the failure modes of this agentic tooling
• Proficiency in scripting or coding (Python, Go, or similar) to build tooling, automate testing, or analyze large datasets.
• Familiarity with red team frameworks and tradecraft (C2 frameworks, initial access techniques, living-off-the-land methods, evasion).
• Comfort working with large-scale Internet scan data or a strong interest in learning to do so.

Preferred skills/experience:

• Relevant certifications (OSCP, OSCE, OSEP, GXPN, or equivalent demonstrated skill).
• Experience with IoT, OT/ICS, or embedded device security research.
• Prior work as a researcher at a security vendor.
• Evidence of research/tooling contributions to the agentic offensive space (e.g., benchmarks, PoCs, AI-assisted vulnerability discoveries) and demonstrated agentic AI red teaming work (e.g., Microsoft’s PyRIT, the Cloud Security Alliance’s Agentic AI Red Teaming Guide, or equivalent tooling and methodology)
• A track record of public research output — CVEs, conference talks, technical blog posts, or tool releases — that shows you can communicate findings clearly to a technical audience.
• Familiarity with compliance-adjacent security testing (e.g., how pentest findings map to SOC 2, ISO 27001, or CMMC control requirements) is a plus, though not the core focus of this role.

You’ll have access to a dataset that most researchers only dream about — a continuously updated map of the entire Internet’s exposed attack surface — and the mandate to turn what you find into both product impact and public research that shapes how the industry thinks about offensive security.

For high cost of living areas in the US (San Francisco / Seattle / NYC), the expected salary range for this position is $220,000 USD - $278,000 USD, plus bonus eligibility and equity.

For all other locations in the US, the expected salary range for this position is $202,000 USD - $254,000 USD, plus bonus eligibility and equity.

For candidates being considered outside of the US, location specific market data will be evaluated and discussed during the interview process.

Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 83% and 100% of range. Please discuss your specific work location with your recruiter for more information.

For US Employees: Censys offers a competitive benefits package to employees, including equity, health, dental & vision coverage, retirement with company contribution, parental leave, mental health & wellness benefits, flexible PTO, and a professional development stipend. Censys also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Please see our careers page for more details. For employees located outside of the US, location-specific benefits are available and will the information pertaining to those will be provided to you during the interview process.

We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to your recruiter. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.

To ensure the integrity of our hiring process and in attempt to facilitate a more personal connection, we require all candidates to keep their cameras on during video interviews. You may also be required to meet a Censys employee at one point during your process. Additionally, if hired, you will be invited to visit Ann Arbor, Michigan for in-person onboarding.

By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with our Censys Privacy Policy.

We value diversity and are committed to creating an inclusive environment for all employees. Censys is an equal opportunity employer.

Note to external recruiters/agencies: We are not currently engaging with third-party agencies for this role and will not accept unsolicited outreach. We kindly ask that you do not submit resumes or candidate profiles to our team.

California Privacy Rights Notice

Pursuant to the California Consumer Privacy Act (CCPA), we are providing you with notice that we collect personal information from job applicants for business purposes, including evaluating your candidacy for employment, conducting interviews, and, if applicable, completing the hiring process. The categories of information we may collect include identifiers (such as name and contact information), professional or employment-related information (such as work history, education, and references), and other information you provide in your application. We do not sell or share your personal information. For more information on how we use and protect your personal information, and your rights under the CCPA, please refer to our Privacy Policy.

At Catawiki, every day brings the extraordinary! Whether it’s Daniel Ricciardo’s Formula 1 Car, a Woolly Mammoth’s Skeleton, Lady Gaga’s Jumpsuit or Usain Bolt’s running shoe, we encounter exceptional objects every day.

We’re a one-of-a-kind marketplace for buying and selling special objects. Each week, more than 100,000 unique items are auctioned, all carefully curated by our passionate in-house experts.

Having sold over 25 million unique objects, our mission is to become the world’s most popular destination for special objects. As a growing, diverse and sustainable scale-up, we proudly live by three core values. If these values resonate with you, we’d love to explore how you can join us.

• Taking ownership and driving impact
• Being open to change and feedback
• Being passionate about our mission and our customers.

Our Data Story

With ten-thousands of active items on auction every day, hundred-thousands of bids, millions of users, and billions of events, the Catawiki platform generates vast amounts of data. We collect this data centrally, using it to generate business insights, as well as powering machine learning models that enhance our user experience, optimize our workflows, and keep our platform safe. We believe in creating flexible models that can be applied to a variety of use cases, and in experimentation and iteration to hit the ground running and continually improve the tools we build.The Data Team, which covers the full data spectrum of Machine Learning, Analysis and Data Engineering, has a clear a mission within Catawiki:

Why: We believe that by using data in a smart way, we can build the best Catawiki possible. We want to have impact and see opportunities everywhere.

How: We are builders, thinkers and talkers. We collaborate closely with every department to create value for our customers. We think big and hold ourselves to high standards, because our work really matters for the future of the company.

What: As a result we create business value by delivering scalable, robust models and actionable insights and predictions. We help the company to find opportunities and understand success, and we empower everyone to use data to be successful.

So what’s the job

As a Senior Machine Learning Data Scientist in the Data Team at Catawiki you will focus on delivering scalable and impactful data products. You’ll work closely with our product and development teams while implementing your work. This includes:

• Building production-ready models that apply machine learning and advanced data science techniques within our product offering by writing robust and scalable code.
• Finding data science opportunities by exploring our extensive mobile and web data, and applying machine learning and advanced statistics to tackle these real-world business problems.
• Being pragmatic when needed but also able to go deep into a problem, applying your expert knowledge of machine learning techniques
• Working with cross-disciplinary teams involving product owners, developers, UX designers, and business analysts in identifying improvements and new use cases for ML
• Deploy scalable models using Kubernetes on cloud infrastructure, producing real-time, asynchronous, and batch predictions

Who you are

• You are an all-around data scientist with 5+ years of experience who is as comfortable diving into the internals of a model implementation as discussing new opportunities for ML with product stakeholders
• Can use your broad skill set to solve challenging ML problems and have a high throughput.
• Are familiar with a range of different ML techniques and use that to select a good solution for their projects.
• Are able to considers the operating/deployment constraints of large models and implement solutions accordingly
• Give guidance and unblock others in your team by supporting them with advice and new techniques.
• Have a strong quantitative background (statistics, ML, sciences, etc.)
• Are fluent in Python and capable with SQL
• Have deployed ML models serving real time responses on a large scale
• Have demonstrable experience in building robust data products that created value for the company you worked for.

The following are a plus:

• Proven ability to extract meaning from very big datasets with little engineering support.
• Experience with one or more of the following: PyTorch/Tensorflow, LightFM, Git, Docker, Kubernetes, Google BigQuery, MySQL, Spark, Airflow, Kafka, nginx, CI/CD,
• An entrepreneurial mindset that enables you to get things done, even if that requires actions outside your own area or comfort zone.

Where you’ll be

This role is based in Amsterdam  but we can offer remote work from the following countries: France, Germany, Belgium, Italy, Spain and The U.K. We also offer an excellent relocation package for people living outside of the Netherlands.

Here’s what we can offer you

This is your chance to become part of a fast but sustainable growing tech company! You will have an exciting role in a young, fast-growing, dynamic & international organisation. You’ll be part of an enthusiastic, highly motivated team of 800+ international Catawikians; you’ll have big responsibilities and can really create something. Additionally you can expect:

• An attractive Stock Options package
• Working with a top notch team acting on a champions league level in a super complex dynamic environment; you will learn a lot!
• A diverse and international team with over 50 different nationalities.
• A great office located in the heart of Amsterdam with an easy-going atmosphere.
• Our entrepreneurial environment encourages everyone to take initiative and experiment with new ideas. You’ll actively contribute to the growth of the Catawiki platform.
• Tailor-made trainings to facilitate your personal and professional growth
• The fun part! Our Activity Committee plans everything from ‘CataFooty’ to International Food Festivals, Friday Drinks, Board Game Nights, Pub Quizzes and Boot Camps!
• And there’s more! Paid holidays, holiday allowance and a fantastic pension plan paid for by Catawiki.

Why You’ll Love Working with Us

• Create a visible impact by working at scale in a global organisation serving millions of customers across 80+ categories. In our flat structure, every role has a broad scope and directly impacts both our customers and the business.
• Learn and grow through our Learning & Development initiatives, including clear development plans and mentorship programmes to support your career progression.
• A culture of connection defines us. We’re a passionate, diverse team of 800+ Catawikians representing 60+ nationalities. We foster an inclusive and queer-friendly environment where everyone is encouraged to bring their full self to work.
• Celebrate life’s moments with us. You’ll receive a €100 Catavoucher when you join, a €50 Catavoucher on your birthday, and an extra day off each year to “Pursue Your Passion ”. We also offer additional leave for key work anniversaries and important life events. Benefits may vary by location.

Our Offices and Way of Working

Our vibrant offices in Amsterdam and Lisbon are designed to inspire collaboration. Most Catawikians operate in a hybrid setup, combining office-based and remote work, with a minimum of two days per week in the office, unless a role is explicitly stated as fully remote or fully office-based.

Interested?

Apply with an English CV and Cover Letter. By applying, you agree to Catawiki’s Applicant Privacy Policy. If you’re excited about this role but don’t meet every requirement, we still encourage you to apply anyway. You may be just the right candidate for this or other roles.

Company Background

Censys’ mission is to be the one place to understand everything on the internet. Frustrated by the lack of trustworthy Internet intelligence, we set out to create the industry’s most comprehensive, accurate, and up-to-date map of the Internet. Today, Censys delivers real-time Internet intelligence and actionable threat insights to global governments, over 50% of the Fortune 500, and leading threat intelligence providers worldwide.

As a Security Security Researcher, you’ll have the opportunity to work at the intersection of large-scale internet measurement, advanced threat research, and real-world cybersecurity events. Our research doesn’t just advance academic knowledge—it’s leveraged to directly protect enterprise customers and support critical national security initiatives. You’ll collaborate with world-class researchers, engineers, and product teams while having the freedom to pursue ambitious research projects that push the boundaries of what’s possible in cybersecurity. With our strong partnerships across government and commercial sectors, your work will have immediate real-world application and visibility at the highest levels of the security community.

We’re looking for a Security Researcher with deep, hands-on offensive security experience — penetration testing, red teaming, adversary emulation, CNO — to join our Research team, known as ARC. This is a role that generates original, attacker’s-eye insight and turns it into both product capability and public research.You’ll work at the intersection of three things: how real attackers operate, what that means for how Censys should scan, fingerprint, and characterize the Internet, and how to communicate that to both engineering teams and the broader security community.

This position is located remotely with no expectation to work from a Censys office.  This position is also expected to travel once per quarter for industry events and team onsites.

What you’ll do:

• Drive product capability. Bring an offensive practitioner’s perspective to Censys’s scanning, fingerprinting, and attack surface data. Identify gaps in detection logic, protocol coverage, and vulnerability signals that only someone who has actually broken into networks would notice.
• Conduct original research. Investigate emerging attack techniques, exploitation trends, C2 infrastructure, and adversary tradecraft using Internet-wide scan data and your own testing methodology.
• Publish seminal work. Produce research reports, technical blog posts, and conference-caliber material (DEF CON, Black Hat, BSides, etc.) that establishes Censys as an authoritative voice in offensive security.
• Collaborate cross-functionally. Partner with Engineering and Product to translate research findings into new scanning modules, fingerprints, risk indicators, and detection features.
• Lead agentic AI threat research. Build, deploy, and evaluate agentic AI frameworks — autonomous penetration testing agents, LLM-powered vulnerability research tools, multi-agent swarms — both as tradecraft research (i.e., “how do attackers use these tools”) and as Censys product capability (i.e., “how do we detect that adversaries are using them”). Where AI-assisted vulnerability discovery shows promise, determine what Censys’ scanning and fingerprinting posture should be for the signals those tools leave behind.
• Track adversary infrastructure. Use red team and pentest tradecraft knowledge to identify how threat actors stand up, configure, and hide infrastructure — and encode that knowledge into repeatable detection logic.
• Mentor and inform. Act as an internal subject-matter expert on offensive techniques, helping other researchers and engineers reason about attacker behavior.
• Demonstrates curiosity, a willingness to learn, and sound judgment in applying AI

Skills and experience you’ll have:

• 5+ years of hands-on penetration testing, red teaming, or adversary emulation experience against enterprise, cloud, or Internet-facing environments.
• Demonstrated ability to independently identify and characterize vulnerabilities, misconfigurations, or exploitation techniques.
• Strong understanding of network protocols, service fingerprinting, and Internet-scale scanning concepts (or a fast ability to pick them up).
• Hands-on experience with agentic systems for offensive security. You have built, evaluated, or operated LLM-powered attack agents using autonomous pentest frameworks such as: HackSynth, RedTeamLLM, CAI, PentAG, and successors; AI-assisted vulnerability research pipelines, or multi-agent adversary emulation tooling. You also have demonstrated understanding of the failure modes of this agentic tooling
• Proficiency in scripting or coding (Python, Go, or similar) to build tooling, automate testing, or analyze large datasets.
• Familiarity with red team frameworks and tradecraft (C2 frameworks, initial access techniques, living-off-the-land methods, evasion).
• Comfort working with large-scale Internet scan data or a strong interest in learning to do so.

Preferred skills/experience:

• Relevant certifications (OSCP, OSCE, OSEP, GXPN, or equivalent demonstrated skill).
• Experience with IoT, OT/ICS, or embedded device security research.
• Prior work as a researcher at a security vendor.
• Evidence of research/tooling contributions to the agentic offensive space (e.g., benchmarks, PoCs, AI-assisted vulnerability discoveries) and demonstrated agentic AI red teaming work (e.g., Microsoft’s PyRIT, the Cloud Security Alliance’s Agentic AI Red Teaming Guide, or equivalent tooling and methodology)
• A track record of public research output — CVEs, conference talks, technical blog posts, or tool releases — that shows you can communicate findings clearly to a technical audience.
• Familiarity with compliance-adjacent security testing (e.g., how pentest findings map to SOC 2, ISO 27001, or CMMC control requirements) is a plus, though not the core focus of this role.

You’ll have access to a dataset that most researchers only dream about — a continuously updated map of the entire Internet’s exposed attack surface — and the mandate to turn what you find into both product impact and public research that shapes how the industry thinks about offensive security.

For high cost of living areas in the US (San Francisco / Seattle / NYC), the expected salary range for this position is $220,000 USD - $278,000 USD, plus bonus eligibility and equity.

For all other locations in the US, the expected salary range for this position is $202,000 USD - $254,000 USD, plus bonus eligibility and equity.

For candidates being considered outside of the US, location specific market data will be evaluated and discussed during the interview process.

Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 83% and 100% of range. Please discuss your specific work location with your recruiter for more information.

For US Employees: Censys offers a competitive benefits package to employees, including equity, health, dental & vision coverage, retirement with company contribution, parental leave, mental health & wellness benefits, flexible PTO, and a professional development stipend. Censys also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Please see our careers page for more details. For employees located outside of the US, location-specific benefits are available and will the information pertaining to those will be provided to you during the interview process.

We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to your recruiter. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.

To ensure the integrity of our hiring process and in attempt to facilitate a more personal connection, we require all candidates to keep their cameras on during video interviews. You may also be required to meet a Censys employee at one point during your process. Additionally, if hired, you will be invited to visit Ann Arbor, Michigan for in-person onboarding.

By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with our Censys Privacy Policy.

We value diversity and are committed to creating an inclusive environment for all employees. Censys is an equal opportunity employer.

Note to external recruiters/agencies: We are not currently engaging with third-party agencies for this role and will not accept unsolicited outreach. We kindly ask that you do not submit resumes or candidate profiles to our team.

California Privacy Rights Notice

Pursuant to the California Consumer Privacy Act (CCPA), we are providing you with notice that we collect personal information from job applicants for business purposes, including evaluating your candidacy for employment, conducting interviews, and, if applicable, completing the hiring process. The categories of information we may collect include identifiers (such as name and contact information), professional or employment-related information (such as work history, education, and references), and other information you provide in your application. We do not sell or share your personal information. For more information on how we use and protect your personal information, and your rights under the CCPA, please refer to our Privacy Policy.

At Sword, we’re building AI to heal billions and unlock humanity’s full potential. In doing so, we’re pioneering AI Care, a fundamentally new approach to healthcare built for medical reasoning,...

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