Research Scientist Jobs in New York
Research Scientist jobs in New York draw strong demand across pharmaceuticals, biotechnology, academic medicine, and materials science, with openings at every level from junior researcher to principal scientist. The heaviest hiring is concentrated in New York City, the Hudson Valley biotech corridor, and Long Island's life sciences cluster, where employers like Pfizer, Memorial Sloan Kettering Cancer Center, and IBM Research maintain deep research operations. Computational biology, oncology research, and materials informatics are among the most sought-after specialties in the current New York market. Find a role that fits below and apply directly.
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DESCRIPTION
The Ads Measurement Science team in the Measurement, Ad Tech, and Data Science (MADS) team of Amazon Ads serves a centralized role developing solutions for a multitude of performance measurement products. We create solutions which measure the comprehensive impact of advertiser's ad spend, including sales impacts both online and offline and across timescales, and provide actionable insights that enable our advertisers to optimize their media portfolios. We also own the science solutions for AI tools that unlock new insights and automate high-effort customer workflows, such as custom query and report generation based on natural language user requests. We leverage a host of scientific technologies to accomplish this mission, including Generative AI, classical ML, Causal Inference, Natural Language Processing, and Computer Vision.
As a Senior Research Scientist on the team, you will be at the forefront of innovation, developing measurement solutions end-to-end from inception to production. You will set the technical vision and innovate on behalf of our customers. You will propose, design, analyze, and productionize models to provide novel measurement insights to our customers. You will partner with engineering to deploy these solutions into production. You will work with key stakeholders from various business teams to enable advertisers to act upon those metrics.
Key job responsibilities
- Lead the development of ad measurement models and solutions that address the full spectrum of an advertiser's investment, focusing on scalable and efficient methodologies.
- Collaborate closely with cross-functional teams including engineering, product management, and business teams to define and implement measurement solutions.
- Use state-of-the-art scientific technologies including Generative AI, Classical Machine Learning, Causal Inference, Natural Language Processing, and Computer Vision to develop state of the art models that measure the impact of ad spend across multiple platforms and timescales.
- Drive experimentation and the continuous improvement of ML models through iterative development, testing, and optimization.
- Translate complex scientific challenges into clear and impactful solutions for business stakeholders.
- Mentor and guide junior scientists, fostering a collaborative and high-performing team culture.
- Foster collaborations between scientists to move faster, with broader impact.
- Regularly engage with the broader scientific community with presentations, publications, and patents.
A day in the life
You will solve real-world problems by getting and analyzing large amounts of data, generate business insights and opportunities, design simulations and experiments, and develop statistical and ML models. The team is driven by business needs, which requires collaboration with other Scientists, Engineers, and Product Managers across the advertising organization. You will prepare written and verbal presentations to share insights to audiences of varying levels of technical sophistication.
About the team
We are a team of scientists across Applied, Research, Data Science and Economist disciplines. You will work with colleagues with deep expertise in ML, NLP, CV, Gen AI, and Causal Inference with a diverse range of backgrounds. We partner closely with top-notch engineers, product managers, sales leaders, and other scientists with expertise in the ads industry and on building scalable modeling and software solutions.
BASIC QUALIFICATIONS
- 3+ years of investigating the feasibility of applying scientific principles and concepts to business problems and products experience
- PhD, or Master's degree and 5+ years of quantitative field research experience
- Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.
- Experience communicating qualitative research methods and findings to non-qualitative researchers
PREFERRED QUALIFICATIONS
- Experience converting research studies into tangible real-world changes
- Experience with discrete and continuous optimization methodologies and algorithms
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, NY, New York - 175,100.00 - 236,900.00 USD annually
DESCRIPTION
The Ads Measurement Science team in the Measurement, Ad Tech, and Data Science (MADS) team of Amazon Ads serves a centralized role developing solutions for a multitude of performance measurement products. We create solutions which measure the comprehensive impact of advertiser's ad spend, including sales impacts both online and offline and across timescales, and provide actionable insights that enable our advertisers to optimize their media portfolios. We also own the science solutions for AI tools that unlock new insights and automate high-effort customer workflows, such as custom query and report generation based on natural language user requests. We leverage a host of scientific technologies to accomplish this mission, including Generative AI, classical ML, Causal Inference, Natural Language Processing, and Computer Vision.
As a Senior Research Scientist on the team, you will be at the forefront of innovation, developing measurement solutions end-to-end from inception to production. You will set the technical vision and innovate on behalf of our customers. You will propose, design, analyze, and productionize models to provide novel measurement insights to our customers. You will partner with engineering to deploy these solutions into production. You will work with key stakeholders from various business teams to enable advertisers to act upon those metrics.
Key job responsibilities
- Lead the development of ad measurement models and solutions that address the full spectrum of an advertiser's investment, focusing on scalable and efficient methodologies.
- Collaborate closely with cross-functional teams including engineering, product management, and business teams to define and implement measurement solutions.
- Use state-of-the-art scientific technologies including Generative AI, Classical Machine Learning, Causal Inference, Natural Language Processing, and Computer Vision to develop state of the art models that measure the impact of ad spend across multiple platforms and timescales.
- Drive experimentation and the continuous improvement of ML models through iterative development, testing, and optimization.
- Translate complex scientific challenges into clear and impactful solutions for business stakeholders.
- Mentor and guide junior scientists, fostering a collaborative and high-performing team culture.
- Foster collaborations between scientists to move faster, with broader impact.
- Regularly engage with the broader scientific community with presentations, publications, and patents.
A day in the life
You will solve real-world problems by getting and analyzing large amounts of data, generate business insights and opportunities, design simulations and experiments, and develop statistical and ML models. The team is driven by business needs, which requires collaboration with other Scientists, Engineers, and Product Managers across the advertising organization. You will prepare written and verbal presentations to share insights to audiences of varying levels of technical sophistication.
About the team
We are a team of scientists across Applied, Research, Data Science and Economist disciplines. You will work with colleagues with deep expertise in ML, NLP, CV, Gen AI, and Causal Inference with a diverse range of backgrounds. We partner closely with top-notch engineers, product managers, sales leaders, and other scientists with expertise in the ads industry and on building scalable modeling and software solutions.
BASIC QUALIFICATIONS
- 3+ years of investigating the feasibility of applying scientific principles and concepts to business problems and products experience
- PhD, or Master's degree and 5+ years of quantitative field research experience
- Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.
- Experience communicating qualitative research methods and findings to non-qualitative researchers
PREFERRED QUALIFICATIONS
- Experience converting research studies into tangible real-world changes
- Experience with discrete and continuous optimization methodologies and algorithms
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, NY, New York - 175,100.00 - 236,900.00 USD annually
See All 123+ Research Scientist Jobs in New York
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Find Research Scientist JobsResearch Scientist Jobs by City in New York
Where New York roles are concentrated, by current openings.
Research Scientist Job Market in New York
A snapshot from current New York openings, updated as new roles post.
Who's Hiring
- New York University11
- NYU Langone Health6
- Thermo Fisher Scientific6
- Amneal Pharmaceuticals5
- Meta5
Top Industries Hiring
- Education23
- Consulting & Professional Services22
- Technology & Software22
- Science & Research17
- Biotechnology & Pharmaceuticals13
What New York Employers Look For
The qualifications that appear most often in research scientist jobs across New York.
- PhD in a relevant natural or applied science from an accredited institution
- Demonstrated record of peer-reviewed publication in a relevant scientific discipline
- Hands-on experience with domain-specific laboratory techniques or computational modeling platforms
- Proficiency with statistical analysis software such as R, Python, or SAS
- Ability to design, execute, and document independent research projects with minimal supervision
- Strong written and verbal communication skills for grant writing and cross-functional collaboration
Research Scientist Jobs in New York: Frequently Asked Questions
How do you become a research scientist in New York?
Becoming a research scientist in New York generally requires a doctoral degree in your scientific discipline, though some industry roles accept a master's combined with significant laboratory experience. New York does not license research scientists as a category, but roles in clinical research involving human subjects must comply with institutional review board requirements overseen by the New York State Department of Health. Most candidates build their path through postdoctoral appointments at institutions like Rockefeller University, Columbia, or NYU before moving into industry or government positions.
Which companies hire research scientists in New York?
Employers hiring research scientists in New York right now include New York University, NYU Langone Health, and Thermo Fisher Scientific, based on current listings on Migrate Mate as of June 2026. New York's dense concentration of pharmaceutical headquarters, academic medical centers, and federally funded research institutions means the employer pool is unusually broad and varied across sectors.
Which New York cities have the most research scientist jobs?
The cities with the most research scientist openings in New York are New York, Rochester, and Buffalo. New York City dominates because of its academic medical centers, corporate research headquarters, and biotech startups, while areas like Pearl River and Tarrytown in the Hudson Valley reflect the presence of major pharmaceutical campuses, and Long Island's openings cluster around research parks and university medical affiliates.
Are there remote research scientist jobs in New York?
Yes, but they're less common than in purely desk-based fields because most research scientist roles require hands-on laboratory access. About 13% of research scientist openings tied to New York are remote or hybrid as of June 2026, with the remote share concentrated in computational, bioinformatics, and data science-adjacent research roles that do not require bench work.
How can I get hired as a research scientist in New York with little or no experience?
The most realistic entry path is a postdoctoral or research associate appointment at a New York academic medical center or research university, where positions are specifically designed for candidates transitioning out of graduate training. Institutions like Memorial Sloan Kettering, Weill Cornell Medicine, and Cold Spring Harbor Laboratory run structured postdoc programs that routinely convert into full research scientist roles. Candidates without a PhD can enter through research assistant or laboratory technician positions, using those roles to build publication records and earn a competitive edge for promotion.
Where can I find and apply to research scientist jobs in New York?
You can find and apply to research scientist jobs in New York on Migrate Mate, which lists current New York openings across industries including pharmaceuticals, academic research, biotechnology, and government science. Find roles that fit your background and apply directly from the listing.
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