Senior Researcher Jobs in New York
Senior Researcher jobs in New York are among the most active in the country, concentrated in biomedical sciences, social policy, finance, and academic research across institutions from entry-level research associate through principal investigator and senior analyst roles. New York City, Albany, and Buffalo are the primary hiring metros, with institutions like Memorial Sloan Kettering Cancer Center, Columbia University, and JPMorgan Chase maintaining consistent demand for senior researchers. The most sought-after specialties in New York are clinical and translational research, quantitative social science, and financial risk analysis. Find a role that fits below and apply directly.
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Showing 5 of 106+ Senior Researcher jobs
Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company co-headquartered in Toronto and San Francisco, with key offices in London, New York City, Montreal, Seoul, Germany and Paris. Join us!
Role Overview As a Senior Research Engineer in our Safety team, you will play a key role in helping develop safer, more secure, and more reliable models. Your primary focus will be on building tools to enable easy data synthesis, analysis, and management, for complex combinations of real and synthetic data that is used in both model training and evaluation. You will own the cohesive vision of these tooling repositories. You will work closely with a team of research scientists and engineers to create tooling that enables tighter experimentation cycles, better data coverage of the real world, and more scientific rigour. You will have a lot of autonomy and need to be opinionated about what areas of the codebase need elegance and standards, and where that would be overengineering. You will be given high level experimental problems that need to be solved with efficient pipelines, and design and implement the solutions. Your data analysis will collaboratively feed into modelling decisions and experimentation. This role combines expertise in software engineering, statistics, and data science. If any of these topics sound interesting to you, we encourage you to apply. You will be working on the Modelling Safety and Trust team, so interest in these areas is a plus, but is not at all required.
Please Note: We have offices in London, Edinburgh, Paris, Toronto, Montreal and New York, but we also embrace being remote-friendly! This role has timezone restrictions (UK, Europe, or ET) but no location restrictions.
Key Responsibilities
- Design and implement robust data pipeline tooling that enables frequent, low-friction data generation and annotation
- Create cohesive data infrastructure that supports continuous parallel operation with model experimentation
- Establish standardized processes for data validation, analysis, and improvement of data both training and evaluation
- Collaborate with the ML modeling team to align data capabilities with experimental needs
- Maintain opinionated, well-documented solutions that become team standards
- Develop systematic analysis frameworks to identify incoming data sources and benchmark coverage gaps
Qualifications
- Extremely strong software engineering skills.
- Strong statistical skills and experience evaluating scientific experiments related to data collection and model performance.
- Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch, TensorFlow, JAX).
- Demonstrated ability to own complex technical projects from conception to deployment
- Opinionated approach to technical architecture with ability to make principled decisions
- Understanding of ML data requirements and the intersection of data engineering with modeling workflows
Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.
Compensation Cohere is committed to fair and transparent pay practices. The salary range listed for this role reflects the expected base compensation. Actual compensation offered will be determined by factors such as location, level, job-related knowledge, skills, education, and experience:
United States
- For candidates based in New York, the compensation range is: $270,000 – $380,000
- For candidates based elsewhere in the US (ET), the compensation range is: $230,000 – $325,000
Canada
- For candidates based in the Toronto GTA and Montreal, the compensation range is: $385,000 – $535,000
- For candidates based elsewhere in Canada (ET), the compensation range is: $330,000 – $460,000
Elsewhere
- To be discussed with your recruiter
Full-Time Employees At Cohere Enjoy These Perks
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
How And Where We Work
- Cohere is remote-friendly. We have offices in Toronto, San Francisco, New York City, London, Paris, Montreal, and more coming soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company co-headquartered in Toronto and San Francisco, with key offices in London, New York City, Montreal, Seoul, Germany and Paris. Join us!
Role Overview As a Senior Research Engineer in our Safety team, you will play a key role in helping develop safer, more secure, and more reliable models. Your primary focus will be on building tools to enable easy data synthesis, analysis, and management, for complex combinations of real and synthetic data that is used in both model training and evaluation. You will own the cohesive vision of these tooling repositories. You will work closely with a team of research scientists and engineers to create tooling that enables tighter experimentation cycles, better data coverage of the real world, and more scientific rigour. You will have a lot of autonomy and need to be opinionated about what areas of the codebase need elegance and standards, and where that would be overengineering. You will be given high level experimental problems that need to be solved with efficient pipelines, and design and implement the solutions. Your data analysis will collaboratively feed into modelling decisions and experimentation. This role combines expertise in software engineering, statistics, and data science. If any of these topics sound interesting to you, we encourage you to apply. You will be working on the Modelling Safety and Trust team, so interest in these areas is a plus, but is not at all required.
Please Note: We have offices in London, Edinburgh, Paris, Toronto, Montreal and New York, but we also embrace being remote-friendly! This role has timezone restrictions (UK, Europe, or ET) but no location restrictions.
Key Responsibilities
- Design and implement robust data pipeline tooling that enables frequent, low-friction data generation and annotation
- Create cohesive data infrastructure that supports continuous parallel operation with model experimentation
- Establish standardized processes for data validation, analysis, and improvement of data both training and evaluation
- Collaborate with the ML modeling team to align data capabilities with experimental needs
- Maintain opinionated, well-documented solutions that become team standards
- Develop systematic analysis frameworks to identify incoming data sources and benchmark coverage gaps
Qualifications
- Extremely strong software engineering skills.
- Strong statistical skills and experience evaluating scientific experiments related to data collection and model performance.
- Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch, TensorFlow, JAX).
- Demonstrated ability to own complex technical projects from conception to deployment
- Opinionated approach to technical architecture with ability to make principled decisions
- Understanding of ML data requirements and the intersection of data engineering with modeling workflows
Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.
Compensation Cohere is committed to fair and transparent pay practices. The salary range listed for this role reflects the expected base compensation. Actual compensation offered will be determined by factors such as location, level, job-related knowledge, skills, education, and experience:
United States
- For candidates based in New York, the compensation range is: $270,000 – $380,000
- For candidates based elsewhere in the US (ET), the compensation range is: $230,000 – $325,000
Canada
- For candidates based in the Toronto GTA and Montreal, the compensation range is: $385,000 – $535,000
- For candidates based elsewhere in Canada (ET), the compensation range is: $330,000 – $460,000
Elsewhere
- To be discussed with your recruiter
Full-Time Employees At Cohere Enjoy These Perks
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
How And Where We Work
- Cohere is remote-friendly. We have offices in Toronto, San Francisco, New York City, London, Paris, Montreal, and more coming soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
See All 106+ Senior Researcher Jobs in New York
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Find Senior Researcher JobsSenior Researcher Jobs by City in New York
Where New York roles are concentrated, by current openings.
Senior Researcher Job Market in New York
A snapshot from current New York openings, updated as new roles post.
Who's Hiring
- Jefferies10
- Nicholas H. Noyes Memorial Hospital7
- Amazon4
- Columbia University4
- New York University4
Top Industries Hiring
- Investment & Asset Management21
- Technology & Software16
- Consulting & Professional Services13
- Education11
- Healthcare & Medical Services11
What New York Employers Look For
The qualifications that appear most often in senior researcher jobs across New York.
- Master's or doctoral degree in a relevant field such as biology, social science, or economics
- Minimum five years of research experience with demonstrated independent project leadership
- Proficiency in statistical software such as R, Python, SAS, or SPSS for data analysis
- Strong publication record or portfolio of applied research deliverables and reports
- Experience securing or managing grant funding from federal agencies or private foundations
- Familiarity with IRB protocols and human subjects research compliance requirements
Senior Researcher Jobs in New York: Frequently Asked Questions
How do you become a senior researcher in New York?
Most senior researcher roles in New York require at least a master's degree, and many positions at universities, hospitals, and policy institutes expect a doctorate. New York does not issue a general state license for researchers, but roles in clinical or laboratory settings may require institutional credentialing through a New York-based IRB or compliance office. Candidates typically advance from associate or research analyst roles by building an independent project record and, in academic or medical settings, a publication history.
Which companies hire senior researchers in New York?
Employers hiring senior researchers in New York right now include Jefferies, Nicholas H. Noyes Memorial Hospital, and Amazon, based on current listings on Migrate Mate as of June 2026. New York's concentration of academic medical centers, think tanks, and financial institutions means senior researcher openings appear across a broader range of industries here than in most other states.
Which New York cities have the most senior researcher jobs?
New York, Buffalo, and Elmwood Ave account for the most senior researcher openings in New York. New York City dominates due to the density of universities, hospital systems, and financial firms headquartered there, while Albany draws openings tied to state government policy research and public health agencies, and Buffalo has grown as a hub for life sciences and university-affiliated research centers.
Are there remote senior researcher jobs in New York?
Yes, and more than most fields. Senior researcher work is often desk-based and analytical, making it well-suited to remote and hybrid arrangements. About 22% of senior researcher openings tied to New York are remote or hybrid as of June 2026, reflecting broad adoption across policy, finance, and social science roles. Laboratory and clinical research positions remain primarily on-site.
How can I get hired as a senior researcher in New York with little or no experience?
The most realistic entry path is a research assistant or associate role, which large New York employers such as NYU Langone, the RAND Corporation's New York office, and the Federal Reserve Bank of New York offer to candidates with a relevant bachelor's or master's degree. Lateral moves from roles like data analyst, program evaluator, or clinical coordinator are common stepping stones. Building a portfolio of completed projects and completing IRB certification through the CITI Program strengthens any application significantly.
Where can I find and apply to senior researcher jobs in New York?
You can find and apply to senior researcher jobs in New York on Migrate Mate, which lists current openings across the state. Search the listings, find roles that match your background and preferred location, and apply directly to the employers posting them.
See All 106+ Senior Researcher Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
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