Scientist Jobs in New York
Scientist jobs in New York are among the most active in the country, concentrated in pharmaceuticals and biotechnology, academic research, environmental science, and public health, with openings at every level from research assistant through principal investigator and senior research scientist. The heaviest hiring is in and around New York City, Long Island's biotech corridor, and the Albany area, where employers like Pfizer, Memorial Sloan Kettering Cancer Center, and New York State Department of Health maintain lasting scientific workforces. The most in-demand specialties include computational biology, environmental chemistry, and clinical research science. Find a role that fits below and apply directly.
Find Scientist JobsOverview
Showing 5 of 191+ Scientist jobs
Location
New York City Office
Address
85 Spring Street, 10th Floor, New York, New York, 10012
Employment Type
Full time
Location Type
Hybrid
Department
All DepartmentsData
Compensation
- Zone A$176,400 - $226,800 $176.4K – $226.8K • Offers Equity
Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam.
About the Team
We’re part of Plaid’s Data organization, building models and insights that help millions of people better understand and grow their financial lives. We use Plaid’s unique financial data to help lenders make more informed decisions and build better credit experiences.
We partner across data science, engineering, product, and Go-to-Market to turn complex data into practical customer recommendations and scalable solutions. We value technical rigor, creativity, user empathy, and teamwork.
About the Role
As a Data Scientist on the Credit team, you’ll apply quantitative analysis and deep credit expertise to help lenders make better use of cash flow insights. You’ll work across customer problems, credit policy, and data products—translating Plaid’s data into recommendations and insights that drive business impact and inform product direction.
Your day-to-day responsibilities may include:
Deep-dive into model performance for clients, triage issues, and identify opportunities to improve outcomes.
Analyze Plaid’s unique data to identify emerging credit risk signals and build and evaluate credit retrospectives.
Create tailored recommendations for clients based on their data and Plaid’s insights.
Build and maintain data pipelines, including ETL processes using tools such as dbt.
Develop metrics, alerts, and dashboards to monitor production machine learning model performance.
In this role, you will:
Own the process of developing hands-on recommendations for incorporating cash flow insights into lending decisions, using best practices for account-level decisioning.
Improve customer adoption of Plaid Insights through custom analysis tailored to each customer’s needs.
Serve as a subject matter expert on credit insights and credit policy implementation, supporting Data Science, Engineering, and Go-to-Market partners.
Apply your expertise in quantitative analysis, data mining, and data visualization to develop models and actionable insights.
Identify useful signals that can inform machine learning models.
Inform and influence Product and Engineering teams through clear analysis and presentations.
What Excites You
Applying data science and credit expertise to real-world lending decisions.
Working with Plaid’s unique financial data to uncover emerging credit risk signals and create useful customer insights.
Helping lenders make more informed decisions with cash flow data and account-level recommendations.
Partnering across Data Science, Engineering, Product, and Go-to-Market to turn analysis into customer and product impact.
Working on high-impact problems that can improve financial access and outcomes.
What Excites Us
2–5 years of industry experience in a financial services Data Science role.
Deep familiarity with SQL and Python.
Deep understanding of credit risk and the development of underwriting models.
Hands-on credit expertise building and maintaining credit policies for lenders.
Knowledge of the lending lifecycle and how to optimize each step, including marketing, acquisition, customer management, and collections or recoveries.
Demonstrated ability to make data-driven decisions.
Nice to have: Experience building data pipelines and automating ETL processes with dbt or similar tools.
Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!
Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com.
Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
Compensation Range: $176.4K - $226.8KLocation
New York City Office
Address
85 Spring Street, 10th Floor, New York, New York, 10012
Employment Type
Full time
Location Type
Hybrid
Department
All DepartmentsData
Compensation
- Zone A$176,400 - $226,800 $176.4K – $226.8K • Offers Equity
Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam.
About the Team
We’re part of Plaid’s Data organization, building models and insights that help millions of people better understand and grow their financial lives. We use Plaid’s unique financial data to help lenders make more informed decisions and build better credit experiences.
We partner across data science, engineering, product, and Go-to-Market to turn complex data into practical customer recommendations and scalable solutions. We value technical rigor, creativity, user empathy, and teamwork.
About the Role
As a Data Scientist on the Credit team, you’ll apply quantitative analysis and deep credit expertise to help lenders make better use of cash flow insights. You’ll work across customer problems, credit policy, and data products—translating Plaid’s data into recommendations and insights that drive business impact and inform product direction.
Your day-to-day responsibilities may include:
Deep-dive into model performance for clients, triage issues, and identify opportunities to improve outcomes.
Analyze Plaid’s unique data to identify emerging credit risk signals and build and evaluate credit retrospectives.
Create tailored recommendations for clients based on their data and Plaid’s insights.
Build and maintain data pipelines, including ETL processes using tools such as dbt.
Develop metrics, alerts, and dashboards to monitor production machine learning model performance.
In this role, you will:
Own the process of developing hands-on recommendations for incorporating cash flow insights into lending decisions, using best practices for account-level decisioning.
Improve customer adoption of Plaid Insights through custom analysis tailored to each customer’s needs.
Serve as a subject matter expert on credit insights and credit policy implementation, supporting Data Science, Engineering, and Go-to-Market partners.
Apply your expertise in quantitative analysis, data mining, and data visualization to develop models and actionable insights.
Identify useful signals that can inform machine learning models.
Inform and influence Product and Engineering teams through clear analysis and presentations.
What Excites You
Applying data science and credit expertise to real-world lending decisions.
Working with Plaid’s unique financial data to uncover emerging credit risk signals and create useful customer insights.
Helping lenders make more informed decisions with cash flow data and account-level recommendations.
Partnering across Data Science, Engineering, Product, and Go-to-Market to turn analysis into customer and product impact.
Working on high-impact problems that can improve financial access and outcomes.
What Excites Us
2–5 years of industry experience in a financial services Data Science role.
Deep familiarity with SQL and Python.
Deep understanding of credit risk and the development of underwriting models.
Hands-on credit expertise building and maintaining credit policies for lenders.
Knowledge of the lending lifecycle and how to optimize each step, including marketing, acquisition, customer management, and collections or recoveries.
Demonstrated ability to make data-driven decisions.
Nice to have: Experience building data pipelines and automating ETL processes with dbt or similar tools.
Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!
Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com.
Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
Compensation Range: $176.4K - $226.8KSee All 191+ Scientist Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
Find Scientist JobsScientist Jobs by City in New York
Where New York roles are concentrated, by current openings.
Scientist Job Market in New York
A snapshot from current New York openings, updated as new roles post.
Who's Hiring
- Meta20
- Amazon16
- University of Rochester9
- New York University8
- mecka4
Top Industries Hiring
- Education
- Healthcare & Medical Services
- Food & Beverage
- Medical Devices
- Technology & Software
What New York Employers Look For
The qualifications that appear most often in scientist jobs across New York.
- Bachelor's degree or higher in biology, chemistry, or a closely related scientific field
- Demonstrated laboratory or field research experience relevant to the position's scientific discipline
- Proficiency with data analysis tools and statistical software commonly used in scientific research
- Familiarity with regulatory compliance and safety protocols for New York laboratory environments
- Strong written and verbal communication skills for preparing research reports and collaborating with teams
- Experience with grant writing, peer-reviewed publication, or scientific project management is a plus
Scientist Jobs in New York: Frequently Asked Questions
How do you become a scientist in New York?
Most scientist roles in New York require at minimum a bachelor's degree in a natural or applied science, with research or laboratory positions at universities and pharmaceutical firms often preferring a master's or doctorate. New York does not issue a general state license for scientists, but specific fields carry their own requirements: environmental scientists may need registration with the New York State Department of Environmental Conservation, and clinical laboratory scientists must hold a New York State clinical laboratory technologist license issued through the Office of the Professions.
Which companies hire scientists in New York?
Employers hiring scientists in New York right now include Meta, Amazon, and University of Rochester, based on current listings on Migrate Mate as of November 2026. New York's concentration of major academic medical centers, pharmaceutical manufacturers on Long Island, and state environmental agencies means demand is distributed well beyond Manhattan.
Which New York cities have the most scientist jobs?
The cities with the most scientist openings in New York are New York, Rochester, and Brooklyn. New York City dominates because of its density of hospitals, academic research institutions, and biotech firms, while Long Island suburbs like Hauppauge and Melville anchor the pharmaceutical and environmental science sectors, and Albany draws demand from state government agencies and public health research organizations.
Are there remote scientist jobs in New York?
Yes, but they're less common than in desk-based fields because much scientific work requires hands-on laboratory or field access. About 70% of scientist openings tied to New York are remote or hybrid as of November 2026, reflecting a meaningful but minority share of the overall market. The roles most likely to allow remote or hybrid schedules are those focused on data analysis, scientific writing, regulatory affairs, and computational modeling rather than bench or field work.
How can I get hired as a scientist in New York with little or no experience?
The most realistic entry path is a research assistant or laboratory technician role, which large New York employers such as academic medical centers, state health agencies, and Long Island pharmaceutical campuses use as structured on-ramps for candidates without independent research experience. New graduates should target new-hire programs and post-baccalaureate research fellowships offered through institutions like the Rockefeller University, Cold Spring Harbor Laboratory, and the New York State Department of Health. A New York clinical laboratory technologist license or relevant volunteer fieldwork with the Department of Environmental Conservation can give early-career candidates a concrete edge.
Where can I find and apply to scientist jobs in New York?
You can find and apply to scientist jobs in New York on Migrate Mate, which lists current openings across the state updated in real time. Search the listings to find roles that match your background and experience level, then apply directly to the ones that fit.
See All 191+ Scientist Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
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