Principal Researcher Visa Sponsorship Jobs in New York
Principal researcher visa sponsorship jobs in New York are concentrated at pharmaceutical giants in Manhattan and Tarrytown, tech research labs in New York City, and academic medical centers across the state. Employers including Pfizer, IBM Research, Memorial Sloan Kettering, and Regeneron actively sponsor international researchers for roles requiring advanced scientific expertise.
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Do you want to define the scientific direction for how a global contact-center network forecasts demand, schedules its workforce, and optimizes operations in real time? The Eliza team within Amazon Connect (FCS) is looking for a Principal Research Scientist with a deep operations research specialization to set the research agenda in operations science — combinatorial optimization, queueing theory, stochastic modeling, and forecasting — and to translate that research into production systems that serve millions of customer interactions.
As a Principal Research Scientist, you will be the senior technical voice for operations research across the org. You will identify the highest-leverage scientific problems, architect novel solutions, and drive them from research through production deployment. You will not sit apart from the work — you will remain deeply hands-on with data, models, and systems while raising the scientific bar for scientists and engineers around you. This is an individual-contributor Principal role: your influence comes from technical depth, invention, and the ability to move business and engineering roadmaps through scientific rigor.
You will operate at the intersection of demand forecasting, workforce scheduling, and network optimization — applying combinatorial optimization to large-scale scheduling and resource-allocation problems and queueing theory to model contact-center dynamics under uncertainty, non-stationarity, and competing operational constraints at Internet scale — turning that reasoning into systems that continuously sense, predict, and optimize.
Key job responsibilities
- Set the multi-year research direction for operations research across contact-center demand prediction, workforce scheduling, and network optimization.
- Design and deliver novel algorithms in combinatorial optimization (large-scale scheduling, resource allocation, integer/constraint programming) and queueing theory (contact-center modeling, staffing under stochastic arrivals), alongside stochastic modeling and time-series forecasting, that advance the state of the art while solving real operational problems.
- Own end-to-end scientific solutions — from problem formulation and prototyping to production deployment — ensuring robustness, explainability, and seamless integration with existing systems.
- Design rigorous experiments and evaluation methodology to validate hypotheses and quantify business impact; establish scientific-excellence mechanisms (metrics, benchmarks, peer review) that the broader science team adopts.
- Partner with engineering, product, and operations teams to define data and logging requirements, get them prioritized on roadmaps, and translate scientific capabilities into measurable business outcomes.
- Influence senior leadership through written papers and deep-dives, framing complex algorithmic trade-offs in clear business terms.
- Mentor and raise the bar for applied and research scientists across the org while maintaining significant hands-on technical contribution.
- Represent the team's science externally where appropriate (publications, patents, top-tier venues such as INFORMS, NeurIPS, ICML).
A day in the life
Your day blends hands-on science with technical leadership. You might spend the morning deep in data and models — prototyping a new combinatorial-optimization formulation for workforce scheduling or a queueing model for staffing under stochastic arrivals against production infrastructure — and the afternoon guiding fellow scientists through a hard optimization or stochastic-modeling problem, reviewing an experiment design, or aligning engineering partners on the data architecture needed to unlock the next capability. You'll drive technical discussions with the team and key stakeholders, and periodically write and present papers that shape the business and engineering roadmap.
BASIC QUALIFICATIONS
- 10+ years of tech industry or equivalent experience
- PhD in a quantitative discipline such as statistics, mathematics, economics, computer science, or any related quantitative field
- Experience working effectively with science, data processing, and software engineering teams
PREFERRED QUALIFICATIONS
- PhD in operations research, applied mathematics, theoretical computer science, or equivalent, or experience in at least one of the related science disciplines (optimization - LP, MIP, statistics, machine learning, process control, combinatorial optimization)
- Experience in leading large-scale, technical or engineering programs with a proven record of thought leadership, business case development, realizing customer benefits, and successful program completion
- Experience scripting in modern programming languages, or experience with training and deploying machine learning systems to solve large-scale optimizations
- Patents or publications at top-tier peer-reviewed conferences or journals.
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.
COMPENSATION
- 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 - 208,300.00 - 281,800.00 USD annually
DESCRIPTION
Do you want to define the scientific direction for how a global contact-center network forecasts demand, schedules its workforce, and optimizes operations in real time? The Eliza team within Amazon Connect (FCS) is looking for a Principal Research Scientist with a deep operations research specialization to set the research agenda in operations science — combinatorial optimization, queueing theory, stochastic modeling, and forecasting — and to translate that research into production systems that serve millions of customer interactions.
As a Principal Research Scientist, you will be the senior technical voice for operations research across the org. You will identify the highest-leverage scientific problems, architect novel solutions, and drive them from research through production deployment. You will not sit apart from the work — you will remain deeply hands-on with data, models, and systems while raising the scientific bar for scientists and engineers around you. This is an individual-contributor Principal role: your influence comes from technical depth, invention, and the ability to move business and engineering roadmaps through scientific rigor.
You will operate at the intersection of demand forecasting, workforce scheduling, and network optimization — applying combinatorial optimization to large-scale scheduling and resource-allocation problems and queueing theory to model contact-center dynamics under uncertainty, non-stationarity, and competing operational constraints at Internet scale — turning that reasoning into systems that continuously sense, predict, and optimize.
Key job responsibilities
- Set the multi-year research direction for operations research across contact-center demand prediction, workforce scheduling, and network optimization.
- Design and deliver novel algorithms in combinatorial optimization (large-scale scheduling, resource allocation, integer/constraint programming) and queueing theory (contact-center modeling, staffing under stochastic arrivals), alongside stochastic modeling and time-series forecasting, that advance the state of the art while solving real operational problems.
- Own end-to-end scientific solutions — from problem formulation and prototyping to production deployment — ensuring robustness, explainability, and seamless integration with existing systems.
- Design rigorous experiments and evaluation methodology to validate hypotheses and quantify business impact; establish scientific-excellence mechanisms (metrics, benchmarks, peer review) that the broader science team adopts.
- Partner with engineering, product, and operations teams to define data and logging requirements, get them prioritized on roadmaps, and translate scientific capabilities into measurable business outcomes.
- Influence senior leadership through written papers and deep-dives, framing complex algorithmic trade-offs in clear business terms.
- Mentor and raise the bar for applied and research scientists across the org while maintaining significant hands-on technical contribution.
- Represent the team's science externally where appropriate (publications, patents, top-tier venues such as INFORMS, NeurIPS, ICML).
A day in the life
Your day blends hands-on science with technical leadership. You might spend the morning deep in data and models — prototyping a new combinatorial-optimization formulation for workforce scheduling or a queueing model for staffing under stochastic arrivals against production infrastructure — and the afternoon guiding fellow scientists through a hard optimization or stochastic-modeling problem, reviewing an experiment design, or aligning engineering partners on the data architecture needed to unlock the next capability. You'll drive technical discussions with the team and key stakeholders, and periodically write and present papers that shape the business and engineering roadmap.
BASIC QUALIFICATIONS
- 10+ years of tech industry or equivalent experience
- PhD in a quantitative discipline such as statistics, mathematics, economics, computer science, or any related quantitative field
- Experience working effectively with science, data processing, and software engineering teams
PREFERRED QUALIFICATIONS
- PhD in operations research, applied mathematics, theoretical computer science, or equivalent, or experience in at least one of the related science disciplines (optimization - LP, MIP, statistics, machine learning, process control, combinatorial optimization)
- Experience in leading large-scale, technical or engineering programs with a proven record of thought leadership, business case development, realizing customer benefits, and successful program completion
- Experience scripting in modern programming languages, or experience with training and deploying machine learning systems to solve large-scale optimizations
- Patents or publications at top-tier peer-reviewed conferences or journals.
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.
COMPENSATION
- 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 - 208,300.00 - 281,800.00 USD annually
Principal Researcher Job Roles in New York
See all 324+ Principal Researcher Jobs in New York
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Search Principal Researcher Jobs in New YorkPrincipal Researcher Jobs in New York: Frequently Asked Questions
Which companies sponsor visas for principal researchers in New York?
Major sponsors for principal researcher roles in New York include Pfizer, Bristol Myers Squibb, and Regeneron in pharmaceuticals; IBM Research in Yorktown Heights for computing and AI research; and academic medical centers such as Memorial Sloan Kettering, Mount Sinai, and Weill Cornell Medicine. Large tech firms with New York research operations, including Google and Meta, also have established sponsorship programs for senior research scientists.
Which visa types realistically fit principal researcher roles in New York?
The H-1B visa is the most common path, covering principal researcher roles as specialty occupations requiring at least a bachelor's degree in a directly related field. Employers file a Labor Condition Application and I-129 petition with USCIS. The O-1A visa suits researchers with recognized national or international distinction. EB-1B and EB-2 green card categories, including the National Interest Waiver, are frequently used for senior research scientists. Australians may qualify for the E-3 visa; Chileans and Singaporeans for the H-1B1 visa.
Which cities in New York have the most principal researcher sponsorship jobs?
New York City, particularly Manhattan and Brooklyn, accounts for the largest share of principal researcher sponsorship activity, driven by pharmaceutical headquarters, tech research labs, and major academic medical centers. Tarrytown and Sleepy Hollow host significant biotech and pharma research operations, including Regeneron. Yorktown Heights is notable for IBM Research. Buffalo and Rochester also offer sponsorship opportunities through university research hospitals and regional life sciences employers.
How to find principal researcher visa sponsorship jobs in New York?
Migrate Mate lists principal researcher roles in New York specifically from employers with verified visa sponsorship history, so you can focus your search on companies already familiar with the sponsorship process. Filter by role and location to surface active openings at pharma, biotech, and technology research employers across the state. This saves time compared to screening individual postings for sponsorship eligibility.
Are there state-specific factors that affect principal researcher sponsorship in New York?
New York's concentration of NIH-funded research institutions, top-ranked research universities such as Columbia, Cornell, and NYU, and a dense cluster of pharmaceutical and biotech employers creates strong demand for international principal researchers. The state's academic-to-industry pipeline is well established, meaning researchers transitioning from postdoctoral or faculty roles often find sponsors already experienced with H-1B and O-1 visa petitions for research-intensive positions.
What is the prevailing wage for sponsored principal researcher jobs in New York?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.