Senior Researcher Visa Sponsorship Jobs in New Jersey
Senior researcher visa sponsorship jobs in New Jersey are concentrated around the state's pharmaceutical and biotech corridor, with major employers including Johnson & Johnson, Merck, Bristol Myers Squibb, and Sanofi headquartered or operating across cities like New Brunswick, Rahway, and Princeton. Academic institutions such as Rutgers and Princeton University also sponsor senior research positions regularly.
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Do you have a background in computational research and love to write code? Do you want to help enable and advance groundbreaking research in space physics? If so, Princeton University's Research Computing department is recruiting a Research Software Engineer to join its RSE Group and the Space Physics Group in the Department of Astrophysical Sciences.
In the Space Physics Group, you will create software that supports the Interstellar Mapping and Acceleration Probe (IMAP) mission. The probe launched in 2025 to explore the details of particle acceleration and the Sun’s interaction with the local interstellar medium. The instruments on board collect and transmit data back to Earth, providing IMAP scientists with opportunities to make new discoveries about the global heliosphere.
In the RSE Group, we collectively provide computational research expertise to multiple divisions within the University. As a central team of software experts, we are focused on improving the quality, performance, and sustainability of Princeton’s computational research software. Our group is committed to building collaborative environments in which the best software engineering practices are valued, and to sharing and applying cross-disciplinary computational techniques in new and emerging areas.
In this position, you will be an integral member of the IMAP mission, focused on cutting-edge space physics research. You will join teams of researchers contributing to the development of efficient and scalable research code by providing computational expertise in software development, algorithm selection, and optimization. As a Senior RSE, you will also mentor and provide technical leadership to the Research Software Engineering team, as well as teach advanced computational techniques to raise the computational capability of the team. You may also have the opportunity to co-author scientific publications.
If you have a background in scientific programming, high performance computing, or academic research you have the right skill set to make an immediate impact on multiple high-profile research projects. You will be poised to grow and expand your programming and data analytics expertise into a dynamic new set of research problems. This position will require you to work closely with colleagues in the departments of Astrophysical Sciences and Research Computing, as well as with faculty, student/postdoctoral researchers, and technical staff to enable and accelerate their research computing efforts.
This role functions within a dynamic, supportive team environment that permits diverse backgrounds to thrive, including those wanting to make a career change and those with non-traditional career tracks, educational paths, or life experiences. If this environment sounds like a strong match or even an exciting challenge, we encourage you to apply and use your cover letter to explain why you would be a good fit for the role.
This is an 18-month benefits-eligible term position with a possibility of extension.
Responsibilities:
Application of Domain Expertise:
- Has a strong command of the research domain with proficient understanding of the underlying science, math, statistics, data analysis, and algorithms of computational research questions at a level sufficient to converse on projects with Princeton’s world-class researchers to consistently contribute to the ongoing work. This may consist of keeping abreast of advances in the domain, independent research (reading publications, etc.) and/or studying existing code bases.
- Working independently, initiate open collaboration with researchers. Regularly meet with, listen to, and ask questions of researchers to ensure that engineered solutions fit the research need. Understand and address software engineering questions that arise in research planning.
- Apply appropriate domain specific algorithms, techniques and code to advance software engineering in the research field.
Research Software Engineer:
- Working independently guided by high level objectives, to quickly translate research priorities into flexible software solutions that consistently contribute to ongoing research project(s).
- Independently use researcher-provided requirements and desired end state to build software solutions. To achieve this, RSEs are expected to figure out the problem through independent research, develop an appropriate solution, and provide full documentation for usage by the research team.
- Identify solutions for each project, establish a set of applicable best practices for individual or team use that is uniquely appropriate for that project (e.g version control, continuous integration and continuous delivery, software design, programming model, etc.), and enable long term maintainability and sustainability by documenting the projects in a descriptive and appropriately detailed manner.
- Independently provide technical expertise and guidance for improving the performance and quality of new and existing code bases through hands-on work with ongoing research.
- Responding to evolving research needs, apply broad research software engineering experience to develop novel, creative, and robust software solutions to solve challenging research problems quickly and efficiently. Port, debug, tune and potentially parallelize existing research code to meet criteria set by the research needs.
- Develop novel, creative and robust software tools that allow researchers to interact in flexible ways with extremely large data sets quickly and efficiently.
- Independently develops scope and project management plans, meets and sets milestone delivery timeline, and proactively communicates with the research team. Communicate complex software engineering concepts with project teams consisting of domain experts with a varying degree of software engineering knowledge.
- Raise the computational capability of graduate students and postdoctoral researchers through training and workshops, consultation, knowledge transfer, expertise, and best practices.
Professional Development:
- Maintaining technical skill set and expertise to include software development tools and techniques, software engineering best practices, programming languages, high-performance computing hardware, and computational research solutions. Focused on advancing depth of knowledge in key areas dictated by the research.
Technical Leadership:
- Show technical leadership through mentoring, instructing and educating less experienced Research Software Engineers in advanced computational techniques learned from developing novel research software engineering project solutions.
- In collaboration with RSE group leadership and other senior RSEs, contribute to the organization of professional development and team growth activities.
QUALIFICATIONS
- Strong programming skills, particularly in the languages used in scientific computing applications (specifically Python).
- 7+ years’ experience as a Research Software Engineer, this includes graduate level and postdoctoral work.
- Experience with Python libraries (especially NumPy) and the Python ecosystem of tools for managing environments and code testing, linting, dependency management and packaging (e.g., Poetry), etc.
- Demonstrated success:
- Consistently using conventional and readable coding style.
- Performing test-driven development.
- Creating comprehensive and well-written documentation.
- Participating in regular code reviews as both a reviewer and reviewee.
- Developing and maintaining reproducible build systems.
- Using version control systems.
- Using CI/CD pipelines.
- Demonstrated successes contributing to a collaborative research team.
- Ability to work independently.
- Ability to learn new programming languages and technologies beyond area of core knowledge.
- Ability to communicate effectively with a diverse user base having varied levels of technical proficiencies.
- Ability to manage code bases with agility in a fast-paced, collaborative environment.
- Bachelor's degree in computer science, engineering, sciences, or related computational field required.
PREFERRED QUALIFICATIONS:
- Experience working in an academic research environment.
- Domain-specific research experience.
- Experience tuning and optimizing research software and algorithms.
- Parallel programming expertise.
- Experience developing research software outside of core domain knowledge.
- Experience working with cloud computing platforms (especially AWS).
- Experience with Docker and Node.js.
- Experience building, executing, and maintaining complex data analysis pipelines.
- Experience packaging and publishing data deliverables (e.g., in accordance with NASA’s Data Publication Process).
- A Masters/Ph.D. in computer science, applied science, or other related field with a strong computational focus or equivalent experience in a research setting preferred.
Please include a link to your public source code repository, if it is not provided in your resume.
Princeton University is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law.
The University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's qualifications, work experience, education/training, key skills, market, collective bargaining agreements as applicable, and organizational considerations when extending an offer. The posted salary range represents the University's good faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly.
If the salary range on the posted position shows an hourly rate, this is the baseline; the actual hourly rate may be higher, depending on the position and factors listed above.
The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information.
STANDARD WEEKLY HOURS: 36.25
ELIGIBLE FOR OVERTIME: No
BENEFITS ELIGIBLE: Yes
PROBATIONARY PERIOD: 180 days
ESSENTIAL SERVICES PERSONNEL (see policy for detail): No
PHYSICAL CAPACITY EXAM REQUIRED: No
VALID DRIVER’S LICENSE REQUIRED: No
EXPERIENCE LEVEL: Mid-Senior Level
SALARY RANGE: $146,000 to $160,000
Overview:
Do you have a background in computational research and love to write code? Do you want to help enable and advance groundbreaking research in space physics? If so, Princeton University's Research Computing department is recruiting a Research Software Engineer to join its RSE Group and the Space Physics Group in the Department of Astrophysical Sciences.
In the Space Physics Group, you will create software that supports the Interstellar Mapping and Acceleration Probe (IMAP) mission. The probe launched in 2025 to explore the details of particle acceleration and the Sun’s interaction with the local interstellar medium. The instruments on board collect and transmit data back to Earth, providing IMAP scientists with opportunities to make new discoveries about the global heliosphere.
In the RSE Group, we collectively provide computational research expertise to multiple divisions within the University. As a central team of software experts, we are focused on improving the quality, performance, and sustainability of Princeton’s computational research software. Our group is committed to building collaborative environments in which the best software engineering practices are valued, and to sharing and applying cross-disciplinary computational techniques in new and emerging areas.
In this position, you will be an integral member of the IMAP mission, focused on cutting-edge space physics research. You will join teams of researchers contributing to the development of efficient and scalable research code by providing computational expertise in software development, algorithm selection, and optimization. As a Senior RSE, you will also mentor and provide technical leadership to the Research Software Engineering team, as well as teach advanced computational techniques to raise the computational capability of the team. You may also have the opportunity to co-author scientific publications.
If you have a background in scientific programming, high performance computing, or academic research you have the right skill set to make an immediate impact on multiple high-profile research projects. You will be poised to grow and expand your programming and data analytics expertise into a dynamic new set of research problems. This position will require you to work closely with colleagues in the departments of Astrophysical Sciences and Research Computing, as well as with faculty, student/postdoctoral researchers, and technical staff to enable and accelerate their research computing efforts.
This role functions within a dynamic, supportive team environment that permits diverse backgrounds to thrive, including those wanting to make a career change and those with non-traditional career tracks, educational paths, or life experiences. If this environment sounds like a strong match or even an exciting challenge, we encourage you to apply and use your cover letter to explain why you would be a good fit for the role.
This is an 18-month benefits-eligible term position with a possibility of extension.
Responsibilities:
Application of Domain Expertise:
- Has a strong command of the research domain with proficient understanding of the underlying science, math, statistics, data analysis, and algorithms of computational research questions at a level sufficient to converse on projects with Princeton’s world-class researchers to consistently contribute to the ongoing work. This may consist of keeping abreast of advances in the domain, independent research (reading publications, etc.) and/or studying existing code bases.
- Working independently, initiate open collaboration with researchers. Regularly meet with, listen to, and ask questions of researchers to ensure that engineered solutions fit the research need. Understand and address software engineering questions that arise in research planning.
- Apply appropriate domain specific algorithms, techniques and code to advance software engineering in the research field.
Research Software Engineer:
- Working independently guided by high level objectives, to quickly translate research priorities into flexible software solutions that consistently contribute to ongoing research project(s).
- Independently use researcher-provided requirements and desired end state to build software solutions. To achieve this, RSEs are expected to figure out the problem through independent research, develop an appropriate solution, and provide full documentation for usage by the research team.
- Identify solutions for each project, establish a set of applicable best practices for individual or team use that is uniquely appropriate for that project (e.g version control, continuous integration and continuous delivery, software design, programming model, etc.), and enable long term maintainability and sustainability by documenting the projects in a descriptive and appropriately detailed manner.
- Independently provide technical expertise and guidance for improving the performance and quality of new and existing code bases through hands-on work with ongoing research.
- Responding to evolving research needs, apply broad research software engineering experience to develop novel, creative, and robust software solutions to solve challenging research problems quickly and efficiently. Port, debug, tune and potentially parallelize existing research code to meet criteria set by the research needs.
- Develop novel, creative and robust software tools that allow researchers to interact in flexible ways with extremely large data sets quickly and efficiently.
- Independently develops scope and project management plans, meets and sets milestone delivery timeline, and proactively communicates with the research team. Communicate complex software engineering concepts with project teams consisting of domain experts with a varying degree of software engineering knowledge.
- Raise the computational capability of graduate students and postdoctoral researchers through training and workshops, consultation, knowledge transfer, expertise, and best practices.
Professional Development:
- Maintaining technical skill set and expertise to include software development tools and techniques, software engineering best practices, programming languages, high-performance computing hardware, and computational research solutions. Focused on advancing depth of knowledge in key areas dictated by the research.
Technical Leadership:
- Show technical leadership through mentoring, instructing and educating less experienced Research Software Engineers in advanced computational techniques learned from developing novel research software engineering project solutions.
- In collaboration with RSE group leadership and other senior RSEs, contribute to the organization of professional development and team growth activities.
QUALIFICATIONS
- Strong programming skills, particularly in the languages used in scientific computing applications (specifically Python).
- 7+ years’ experience as a Research Software Engineer, this includes graduate level and postdoctoral work.
- Experience with Python libraries (especially NumPy) and the Python ecosystem of tools for managing environments and code testing, linting, dependency management and packaging (e.g., Poetry), etc.
- Demonstrated success:
- Consistently using conventional and readable coding style.
- Performing test-driven development.
- Creating comprehensive and well-written documentation.
- Participating in regular code reviews as both a reviewer and reviewee.
- Developing and maintaining reproducible build systems.
- Using version control systems.
- Using CI/CD pipelines.
- Demonstrated successes contributing to a collaborative research team.
- Ability to work independently.
- Ability to learn new programming languages and technologies beyond area of core knowledge.
- Ability to communicate effectively with a diverse user base having varied levels of technical proficiencies.
- Ability to manage code bases with agility in a fast-paced, collaborative environment.
- Bachelor's degree in computer science, engineering, sciences, or related computational field required.
PREFERRED QUALIFICATIONS:
- Experience working in an academic research environment.
- Domain-specific research experience.
- Experience tuning and optimizing research software and algorithms.
- Parallel programming expertise.
- Experience developing research software outside of core domain knowledge.
- Experience working with cloud computing platforms (especially AWS).
- Experience with Docker and Node.js.
- Experience building, executing, and maintaining complex data analysis pipelines.
- Experience packaging and publishing data deliverables (e.g., in accordance with NASA’s Data Publication Process).
- A Masters/Ph.D. in computer science, applied science, or other related field with a strong computational focus or equivalent experience in a research setting preferred.
Please include a link to your public source code repository, if it is not provided in your resume.
Princeton University is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law.
The University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's qualifications, work experience, education/training, key skills, market, collective bargaining agreements as applicable, and organizational considerations when extending an offer. The posted salary range represents the University's good faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly.
If the salary range on the posted position shows an hourly rate, this is the baseline; the actual hourly rate may be higher, depending on the position and factors listed above.
The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information.
STANDARD WEEKLY HOURS: 36.25
ELIGIBLE FOR OVERTIME: No
BENEFITS ELIGIBLE: Yes
PROBATIONARY PERIOD: 180 days
ESSENTIAL SERVICES PERSONNEL (see policy for detail): No
PHYSICAL CAPACITY EXAM REQUIRED: No
VALID DRIVER’S LICENSE REQUIRED: No
EXPERIENCE LEVEL: Mid-Senior Level
SALARY RANGE: $146,000 to $160,000
Senior Researcher Job Roles in New Jersey
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Search Senior Researcher Jobs in New JerseySenior Researcher Jobs in New Jersey: Frequently Asked Questions
Which companies sponsor visas for senior researchers in New Jersey?
New Jersey's pharmaceutical industry is the primary source of senior researcher sponsorship. Companies like Johnson & Johnson, Merck, Bristol Myers Squibb, Sanofi, and Novartis have established track records of sponsoring H-1B visas for senior research roles in the state. Academic medical centers such as Rutgers Biomedical and Health Sciences and Princeton University also sponsor senior researchers, particularly in life sciences and computational fields.
Which visa types are most common for senior researcher roles in New Jersey?
The H-1B is the most common visa for senior researchers in New Jersey, given the role's requirement for a specialized degree in fields like chemistry, biology, or data science. Senior researchers with exceptional peer-reviewed publications or significant industry recognition may qualify for the O-1A. Those pursuing permanent residency often transition through the EB-1B outstanding researcher or EB-2 NIW pathways, which are well-suited to research-intensive careers.
Which cities in New Jersey have the most senior researcher sponsorship jobs?
The highest concentration of senior researcher sponsorship jobs in New Jersey clusters in the central and northern regions of the state. Princeton and New Brunswick anchor the pharmaceutical research corridor, with Rahway notable for Merck's large research campus. Parsippany, Bridgewater, and Florham Park also host significant R&D operations. Proximity to New York City makes northern New Jersey cities like Jersey City and Newark attractive for research roles spanning finance and technology sectors.
How to find senior researcher visa sponsorship jobs in New Jersey?
Migrate Mate is built specifically for international job seekers and filters senior researcher roles in New Jersey by visa sponsorship availability, saving time compared to manually vetting postings. The platform surfaces positions from employers with active H-1B sponsorship histories in the state, which is particularly useful given how competitive New Jersey's pharmaceutical and biotech research market is. Filtering by location and role type on Migrate Mate helps narrow results to relevant opportunities quickly.
Are there any New Jersey-specific considerations for senior researcher visa sponsorship?
New Jersey's dense concentration of pharmaceutical employers means prevailing wage determinations for senior researcher roles are benchmarked against a highly specialized labor market, often placing them in higher wage levels. Employers filing Labor Condition Applications in New Jersey must meet Department of Labor wage standards specific to the state's research hubs. Additionally, many New Jersey research institutions have established international hiring pipelines through partnerships with universities like Rutgers, which can smooth the sponsorship process for candidates with academic backgrounds.
What is the prevailing wage for sponsored senior researcher jobs in New Jersey?
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.