Staff Scientist Visa Sponsorship Jobs in New Jersey
Staff scientist visa sponsorship jobs in New Jersey are concentrated in the state's dense pharmaceutical and biotechnology corridor, with major employers including Johnson & Johnson, Merck, Bristol Myers Squibb, and Pfizer operating large R&D campuses in cities like New Brunswick, Rahway, Princeton, and Kenilworth. Academic medical centers and independent research institutes add further hiring depth across the state.
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Get Access To All JobsAbout Dyania Health
Dyania Health is a venture-backed company founded in 2019 which has developed Synapsis AI, an end-to-end system that combines a medically post-trained LLM with a physician-driven algorithmic reasoning engine to understand and assess clinical characteristics in electronic medical records. Synapsis AI is designed for installation within the healthcare system's computing environment or on healthcare system private clouds to automate manual chart review of EMRs without removing any data from the healthcare system. Synapsis AI completes pre-screening on both unstructured and structured patient data, deploying medical logic with temporal sensitivity to dynamically match changing patient characteristics to complex clinical trial criteria within the exact window when a given EMR may qualify for study protocol criteria.
The Role
We are seeking a Staff or Senior Staff Research Scientist to lead the design, development, and implementation of advanced AI/ML and LLM-based models for clinical data understanding. This is a senior, hands-on research role. You will build and customize models, design architectures, and drive ML innovation from concept through production. This is not a data science or analytics role—we are looking for someone who deeply understands how models work internally and can independently solve complex, open-ended problems.
Leveling Is Based On Experience
- Staff Research Scientist: 7+ years of relevant experience
- Senior Staff Research Scientist: 10+ years, including technical leadership responsibilities
What We’re Looking For
- A senior researcher who builds models, not dashboards
- A hands-on technologist who understands model architecture, training, and optimization
- Someone who can define strategy, lead initiatives, and still write production-quality code
- A strong independent problem solver comfortable with ambiguity and research-driven development
- A technical leader who can mentor others while delivering individually
Key Responsibilities
Research, Development & Implementation:
- Design, build, train, and deploy AI/ML and LLM-based models
- Own the full model lifecycle: problem definition, research, prototyping, training, evaluation, and deployment
- Apply strong understanding of ML and AI fundamentals to real-world biomedical problems
- Develop and optimize models using Python and modern ML frameworks
- Research emerging techniques and propose innovative solutions aligned with product and business needs
Problem Solving & Strategy:
- Independently analyze complex, ambiguous problems and determine appropriate modeling approaches
- Evaluate and recommend technical solutions and system architectures
- Translate research concepts into scalable, production-ready systems
- Contribute to long-term ML and AI strategy and technical vision
Leadership:
- Lead cross-project research and development initiatives
- Provide technical mentorship and guidance to junior researchers and engineers
- Establish best practices for experimentation, model development, and deployment
- Influence technical roadmaps and architectural decisions
Requirements
Required Qualifications:
- 7+ years (Staff) or 10+ years (Senior Staff) of experience in AI/ML research or ML engineering
- Graduate degree in Computer Science, Engineering, or a related technical field
- Strong hands-on experience building, training, and deploying ML and AI models, including LLMs
- Deep understanding of model fundamentals and architecture design
- Proven ability to solve problems end-to-end, from research through implementation
- Advanced proficiency in Python for model development and training
- Experience customizing models rather than relying solely on pre-built solutions
- Ability to independently research, evaluate, and propose technical approaches
Preferred Qualifications:
- Publication record in top-tier AI, NLP, or ML conferences
- Experience working with EMR or other complex clinical datasets
- Experience with multi-modal AI systems
- Prior senior or lead-level technical experience
- Familiarity with regulatory considerations for clinical AI systems
- Experience contributing to long-term technical strategy or system architecture
- PhD is welcome but not required
Team Culture
- We lead with empathy for patients and our teammates
- We value small egos, self-awareness, and humility in our teammates
- We appreciate flexible and adaptive attitudes towards solving problems, as strategic priorities may shift
- We love diversity of thought, perspective, working style, skill set, knowledge, and interests amongst our team
- We value open dialogue and brainstorming across multidisciplinary teams
Dyania Health is an equal opportunity employer that is committed to workplace diversity and inclusion. We do not discriminate on the basis of race, gender, gender identity, color, religion, national origin, sexual orientation, or any other legally protected characteristic as outlined by federal, state, or local laws.
Benefits
- Competitive Salary
- Health Care Plan (Medical, Dental & Vision)
- Retirement Plan (401k, IRA)
- Generous Paid Time Off (Vacation, Sick & Public Holidays)
- Family Leave (Maternity, Paternity)
- Training & Professional Development Support
- Remote work
About Dyania Health
Dyania Health is a venture-backed company founded in 2019 which has developed Synapsis AI, an end-to-end system that combines a medically post-trained LLM with a physician-driven algorithmic reasoning engine to understand and assess clinical characteristics in electronic medical records. Synapsis AI is designed for installation within the healthcare system's computing environment or on healthcare system private clouds to automate manual chart review of EMRs without removing any data from the healthcare system. Synapsis AI completes pre-screening on both unstructured and structured patient data, deploying medical logic with temporal sensitivity to dynamically match changing patient characteristics to complex clinical trial criteria within the exact window when a given EMR may qualify for study protocol criteria.
The Role
We are seeking a Staff or Senior Staff Research Scientist to lead the design, development, and implementation of advanced AI/ML and LLM-based models for clinical data understanding. This is a senior, hands-on research role. You will build and customize models, design architectures, and drive ML innovation from concept through production. This is not a data science or analytics role—we are looking for someone who deeply understands how models work internally and can independently solve complex, open-ended problems.
Leveling Is Based On Experience
- Staff Research Scientist: 7+ years of relevant experience
- Senior Staff Research Scientist: 10+ years, including technical leadership responsibilities
What We’re Looking For
- A senior researcher who builds models, not dashboards
- A hands-on technologist who understands model architecture, training, and optimization
- Someone who can define strategy, lead initiatives, and still write production-quality code
- A strong independent problem solver comfortable with ambiguity and research-driven development
- A technical leader who can mentor others while delivering individually
Key Responsibilities
Research, Development & Implementation:
- Design, build, train, and deploy AI/ML and LLM-based models
- Own the full model lifecycle: problem definition, research, prototyping, training, evaluation, and deployment
- Apply strong understanding of ML and AI fundamentals to real-world biomedical problems
- Develop and optimize models using Python and modern ML frameworks
- Research emerging techniques and propose innovative solutions aligned with product and business needs
Problem Solving & Strategy:
- Independently analyze complex, ambiguous problems and determine appropriate modeling approaches
- Evaluate and recommend technical solutions and system architectures
- Translate research concepts into scalable, production-ready systems
- Contribute to long-term ML and AI strategy and technical vision
Leadership:
- Lead cross-project research and development initiatives
- Provide technical mentorship and guidance to junior researchers and engineers
- Establish best practices for experimentation, model development, and deployment
- Influence technical roadmaps and architectural decisions
Requirements
Required Qualifications:
- 7+ years (Staff) or 10+ years (Senior Staff) of experience in AI/ML research or ML engineering
- Graduate degree in Computer Science, Engineering, or a related technical field
- Strong hands-on experience building, training, and deploying ML and AI models, including LLMs
- Deep understanding of model fundamentals and architecture design
- Proven ability to solve problems end-to-end, from research through implementation
- Advanced proficiency in Python for model development and training
- Experience customizing models rather than relying solely on pre-built solutions
- Ability to independently research, evaluate, and propose technical approaches
Preferred Qualifications:
- Publication record in top-tier AI, NLP, or ML conferences
- Experience working with EMR or other complex clinical datasets
- Experience with multi-modal AI systems
- Prior senior or lead-level technical experience
- Familiarity with regulatory considerations for clinical AI systems
- Experience contributing to long-term technical strategy or system architecture
- PhD is welcome but not required
Team Culture
- We lead with empathy for patients and our teammates
- We value small egos, self-awareness, and humility in our teammates
- We appreciate flexible and adaptive attitudes towards solving problems, as strategic priorities may shift
- We love diversity of thought, perspective, working style, skill set, knowledge, and interests amongst our team
- We value open dialogue and brainstorming across multidisciplinary teams
Dyania Health is an equal opportunity employer that is committed to workplace diversity and inclusion. We do not discriminate on the basis of race, gender, gender identity, color, religion, national origin, sexual orientation, or any other legally protected characteristic as outlined by federal, state, or local laws.
Benefits
- Competitive Salary
- Health Care Plan (Medical, Dental & Vision)
- Retirement Plan (401k, IRA)
- Generous Paid Time Off (Vacation, Sick & Public Holidays)
- Family Leave (Maternity, Paternity)
- Training & Professional Development Support
- Remote work
Staff Scientist Job Roles in New Jersey
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Search Staff Scientist Jobs in New JerseyStaff Scientist Jobs in New Jersey: Frequently Asked Questions
Which companies sponsor visas for staff scientists in New Jersey?
New Jersey's pharmaceutical and biotech employers are among the most active H-1B visa sponsors for staff scientists nationally. Johnson & Johnson, Merck, Bristol Myers Squibb, Pfizer, and Novartis all maintain substantial R&D operations in the state and have documented histories of sponsoring specialty occupation petitions. Contract research organizations and independent research institutes in the Princeton and New Brunswick areas also sponsor regularly.
Which visa types realistically fit staff scientist roles in New Jersey?
Staff scientist roles typically require a bachelor's or advanced degree in a directly related scientific field, satisfying the specialty occupation requirement for the H-1B. Australian nationals may qualify under the E-3 visa, and Chilean and Singaporean nationals may qualify under the H-1B1 visa. F-1 students can work via OPT or, if their degree is STEM-designated, a 24-month STEM OPT extension. Longer-term, EB-2 or EB-3 employment-based green cards are common pathways at large pharmaceutical employers.
Which cities in New Jersey have the most staff scientist sponsorship jobs?
New Brunswick and Rahway anchor the state's pharmaceutical R&D corridor, hosting major Johnson & Johnson and Merck campuses respectively. Princeton draws biotech and research institute positions, while Kenilworth and Parsippany support additional large-employer R&D sites. The Route 1 corridor running between New Brunswick and Princeton is particularly dense with life sciences employers that sponsor staff scientist roles across biology, chemistry, and translational research functions.
How to find staff scientist visa sponsorship jobs in New Jersey?
Migrate Mate lists staff scientist positions at New Jersey employers with verified visa sponsorship histories, so you can search specifically within the state's pharmaceutical and biotech hubs rather than sorting through postings from employers with no sponsorship track record. Filtering by role and location on Migrate Mate surfaces active openings at companies in the New Brunswick, Princeton, and Rahway corridors that have filed sponsorship petitions for scientific roles.
Are there any state-specific factors that affect staff scientist sponsorship in New Jersey?
New Jersey's concentration of global pharmaceutical headquarters creates unusually strong demand for sponsored staff scientists, particularly in drug discovery, analytical chemistry, and translational biology. Many employers operate large internal mobility programs that can facilitate H-1B transfers for scientists already in status. Proximity to major research universities including Rutgers and Princeton also generates a steady pipeline of F-1 candidates pursuing OPT and STEM OPT placements with New Jersey employers before transitioning to H-1B sponsorship.
What is the prevailing wage for sponsored staff scientist 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.