Staff Research Scientist Visa Sponsorship Jobs in New Jersey
Staff research scientist visa sponsorship jobs in New Jersey are concentrated in pharma and biotech corridors spanning Kenilworth, Rahway, Parsippany, and Princeton. Merck, Johnson & Johnson, Novartis, and Bristol Myers Squibb maintain large R&D operations here, regularly sponsoring international scientists across drug discovery, genomics, and computational biology.
Find Staff Research Scientist JobsOverview
Showing 5 of 5+ Staff Research Scientist Jobs in New Jersey with Visa Sponsorship
See all Staff Research Scientist Jobs in New Jersey with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Staff Research Scientist Jobs in New Jersey with Visa Sponsorship.
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 Research Scientist Job Roles in New Jersey
See all Staff Research Scientist Jobs in New Jersey
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Staff Research Scientist Jobs in New JerseyStaff Research Scientist Jobs in New Jersey: Frequently Asked Questions
Which companies sponsor visas for staff research scientists in New Jersey?
New Jersey's pharmaceutical and biotech industry drives most staff research scientist sponsorship activity. Merck in Rahway and Kenilworth, Johnson & Johnson in New Brunswick, Bristol Myers Squibb in Princeton, and Novartis in East Hanover have established track records of sponsoring H-1B visa and employment-based green card petitions for research scientists. Mid-size biotech firms in the Princeton corridor and medical device companies in Morris County also sponsor regularly.
Which visa types realistically fit staff research scientist roles in New Jersey?
Staff research scientist roles qualify as specialty occupations requiring at least a bachelor's degree in a directly related field such as biology, chemistry, or biochemistry, making H-1B the primary pathway. The EB-2 green card suits candidates with advanced degrees or exceptional ability, while EB-3 covers those with two or more years of research experience. F-1 OPT and STEM OPT provide initial authorization for recent graduates with STEM-designated degrees before employer-sponsored petitions are filed.
Which cities in New Jersey have the most staff research scientist sponsorship jobs?
Princeton and the surrounding Mercer County area host the highest concentration of sponsored research scientist roles, anchored by Bristol Myers Squibb and numerous biotech startups. Rahway and Kenilworth are dense with Merck's global R&D campuses. East Hanover houses Novartis research facilities. New Brunswick, home to Johnson & Johnson headquarters, is another consistent source. Parsippany and Morris Plains in Morris County also attract pharma R&D investment.
How to find staff research scientist visa sponsorship jobs in New Jersey?
Migrate Mate lists staff research scientist roles at New Jersey employers with verified sponsorship histories, searchable by city and research discipline. Filtering to pharma and biotech employers in the Princeton, Rahway, and East Hanover areas surfaces the highest concentration of active openings. Migrate Mate's employer data reflects actual LCA filing history, so the roles shown come from companies that have sponsored international research scientists before.
Are there state-specific factors that affect staff research scientist sponsorship in New Jersey?
New Jersey's dense pharma corridor creates a competitive market for international research scientists, with large employers experienced in managing H-1B filings and PERM labor certifications in-house. The state's proximity to major research universities like Rutgers and Princeton feeds a strong pipeline of sponsored postdoctoral researchers transitioning to industry roles. Candidates with doctoral degrees in life sciences or chemistry find New Jersey employers particularly well-equipped to handle EB-2 National Interest Waiver and PERM green card filings.
What is the prevailing wage for sponsored staff research 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.