Data Science Analyst Visa Sponsorship Jobs in New Jersey
New Jersey's data science analyst job market draws on major pharma and finance employers, including Johnson & Johnson, Merck, and Prudential Financial, with hiring concentrated in Newark, Jersey City, and the Princeton corridor. International candidates seeking visa sponsorship will find active H-1B visa filings from both established corporations and mid-sized tech firms across the state.
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Recruitment/Posting Title Open Rank Associate Professor/Professor in Data Science
Department Brain Health Institute
Salary Details A range of $150,000 to $250,000
Offer Information
The final salary offer may be determined by several factors, including, but not limited to, the candidate’s qualifications, experience, and expertise, and availability of department or grant funds to support the position. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university’s broader compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top talent.
Benefits
Rutgers provides a comprehensive benefits package to eligible employees. The specific benefits vary based on the position and may include:
- Medical, prescription drug, and dental coverage
- Paid vacation, holidays, and various leave programs
- Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred savings options
- Employee and dependent educational benefits (when applicable)
- Life insurance coverage
- Employee discount programs
Posting Summary
The Herbert and Jacqueline Krieger Klein Alzheimer’s Research Center at the Brain Health Institute (BHI), is seeking data scientists for a tenure-track faculty position at the Associate or Full Professor level at Robert Wood Johnson Medical School (RWJMS) and BHI within Rutgers Biomedical & Health Sciences (RBHS). We seek a faculty member who is experienced in using advanced statistical and machine learning techniques to analyze datasets related to aging, Alzheimer’s disease or related dementias. The successful candidate will work as part of a multi-disciplinary team including neurologists, neuropsychologists, and neuropathologists. The Alzheimer’s Research Center will develop a research cohort of individuals at high risk for dementia. This cohort will be extensively phenotyped for clinical, cognitive, genetic, neuroimaging, behavioral, digital and blood biomarker measures. In addition to scientific leadership, responsibilities will also include mentorship of young investigators. Applicants must have experience with large-scale longitudinal studies, and an interest in studying the earliest stages of Alzheimer’s disease. The faculty member will play a critical role in advancing our institution’s research and expertise in the field of Alzheimer’s disease, dementia, and related neurodegenerative disorders, and will be responsible for conducting data-driven research, analyzing complex datasets, and contributing to our institution’s mission of understanding, preventing, and treating these disorders. Qualifying tenure-stream applicants must have an established scholarly record demonstrating ability to develop and lead a program of independent, NIH funded research. Candidates are expected to have an established federal grant portfolio that can be transferred to Rutgers. Successful applicant(s) will serve as a core member(s) within the new Herbert and Jacqueline Krieger Klein Alzheimer’s Center at BHI, with a primary appointment in the Department of Neurology at RWJMS. The Herbert and Jacqueline Krieger Klein Alzheimer’s Center is a new center within BHI at Rutgers University with the mission of establishing an interdisciplinary, integrated program to provide comprehensive research focused on prevention and treatment of Alzheimer’s disease and related dementias. This center is the first of its kind in New Jersey, and the successful applicant will be integral to its development. Ideal candidates will bring vision and experience in modern aging and memory research and enthusiasm for collaborative team science.
Position Status Full Time
Posting Number 24FA0246
Posting Open Date
Posting Close Date 06/30/2027
Qualifications
Minimum Education and Experience
Ph.D., MD, MD/PhD, or equivalent terminal degree in Data Science, Bioinformatics, Neuroscience, or a related field.
A research program with currently active federal funding. Preference will be given to NIH-funded investigators at the Associate Professor level or above; however, superb young investigators with NIH funding and a high potential for scientific independence and success will also be considered. Physician-scientists are highly encouraged to apply, but clinical credentials are not a requirement for the position.
Strong expertise in data analysis and machine learning and experience in the analysis of diverse data types (clinical, genetic, imaging, digital, blood biomarker).
Cultural and language competency and/or experience working with one or more of the underserved communities is desirable.
Required Knowledge, Skills, and Abilities
ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned:
- Serve as a key leader in developing all data-related aspects of a well phenotyped dementia risk cohort.
- Provide leadership in ensuring robust data analysis protocols.
- Lead a program of federally funded, data-driven research in Alzheimer’s disease and related dementias that will contribute to the development of, and leveraging of the research cohort, in order to better understand the mechanisms and risk factors associated with Alzheimer’s disease.
- Lead and collaborate on manuscripts using cohort data.
- Oversee the collection, curation, and management of clinical, genetic, imaging, digital and biomarker data.
- Develop predictive models and algorithms to identify risk factors, disease markers, and potential therapeutic targets for Alzheimer’s disease.
- Implement machine learning models to improve prediction, diagnostic accuracy and monitoring of disease progression.
- Lead and contribute to grant proposals that support future funding of cohort data collection and address research questions of high scientific and public health importance in Alzheimer’s disease and related dementias.
- Successfully compete for extramural funding.
- Participate in mentoring, training, and professional development of staff, post-doctoral fellows, junior physicians, students, and others collaborating on the cohort study.
Job Requirements:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
- Experience in utilizing advanced statistical and machine learning techniques and interpreting findings to identify new Alzheimer’s Disease and related dementias (ADRD) research directions.
- Ability to develop and lead a program of independent federally funded research including a record of leadership of, or contributions to, major successful peer-reviewed grant proposals appropriate to the applicant’s academic rank.
- Candidate must possess good understanding of informatics infrastructures to support highly innovative research within high performance computing (HPC), cloud computing, and secure computing environments.
- Experience in cross platform and user friendly applications development to support high volume heterogeneous data processing, structures, integration, analysis, management, and sharing.
- Knowledge in learning healthcare systems and expertise in clinical data extraction, transfer, loading, and de-identification.
- Academic credentials that qualify for appointment as an Associate Professor or Professor at Rutgers University including a record of successful extramural funding and peer-reviewed publications addressing Alzheimer’s disease and related disorders. Superb young investigators with NIH funding and a high potential for scientific independence and success will be considered.
- Record of successful multi-disciplinary collaboration and mentorship of students and early-stage investigators.
- Strong interest and enthusiasm in helping achieve successful implementation of the new cohort and contributing to cutting-edge science.
- Excellent written and oral communication skills and the ability to communicate research findings and concepts to both academic and non-academic audiences.
Preferred Qualifications
Equipment Utilized
Physical Demands and Work Environment
PHYSICAL DEMANDS: No significant physical demands.
WORK ENVIRONMENT:
No significant exposures or noise levels. Office /Laboratory/Clinical environment.
Overview
Statement
It is university policy to provide equal employment opportunity to all its employees and applicants for employment regardless of their race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other category protected by law. As an institution, we encourage all qualified applicants to apply. For additional information please see the Non-Discrimination Statement at the following web address: http://uhr.rutgers.edu/non-discrimination-statement
Posting Details
Special Instructions to Applicants
To become a part of our vibrant research community, applicants should submit a CV and brief statement of research accomplishments and plans and other information to Dr. Michal Beeri at bhi@bhi.rutgers.edu
Campus Rutgers Biomedical and Health Sciences (RBHS)
Home Location Campus Piscataway (RBHS)
City Piscataway
State NJ
Location Details
Pre-employment Screenings
All offers of employment are contingent upon successful completion of all pre-employment screenings.
Immunization Requirements
Under Policy 100.3.1 Immunization Policy for Covered Individuals, if employment will commence during Flu Season, Rutgers University may require certain prospective employees to provide proof that they are vaccinated against Seasonal Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption. Additional infection control and safety policies may apply. Prospective employees should speak with their hiring manager to determine which policies apply to the role or position for which they are applying. Failure to provide proof of vaccination for any required vaccines or obtain a medical or religious exemption from the University will result in rescission of a candidate’s offer of employment or disciplinary action up to and including termination.
Equal Employment Opportunity Statement
It is university policy to provide equal employment opportunity to all its employees and applicants for employment regardless of their race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other category protected by law. As an institution, we encourage all qualified applicants to apply. For additional information please see the Non-Discrimination Statement at the following web address: http://uhr.rutgers.edu/non-discrimination-statement
Posting Specific Questions
Required fields are indicated with an asterisk (*).
Applicant Documents
Required Documents
- Cover Letter/Letter of Application
- Curriculum Vitae
- List of Professional References (contact Info)
- Research Statement
Optional Documents
- Diversity Statement
Position Details
Recruitment/Posting Title Open Rank Associate Professor/Professor in Data Science
Department Brain Health Institute
Salary Details A range of $150,000 to $250,000
Offer Information
The final salary offer may be determined by several factors, including, but not limited to, the candidate’s qualifications, experience, and expertise, and availability of department or grant funds to support the position. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university’s broader compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top talent.
Benefits
Rutgers provides a comprehensive benefits package to eligible employees. The specific benefits vary based on the position and may include:
- Medical, prescription drug, and dental coverage
- Paid vacation, holidays, and various leave programs
- Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred savings options
- Employee and dependent educational benefits (when applicable)
- Life insurance coverage
- Employee discount programs
Posting Summary
The Herbert and Jacqueline Krieger Klein Alzheimer’s Research Center at the Brain Health Institute (BHI), is seeking data scientists for a tenure-track faculty position at the Associate or Full Professor level at Robert Wood Johnson Medical School (RWJMS) and BHI within Rutgers Biomedical & Health Sciences (RBHS). We seek a faculty member who is experienced in using advanced statistical and machine learning techniques to analyze datasets related to aging, Alzheimer’s disease or related dementias. The successful candidate will work as part of a multi-disciplinary team including neurologists, neuropsychologists, and neuropathologists. The Alzheimer’s Research Center will develop a research cohort of individuals at high risk for dementia. This cohort will be extensively phenotyped for clinical, cognitive, genetic, neuroimaging, behavioral, digital and blood biomarker measures. In addition to scientific leadership, responsibilities will also include mentorship of young investigators. Applicants must have experience with large-scale longitudinal studies, and an interest in studying the earliest stages of Alzheimer’s disease. The faculty member will play a critical role in advancing our institution’s research and expertise in the field of Alzheimer’s disease, dementia, and related neurodegenerative disorders, and will be responsible for conducting data-driven research, analyzing complex datasets, and contributing to our institution’s mission of understanding, preventing, and treating these disorders. Qualifying tenure-stream applicants must have an established scholarly record demonstrating ability to develop and lead a program of independent, NIH funded research. Candidates are expected to have an established federal grant portfolio that can be transferred to Rutgers. Successful applicant(s) will serve as a core member(s) within the new Herbert and Jacqueline Krieger Klein Alzheimer’s Center at BHI, with a primary appointment in the Department of Neurology at RWJMS. The Herbert and Jacqueline Krieger Klein Alzheimer’s Center is a new center within BHI at Rutgers University with the mission of establishing an interdisciplinary, integrated program to provide comprehensive research focused on prevention and treatment of Alzheimer’s disease and related dementias. This center is the first of its kind in New Jersey, and the successful applicant will be integral to its development. Ideal candidates will bring vision and experience in modern aging and memory research and enthusiasm for collaborative team science.
Position Status Full Time
Posting Number 24FA0246
Posting Open Date
Posting Close Date 06/30/2027
Qualifications
Minimum Education and Experience
Ph.D., MD, MD/PhD, or equivalent terminal degree in Data Science, Bioinformatics, Neuroscience, or a related field.
A research program with currently active federal funding. Preference will be given to NIH-funded investigators at the Associate Professor level or above; however, superb young investigators with NIH funding and a high potential for scientific independence and success will also be considered. Physician-scientists are highly encouraged to apply, but clinical credentials are not a requirement for the position.
Strong expertise in data analysis and machine learning and experience in the analysis of diverse data types (clinical, genetic, imaging, digital, blood biomarker).
Cultural and language competency and/or experience working with one or more of the underserved communities is desirable.
Required Knowledge, Skills, and Abilities
ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned:
- Serve as a key leader in developing all data-related aspects of a well phenotyped dementia risk cohort.
- Provide leadership in ensuring robust data analysis protocols.
- Lead a program of federally funded, data-driven research in Alzheimer’s disease and related dementias that will contribute to the development of, and leveraging of the research cohort, in order to better understand the mechanisms and risk factors associated with Alzheimer’s disease.
- Lead and collaborate on manuscripts using cohort data.
- Oversee the collection, curation, and management of clinical, genetic, imaging, digital and biomarker data.
- Develop predictive models and algorithms to identify risk factors, disease markers, and potential therapeutic targets for Alzheimer’s disease.
- Implement machine learning models to improve prediction, diagnostic accuracy and monitoring of disease progression.
- Lead and contribute to grant proposals that support future funding of cohort data collection and address research questions of high scientific and public health importance in Alzheimer’s disease and related dementias.
- Successfully compete for extramural funding.
- Participate in mentoring, training, and professional development of staff, post-doctoral fellows, junior physicians, students, and others collaborating on the cohort study.
Job Requirements:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
- Experience in utilizing advanced statistical and machine learning techniques and interpreting findings to identify new Alzheimer’s Disease and related dementias (ADRD) research directions.
- Ability to develop and lead a program of independent federally funded research including a record of leadership of, or contributions to, major successful peer-reviewed grant proposals appropriate to the applicant’s academic rank.
- Candidate must possess good understanding of informatics infrastructures to support highly innovative research within high performance computing (HPC), cloud computing, and secure computing environments.
- Experience in cross platform and user friendly applications development to support high volume heterogeneous data processing, structures, integration, analysis, management, and sharing.
- Knowledge in learning healthcare systems and expertise in clinical data extraction, transfer, loading, and de-identification.
- Academic credentials that qualify for appointment as an Associate Professor or Professor at Rutgers University including a record of successful extramural funding and peer-reviewed publications addressing Alzheimer’s disease and related disorders. Superb young investigators with NIH funding and a high potential for scientific independence and success will be considered.
- Record of successful multi-disciplinary collaboration and mentorship of students and early-stage investigators.
- Strong interest and enthusiasm in helping achieve successful implementation of the new cohort and contributing to cutting-edge science.
- Excellent written and oral communication skills and the ability to communicate research findings and concepts to both academic and non-academic audiences.
Preferred Qualifications
Equipment Utilized
Physical Demands and Work Environment
PHYSICAL DEMANDS: No significant physical demands.
WORK ENVIRONMENT:
No significant exposures or noise levels. Office /Laboratory/Clinical environment.
Overview
Statement
It is university policy to provide equal employment opportunity to all its employees and applicants for employment regardless of their race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other category protected by law. As an institution, we encourage all qualified applicants to apply. For additional information please see the Non-Discrimination Statement at the following web address: http://uhr.rutgers.edu/non-discrimination-statement
Posting Details
Special Instructions to Applicants
To become a part of our vibrant research community, applicants should submit a CV and brief statement of research accomplishments and plans and other information to Dr. Michal Beeri at bhi@bhi.rutgers.edu
Campus Rutgers Biomedical and Health Sciences (RBHS)
Home Location Campus Piscataway (RBHS)
City Piscataway
State NJ
Location Details
Pre-employment Screenings
All offers of employment are contingent upon successful completion of all pre-employment screenings.
Immunization Requirements
Under Policy 100.3.1 Immunization Policy for Covered Individuals, if employment will commence during Flu Season, Rutgers University may require certain prospective employees to provide proof that they are vaccinated against Seasonal Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption. Additional infection control and safety policies may apply. Prospective employees should speak with their hiring manager to determine which policies apply to the role or position for which they are applying. Failure to provide proof of vaccination for any required vaccines or obtain a medical or religious exemption from the University will result in rescission of a candidate’s offer of employment or disciplinary action up to and including termination.
Equal Employment Opportunity Statement
It is university policy to provide equal employment opportunity to all its employees and applicants for employment regardless of their race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other category protected by law. As an institution, we encourage all qualified applicants to apply. For additional information please see the Non-Discrimination Statement at the following web address: http://uhr.rutgers.edu/non-discrimination-statement
Posting Specific Questions
Required fields are indicated with an asterisk (*).
Applicant Documents
Required Documents
- Cover Letter/Letter of Application
- Curriculum Vitae
- List of Professional References (contact Info)
- Research Statement
Optional Documents
- Diversity Statement
Data Science Analyst Job Roles in New Jersey
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Search Data Science Analyst Jobs in New JerseyData Science Analyst Jobs in New Jersey: Frequently Asked Questions
Which companies sponsor visas for data science analysts in New Jersey?
Johnson & Johnson, Merck, Prudential Financial, Cognizant, and Conduent are among the New Jersey employers with consistent H-1B filing histories for data and analytics roles. Large pharmaceutical companies along the Route 1 corridor and financial services firms in Jersey City have been particularly active sponsors, reflecting the state's concentration of regulated industries that rely on quantitative analysis.
Which visa types are most common for data science analyst roles in New Jersey?
The H-1B is the most common visa category for data science analyst positions in New Jersey, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in statistics, computer science, mathematics, or a related field. Candidates already in the U.S. on OPT or STEM OPT extensions are also frequently sponsored by New Jersey employers during that period before transitioning to H-1B status.
Which cities in New Jersey have the most data science analyst sponsorship jobs?
Jersey City and Newark lead in data science analyst sponsorship activity, driven by proximity to New York City's financial sector and a dense cluster of corporate headquarters. The Princeton-to-New Brunswick corridor is a secondary hub, anchored by pharmaceutical companies and university research spinoffs. Parsippany and Bridgewater also generate meaningful volume from insurance and life sciences employers based in those areas.
How to find data science analyst visa sponsorship jobs in New Jersey?
Migrate Mate is built specifically for international candidates and filters data science analyst roles in New Jersey by visa sponsorship availability, saving you the time of sorting through positions that won't support work authorization. You can browse active listings, see which employers have H-1B filing histories, and focus your applications on companies that have demonstrated willingness to sponsor in this role category.
Are there state-specific factors that affect data science analyst sponsorship in New Jersey?
New Jersey's employer base in pharma, finance, and insurance creates consistent demand for data science analysts, and many of these firms have established immigration counsel and documented H-1B filing programs. Rutgers University and NJIT produce a steady pipeline of international graduates who enter the local job market on OPT, which means employers in the state are generally familiar with work authorization processes for this role type.
What is the prevailing wage for sponsored data science analyst 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.