Data Manager Visa Sponsorship Jobs in Connecticut
Connecticut's data manager job market is concentrated in Hartford's insurance and financial services sector, with major employers like Cigna, Aetna, and Travelers historically filing visa sponsorship petitions for data roles. Stamford's finance and biotech firms add further demand, making the state a viable target for international candidates with database, analytics, or data governance experience.
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Get Access To All JobsINTRODUCTION
Working at Yale means contributing to a better tomorrow. Whether you are a current resident of our New Haven-based community, eligible for opportunities through the New Haven Hiring Initiative, or a newcomer, interested in exploring all that Yale has to offer, your talents and contributions are welcome. Discover your opportunities at Yale!
Overview
The Higgins-Chen lab at Yale University invites applications for a lab manager with excellent computer programming and data management skills. The lab uses AI and machine learning approaches to identify omics-based biomarkers to estimate the biological age of individuals, then adapt the biomarkers for use in clinical trials of geroscience-based interventions to prevent or treat age-related diseases. The lab also studies the interaction between aging and mental health. Lab members primarily perform computational analysis, collaborating with clinicians, experimental biologists, epidemiologists, social scientists, and industry to train and validate biomarkers.
The lab manager’s top priority is to further develop and manage the lab’s code and multi-omic data repositories for lab research projects. The lab manager must have full-stack development and SQL database management skills. Code, data, and associated documents must be well-organized and documented, to ensure high quality and reproducibility of bioinformatic studies, provide easily accessible information to lab members writing papers and grants, and ensure the lab complies with regulatory, data privacy, and data sharing requirements. We aim to scale the code and data to new contexts (e.g. multimodal data, multispecies data), and make it easily interoperable with LLMs and AI agents. The lab manager will also assist Dr. Higgins-Chen in identifying new datasets for biomarker studies, applying for data, obtaining data, managing data use agreements, and ensuring lab compliance with data use agreements.
Depending on interest and time, the lab manager can focus additional efforts on their own specific research project and/or collaborate with other lab members. The lab manager is highly encouraged to write research papers on software packages and databases they develop. The lab manager also receives authorship credit on publications using code or data that play a substantial role in developing or managing.
Required Skills and Abilities
-
Proficiency in at least three of the following: full-stack development, SQL database management, GitHub repository management, and developing R and Python.
-
Demonstrated experience implementing new systems for data and code management to ensure reproducible research in a laboratory setting.
Preferred Skills and Abilities
-
Prior experience working in a research lab, preferably with a significant computational component.
-
Experience with LLMs and AI agents and a variety of supervised and unsupervised machine learning techniques.
-
Experience with genomic analysis pipelines (e.g. for genome sequencing, methylation, proteomics, metabolomics assays). Experience with analyzing wearable device data.
-
Experience with High Performance Computing (HPC) clusters.
-
Skills helpful to other lab members in analyzing data or publishing papers (writing, editing, graphic design, etc.).
Principal Responsibilities
-
Evaluates and analyzes data using accepted statistical and biostatistical techniques.
-
Investigates, analyzes, and evaluates complex statistical and programming problems. Determines proper methodology, testing standards, and evaluation processes for research projects. Recommends and develops statistical approaches for use in analyses.
-
Prepares analysis plans and writes detailed specifications for analysis files, consistency checks, tables, and figures; communicates with clients regarding statistical analysis issues.
-
In collaboration with research investigators, contributes to the design of research studies, develops analytical plans, conducts statistical analysis and interpret the results.
-
Ensures the integrity of databases used in analyses through development of essential data cleaning and checks, and data back-ups.
-
Plans statistical programming activities and schedules to provide investigators with time frames for projects.
-
Recommends and develops statistical approaches by testing and prototyping.
-
Organizes and creates documents and tables related to datasets; communicates with data sources about data accuracy and data dictionary.
-
May perform other duties as assigned.
Required Education and Experience
Master’s Degree in Biostatistics, Statistics or relevant field. Two years of experience; or equivalent combination of education and experience.
Job Posting Date
05/19/2026
Job Category
Professional
Bargaining Unit
NON
Compensation Grade
Clinical & Research
Compensation Grade Profile
Biostatistician (23)
Salary Range
$65,000.00 - $101,000.00
Time Type
Full time
Duration Type
Staff
Work Model
Hybrid
Background Check Requirements
All candidates for employment will be subject to pre-employment background screening for this position, which may include motor vehicle, DOT certification, drug testing and credit checks based on the position description and job requirements. All offers are contingent upon the successful completion of the background check. For additional information on the background check requirements and process visit "Learn about background checks" under the Applicant Support Resources section of Careers on the It's Your Yale website.
Health Requirements
Certain positions have associated health requirements based on specific job responsibilities. These may include vaccinations, tests, or examinations, as required by law, regulation, or university policy.
Posting Disclaimer
Salary offers are determined by a candidate’s qualifications, experience, skills, and education in relation to the position requirements, along with the role’s grade profile and current internal and external market conditions.
The intent of this job description is to provide a representative summary of the essential functions that will be required of the position and should not be construed as a declaration of specific duties and responsibilities of the position. Employees will be assigned specific job-related duties through their hiring department.
The University is committed to basing judgments concerning the admission, education, and employment of individuals upon their qualifications and abilities and seeks to attract to its faculty, staff, and student body qualified persons from a broad range of backgrounds and perspectives. In accordance with this policy and as delineated by federal and Connecticut law, Yale does not discriminate in admissions, educational programs, or employment against any individual on account of that individual’s sex, sexual orientation, gender identity or expression, race, color, national or ethnic origin, religion, age, disability, status as a special disabled veteran, veteran of the Vietnam era or other covered veteran.
Inquiries concerning Yale's Policy Against Discrimination and Harassment may be referred to the Office of Institutional Equity and Accessibility (OIEA).
Note
Yale University is a tobacco-free campus.
INTRODUCTION
Working at Yale means contributing to a better tomorrow. Whether you are a current resident of our New Haven-based community, eligible for opportunities through the New Haven Hiring Initiative, or a newcomer, interested in exploring all that Yale has to offer, your talents and contributions are welcome. Discover your opportunities at Yale!
Overview
The Higgins-Chen lab at Yale University invites applications for a lab manager with excellent computer programming and data management skills. The lab uses AI and machine learning approaches to identify omics-based biomarkers to estimate the biological age of individuals, then adapt the biomarkers for use in clinical trials of geroscience-based interventions to prevent or treat age-related diseases. The lab also studies the interaction between aging and mental health. Lab members primarily perform computational analysis, collaborating with clinicians, experimental biologists, epidemiologists, social scientists, and industry to train and validate biomarkers.
The lab manager’s top priority is to further develop and manage the lab’s code and multi-omic data repositories for lab research projects. The lab manager must have full-stack development and SQL database management skills. Code, data, and associated documents must be well-organized and documented, to ensure high quality and reproducibility of bioinformatic studies, provide easily accessible information to lab members writing papers and grants, and ensure the lab complies with regulatory, data privacy, and data sharing requirements. We aim to scale the code and data to new contexts (e.g. multimodal data, multispecies data), and make it easily interoperable with LLMs and AI agents. The lab manager will also assist Dr. Higgins-Chen in identifying new datasets for biomarker studies, applying for data, obtaining data, managing data use agreements, and ensuring lab compliance with data use agreements.
Depending on interest and time, the lab manager can focus additional efforts on their own specific research project and/or collaborate with other lab members. The lab manager is highly encouraged to write research papers on software packages and databases they develop. The lab manager also receives authorship credit on publications using code or data that play a substantial role in developing or managing.
Required Skills and Abilities
-
Proficiency in at least three of the following: full-stack development, SQL database management, GitHub repository management, and developing R and Python.
-
Demonstrated experience implementing new systems for data and code management to ensure reproducible research in a laboratory setting.
Preferred Skills and Abilities
-
Prior experience working in a research lab, preferably with a significant computational component.
-
Experience with LLMs and AI agents and a variety of supervised and unsupervised machine learning techniques.
-
Experience with genomic analysis pipelines (e.g. for genome sequencing, methylation, proteomics, metabolomics assays). Experience with analyzing wearable device data.
-
Experience with High Performance Computing (HPC) clusters.
-
Skills helpful to other lab members in analyzing data or publishing papers (writing, editing, graphic design, etc.).
Principal Responsibilities
-
Evaluates and analyzes data using accepted statistical and biostatistical techniques.
-
Investigates, analyzes, and evaluates complex statistical and programming problems. Determines proper methodology, testing standards, and evaluation processes for research projects. Recommends and develops statistical approaches for use in analyses.
-
Prepares analysis plans and writes detailed specifications for analysis files, consistency checks, tables, and figures; communicates with clients regarding statistical analysis issues.
-
In collaboration with research investigators, contributes to the design of research studies, develops analytical plans, conducts statistical analysis and interpret the results.
-
Ensures the integrity of databases used in analyses through development of essential data cleaning and checks, and data back-ups.
-
Plans statistical programming activities and schedules to provide investigators with time frames for projects.
-
Recommends and develops statistical approaches by testing and prototyping.
-
Organizes and creates documents and tables related to datasets; communicates with data sources about data accuracy and data dictionary.
-
May perform other duties as assigned.
Required Education and Experience
Master’s Degree in Biostatistics, Statistics or relevant field. Two years of experience; or equivalent combination of education and experience.
Job Posting Date
05/19/2026
Job Category
Professional
Bargaining Unit
NON
Compensation Grade
Clinical & Research
Compensation Grade Profile
Biostatistician (23)
Salary Range
$65,000.00 - $101,000.00
Time Type
Full time
Duration Type
Staff
Work Model
Hybrid
Background Check Requirements
All candidates for employment will be subject to pre-employment background screening for this position, which may include motor vehicle, DOT certification, drug testing and credit checks based on the position description and job requirements. All offers are contingent upon the successful completion of the background check. For additional information on the background check requirements and process visit "Learn about background checks" under the Applicant Support Resources section of Careers on the It's Your Yale website.
Health Requirements
Certain positions have associated health requirements based on specific job responsibilities. These may include vaccinations, tests, or examinations, as required by law, regulation, or university policy.
Posting Disclaimer
Salary offers are determined by a candidate’s qualifications, experience, skills, and education in relation to the position requirements, along with the role’s grade profile and current internal and external market conditions.
The intent of this job description is to provide a representative summary of the essential functions that will be required of the position and should not be construed as a declaration of specific duties and responsibilities of the position. Employees will be assigned specific job-related duties through their hiring department.
The University is committed to basing judgments concerning the admission, education, and employment of individuals upon their qualifications and abilities and seeks to attract to its faculty, staff, and student body qualified persons from a broad range of backgrounds and perspectives. In accordance with this policy and as delineated by federal and Connecticut law, Yale does not discriminate in admissions, educational programs, or employment against any individual on account of that individual’s sex, sexual orientation, gender identity or expression, race, color, national or ethnic origin, religion, age, disability, status as a special disabled veteran, veteran of the Vietnam era or other covered veteran.
Inquiries concerning Yale's Policy Against Discrimination and Harassment may be referred to the Office of Institutional Equity and Accessibility (OIEA).
Note
Yale University is a tobacco-free campus.
Data Manager Job Roles in Connecticut
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Search Data Manager Jobs in ConnecticutData Manager Jobs in Connecticut: Frequently Asked Questions
Which companies in Connecticut sponsor visas for data managers?
Hartford-based insurers and financial services firms, including Cigna, Aetna, and Travelers, have sponsored H-1B visa petitions for data management roles. Stamford-area companies in hedge funds, asset management, and pharmaceutical research also appear in DOL disclosure data. UnitedHealth Group and several biotech firms operating in the New Haven corridor have similarly filed for data-focused positions requiring specialized database or analytics expertise.
What visa types are most common for data manager roles in Connecticut?
The H-1B is the most frequently used visa category for data manager positions in Connecticut, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, information systems, or a related field. Candidates already holding an L-1B intracompany transferee visa or an O-1 visa for extraordinary ability may also find pathways at Connecticut employers, particularly in finance and insurance.
How to find data manager visa sponsorship jobs in Connecticut?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can search data manager roles in Connecticut without sorting through employers who don't sponsor. The platform surfaces positions from Hartford's insurance sector, Stamford's finance firms, and New Haven's biotech and university-affiliated employers. Filtering by role and state on Migrate Mate saves significant time compared to broad job searches.
Which cities in Connecticut have the most data manager sponsorship jobs?
Hartford leads due to the concentration of major insurance carriers and financial institutions that rely heavily on data infrastructure teams. Stamford is a close second, driven by its density of hedge funds, media companies, and multinational corporate headquarters. New Haven also generates openings through Yale University, Yale New Haven Health, and a growing life sciences cluster, all of which sponsor international workers for data-focused roles.
Are there any state-specific considerations for data managers pursuing sponsorship in Connecticut?
Connecticut employers must meet DOL prevailing wage requirements for the specific metropolitan area where the role is based, which differ between Hartford, Stamford, and New Haven metro designations. Stamford wages often benchmark higher due to proximity to New York City labor markets. Yale and other universities represent cap-exempt H-1B options, meaning candidates sponsored by those institutions can file year-round outside the annual lottery.
What is the prevailing wage for sponsored data manager jobs in Connecticut?
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.