Data Manager Jobs in Connecticut
Data Manager jobs in Connecticut are open across Hartford, New Haven, and Cheshire and other Connecticut metros, with employers like Travelers, CVS Health, and Sagesure Insurance Managers hiring at every experience level. Find a role that fits below and apply directly.
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Showing 5 of 17+ Data Manager jobs
Department: Psychiatry - Ribicoff Labs
Location: 60 Temple Street, New Haven, Connecticut
Job ID: 134940WD
Salary Range: $65,000.00 - $101,000.00
Description
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 interprets 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)
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.
Department: Psychiatry - Ribicoff Labs
Location: 60 Temple Street, New Haven, Connecticut
Job ID: 134940WD
Salary Range: $65,000.00 - $101,000.00
Description
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 interprets 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)
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.
See All 17 Data Manager Jobs in Connecticut
Find roles in Connecticut that match your experience and apply in just a few clicks.
Find Data Manager JobsData Manager Jobs by City in Connecticut
Where Connecticut roles are concentrated, by current openings.
Data Manager Job Market in Connecticut
A snapshot from current Connecticut openings, updated as new roles post.
Who's Hiring
- Travelers4
- CVS Health2
- Sagesure Insurance Managers2
- WorldQuant2
- Yale University2
Top Industries Hiring
- Insurance4
- Consulting & Professional Services3
- Healthcare & Medical Services3
- Investment & Asset Management3
- Education2
What Connecticut Employers Look For
The qualifications that appear most often in data manager jobs across Connecticut.
- Bachelor's degree in information management, computer science, or a related field
- Proficiency in SQL and at least one major database platform such as Oracle, SQL Server, or PostgreSQL
- Experience designing and enforcing data governance policies and data quality standards
- Familiarity with ETL tools and data pipeline management such as Informatica or Talend
- Strong understanding of data security, access controls, and regulatory compliance requirements
- Ability to translate business requirements into data architecture decisions for non-technical stakeholders
Data Manager Jobs in Connecticut: Frequently Asked Questions
How many data manager jobs are there in Connecticut?
There are 17+ data manager openings in Connecticut on Migrate Mate as of June 2026, with the most roles in Hartford, New Haven, and Cheshire. New positions post regularly as employers across Connecticut hire.
How much do data managers make in Connecticut?
Data managers in Connecticut earn a median of about $108,270 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $65,400 for the lowest 10% to over $157,350 for the top 10%. Pay rises with experience, specialty, and employer.
Which Connecticut cities have the most data manager jobs?
Hartford, New Haven, and Cheshire have the most data manager openings in Connecticut right now, with additional roles spread across smaller metros statewide.
Which companies hire data managers in Connecticut?
Employers hiring data managers in Connecticut include Travelers, CVS Health, and Sagesure Insurance Managers, based on current listings on Migrate Mate as of June 2026.
Are there remote data manager jobs in Connecticut?
Yes. About 12% of data manager openings tied to Connecticut are remote or hybrid as of June 2026. The rest are on-site roles based in Connecticut metros.
How do I apply for data manager jobs in Connecticut?
You can apply to data manager jobs in Connecticut directly on Migrate Mate. Search the listings above, find roles that match your experience and preferred Connecticut location, then apply to each one that fits.
See All 17 Data Manager Jobs in Connecticut
Find roles in Connecticut that match your experience and apply in just a few clicks.
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