Mid Level Research Data Manager Jobs
Mid level research data manager jobs go to professionals ready to own end-to-end data workflows, guide junior staff, and make consequential decisions with minimal oversight. Roles are spread across Education, Technology & Software, and Investment & Asset Management, with a mix of on-site, remote, and hybrid settings, and employers like University of California - San Francisco, Google, and RoboForce hiring at this level now.
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Stanford University is seeking a Research Data Analyst 2 to manage and analyze large amounts of information, typically technical or scientific in nature, independently with minimal supervision in the Department of Biomedical Data Science.
Core Duties :
Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness.
Determine additional data collection and reporting requirements.
Design and customize reports based upon data in the database. Oversee and monitor regulatory compliance for utilization of the data.
Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others.
Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation.
Serve as a resource for non-routine inquiries such as requests for statistics or surveys.
Test prototype software and participate in approval and release process for new software.
Provide documentation based on audit and reporting criteria to investigators and research staff.
Minimum Education :
Bachelor's degree and three years of relevant experience or combination of education and relevant experience.
Minimum Experience :
Experience in a quantitative discipline such as economics, finance, statistics or engineering.
Knowledge, Skills and Abilities :
Substantial experience with MS Office and analytical programs.
Excellent writing and analytical skills.
Ability to prioritize workload.
Stanford University is seeking a Research Data Analyst 2 to manage and analyze large amounts of information, typically technical or scientific in nature, independently with minimal supervision in the Department of Biomedical Data Science.
Core Duties :
Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness.
Determine additional data collection and reporting requirements.
Design and customize reports based upon data in the database. Oversee and monitor regulatory compliance for utilization of the data.
Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others.
Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation.
Serve as a resource for non-routine inquiries such as requests for statistics or surveys.
Test prototype software and participate in approval and release process for new software.
Provide documentation based on audit and reporting criteria to investigators and research staff.
Minimum Education :
Bachelor's degree and three years of relevant experience or combination of education and relevant experience.
Minimum Experience :
Experience in a quantitative discipline such as economics, finance, statistics or engineering.
Knowledge, Skills and Abilities :
Substantial experience with MS Office and analytical programs.
Excellent writing and analytical skills.
Ability to prioritize workload.
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Mid Level Research Data Manager Jobs: Frequently Asked Questions
How do I get a mid level research data manager job?
Position yourself by highlighting ownership, not just participation. Applications that land mid level roles emphasize projects you led from design to delivery, data quality problems you identified and resolved independently, and any cross-functional collaboration you drove. Tailor your resume to show scope and accountability rather than task completion, and make your methodology choices visible in cover materials.
Which companies hire mid level research data managers?
Companies hiring mid level research data managers right now include University of California - San Francisco, Google, and RoboForce, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from academic medical centers, life sciences companies, government research agencies, and technology firms that run large-scale data collection programs.
Are there remote mid level research data manager jobs?
Yes, though availability varies by sector. About 25% of mid level research data manager openings are remote or hybrid as of November 2026, with fully on-site roles most common in clinical, laboratory, and federally funded research settings where data handling or compliance requirements drive in-person expectations.
How do I move up to a mid level research data manager role?
Moving from entry level to mid level takes deliberate expansion of scope over your first few years. Build depth in a core methodology or domain, take ownership of a complete dataset or study component rather than supporting someone else's, and document measurable outcomes like improved data accuracy rates or faster reporting cycles. Peer mentorship and presenting findings to stakeholders also signal readiness for mid level responsibility.
Which industries hire the most mid level research data managers?
Mid Level research data manager roles concentrate in Education, Technology & Software, and Investment & Asset Management, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they run ongoing, large-scale studies that require experienced professionals who can maintain data integrity standards and manage complex pipelines without close supervision.