Mid Level Data Researcher Jobs
Mid level data researcher jobs go to professionals ready to own research projects end to end, synthesize complex datasets into decisions, and guide junior teammates without close supervision. Roles are spread across on-site, hybrid, and remote settings in Education, Technology & Software, and Investment & Asset Management, with 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 Data Researcher Jobs: Frequently Asked Questions
How do I get a mid level data researcher job?
Position your existing work around ownership and impact, not just task completion. Highlight projects where you defined the research approach, cleaned and interpreted data independently, and delivered findings that influenced a business decision. Applications that show scope of responsibility, proficiency with tools like SQL or Python, and clear communication of insights to non-technical audiences consistently stand out for mid level roles.
Which companies hire mid level data researchers?
Companies hiring mid level data researchers 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 a mix of large enterprises with established data teams, mid-size technology firms scaling their analytics functions, and research-intensive organizations in healthcare, finance, and consumer industries.
Are there remote mid level data researcher jobs?
Yes, remote and hybrid options are widely available at this level. About 25% of mid level data researcher openings are remote or hybrid as of November 2026, reflecting the nature of data work that travels well across distributed teams. On-site roles do exist, particularly in regulated industries or labs where data access requires physical presence.
How do I move up to a mid level data researcher role?
Moving into a mid level data researcher role comes from consistently taking on more complex work, not just logging time. Build toward independently scoping research questions, owning a dataset or methodology from collection through reporting, and demonstrating measurable impact in your findings. Deepening fluency in a core tool set and establishing a record of delivering reliable, stakeholder-ready analysis are the clearest signals that you are ready for the next level.
Which industries hire the most mid level data researchers?
Mid Level data researcher 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 their business decisions depend heavily on structured research, competitive analysis, and the ability to turn large volumes of data into actionable guidance.