Remote Research Data Manager Jobs
Remote Research Data Manager jobs are in strong demand across the U.S., with remote-first firms and distributed research teams actively hiring for roles that manage, clean, and govern complex research datasets. Employers hiring remotely right now include Prime Intellect, HUD, and Axle, across sectors including academic research, healthcare, biotech, and tech. See the openings below and apply to the ones that match your experience.
Find JobsOverview
Showing 5 of 26+ Remote Research Data Manager jobs
Important information before applying:
Work Authorization: To respect your time, we cannot provide employment visa sponsorship for this position now or in the future. Before applying, please confirm that you are authorized to work in the United States without current or future employer sponsorship.
Major Responsibilities:
Query, clean, and analyze large datasets using SQL, Python, and Snowflake. Sources may include Lightcast data, government and third-party data, and client datasets.
Build and maintain data pipelines and create indices or composite measures for custom analyses.
Apply statistical and quantitative methods, such as benchmarking, correlation, and trend analysis, to answer client questions.
Adapt proven methods into repeatable workflows, trial new research approaches, and apply core labor market economics concepts.
Develop client-ready materials in Excel, PowerPoint, and Word, as well as visualizations and dashboards in Tableau or similar tools.
Present research to clients and internal teams, and communicate findings in ways that reflect what the data can support.
Use LLM tools to assist with coding, debugging, documentation, data tasks, dashboards, and draft deliverables; review and refine outputs for accuracy and quality.
Keep current with AI tools relevant to labor market research and share useful approaches with the team.
Education and Experience:
2–4 years of experience in quantitative research, data analysis, or data science.
Bachelor’s or master’s degree in Economics, Public Policy, Data Science, Statistics, or another quantitatively focused field.
Experience working with APIs to access, integrate, and analyze data.
Lightcast is a global leader in labor market insights with our headquarters located in Moscow, ID (US) and other offices in the United Kingdom, Europe, and India. We work with partners across six continents to help drive economic prosperity and mobility by providing the insights needed to build and develop our people, our institutions and companies, and our communities.
Lightcast is proud to be an equal opportunity workplace and does not discriminate on the basis of federally protected statuses. Lightcast has always been, and always will be, committed to diversity of thought and unique perspectives. We seek dynamic professionals from all backgrounds to join our teams, and we encourage our employees to bring their authentic, original, and best selves to work.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Important information before applying:
Work Authorization: To respect your time, we cannot provide employment visa sponsorship for this position now or in the future. Before applying, please confirm that you are authorized to work in the United States without current or future employer sponsorship.
Major Responsibilities:
Query, clean, and analyze large datasets using SQL, Python, and Snowflake. Sources may include Lightcast data, government and third-party data, and client datasets.
Build and maintain data pipelines and create indices or composite measures for custom analyses.
Apply statistical and quantitative methods, such as benchmarking, correlation, and trend analysis, to answer client questions.
Adapt proven methods into repeatable workflows, trial new research approaches, and apply core labor market economics concepts.
Develop client-ready materials in Excel, PowerPoint, and Word, as well as visualizations and dashboards in Tableau or similar tools.
Present research to clients and internal teams, and communicate findings in ways that reflect what the data can support.
Use LLM tools to assist with coding, debugging, documentation, data tasks, dashboards, and draft deliverables; review and refine outputs for accuracy and quality.
Keep current with AI tools relevant to labor market research and share useful approaches with the team.
Education and Experience:
2–4 years of experience in quantitative research, data analysis, or data science.
Bachelor’s or master’s degree in Economics, Public Policy, Data Science, Statistics, or another quantitatively focused field.
Experience working with APIs to access, integrate, and analyze data.
Lightcast is a global leader in labor market insights with our headquarters located in Moscow, ID (US) and other offices in the United Kingdom, Europe, and India. We work with partners across six continents to help drive economic prosperity and mobility by providing the insights needed to build and develop our people, our institutions and companies, and our communities.
Lightcast is proud to be an equal opportunity workplace and does not discriminate on the basis of federally protected statuses. Lightcast has always been, and always will be, committed to diversity of thought and unique perspectives. We seek dynamic professionals from all backgrounds to join our teams, and we encourage our employees to bring their authentic, original, and best selves to work.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
See All 26 Remote Research Data Manager Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsRemote Research Data Manager Job Market
Who's Hiring
Top Industries Hiring
- Science & Research
What Employers Look For
The qualifications that appear most often in remote research data manager jobs.
- Bachelor's or master's degree in a health, life science, or information management field
- Hands-on experience building and managing clinical or research databases in REDCap or similar platforms
- Familiarity with data quality assurance processes and standard operating procedure development
- Knowledge of regulatory and compliance frameworks such as GCP, HIPAA, or 21 CFR Part 11
- Proficiency in statistical software such as SAS, R, or SPSS for data validation and reporting
- Experience coordinating with principal investigators, IRBs, and cross-functional research teams
Tips for Your Remote Research Data Manager Job Search
Apply early to remote roles that fit
Migrate Mate lists remote research data manager openings from across the U.S. in one place, so you can find roles that match your skills and apply directly. Remote postings often fill faster than in-office ones, so moving quickly matters.
Showcase async documentation skills upfront
Remote research teams depend on written handoffs, data dictionaries, and version-controlled codebooks. Add specific examples to your resume of documentation you created, like a data dictionary for a longitudinal study or a protocol for cleaning missing values, that your team used without you being present to explain it.
Signal fluency with remote research tools
Employers hiring research data managers remotely expect immediate comfort with REDCap, cloud storage platforms, SQL, and collaborative coding environments like GitHub. List the specific versions or modules you've worked in, not just the software category, so reviewers can quickly assess fit.
Prepare for async take-home assessments
Many remote research organizations screen candidates with a timed or untimed data task instead of a live coding interview. Practice cleaning a messy dataset, writing clear annotation comments, and summarizing your decisions in plain language, since remote employers evaluate both your output and your reasoning.
Remote Research Data Manager Jobs: Frequently Asked Questions
How do I get a remote research data manager job?
Target organizations that already run distributed research operations, such as contract research organizations, remote-first health tech companies, and university-affiliated programs with virtual teams. Remote employers screen heavily for self-direction, clear written communication, and proficiency with tools like REDCap, R, Python, and cloud-based data repositories. Demonstrating that you can document workflows and troubleshoot data issues asynchronously gives you a real edge over in-office candidates.
Which companies hire remote research data managers?
Companies hiring remote research data managers right now include Prime Intellect, HUD, and Axle, based on current remote listings on Migrate Mate as of November 2026. These tend to be remote-first health tech firms, distributed clinical research organizations, and large academic medical centers with virtual data infrastructure teams.
Can you get a remote research data manager job with no experience?
Yes, but remote entry-level roles are harder to land because employers expect you to work independently from day one with minimal hand-holding. Your best path is building a portfolio of data cleaning projects, contributing to open research datasets, or completing a certification in a tool like REDCap or SQL. Remote-first startups and academic labs with lean teams are the most likely to take a chance on a motivated early-career candidate.
Do you need a degree for remote research data manager jobs?
Usually, but the field increasingly weighs demonstrated skills alongside formal credentials. Many remote employers accept candidates who hold an associate's degree plus strong hands-on experience managing research datasets, particularly if you can show proficiency with data governance standards, version control, and the statistical software common in their research domain. A portfolio that shows real data work often carries more weight than the degree itself.
Which industries hire the most remote research data managers?
Most remote research data manager openings sit in Science & Research, per current remote listings on Migrate Mate as of November 2026. These sectors rely on distributed data teams to collect, validate, and store large research datasets without requiring staff to be on site.
See All 26 Remote Research Data Manager Jobs
Find roles that match your experience and apply in just a few clicks.
Find Jobs