Remote Research Scientist Engineer Jobs
Remote Research Scientist Engineer jobs are in strong demand across the U.S., with remote-first firms and distributed research teams actively recruiting for these roles in sectors including biotech, artificial intelligence, semiconductor development, and advanced materials. Employers hiring remotely right now include Emory University, Peraton, and General Motors (GM). See the openings below and apply to the ones that match your experience.
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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 75 Remote Research Scientist Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsRemote Research Scientist Engineer Job Market
Who's Hiring
Top Industries Hiring
- Education
- Technology & Software
- Biotechnology & Pharmaceuticals
- Electronics & Hardware
- Automotive
What Employers Look For
The qualifications that appear most often in remote research scientist engineer jobs.
- PhD in a relevant engineering or applied science discipline
- Demonstrated research experience through publications, patents, or dissertations
- Proficiency in Python, MATLAB, or domain-specific simulation software
- Experience designing and executing independent research projects end to end
- Familiarity with statistical modeling, experimental design, and data analysis methods
- Ability to collaborate cross-functionally with product, engineering, and clinical teams
Tips for Your Remote Research Scientist Engineer Job Search
Document your research process publicly
Remote employers can't observe your work habits directly, so a GitHub repository, technical blog, or shared lab notebook that shows how you structure experiments and document findings does the work your resume can't. Make your process visible before you apply.
Apply early to remote roles that fit
Migrate Mate lists remote research scientist engineer openings from across the U.S. in one place, so you can find roles that match your research domain and apply directly without sorting through unrelated postings. Early applicants consistently receive faster responses on competitive remote roles.
Demonstrate async communication in your application
Remote research teams run on written communication. Submit a cover letter or research summary that is precise, well-structured, and self-contained, treating it as a sample of how you'll communicate progress and blockers to a distributed team that never meets synchronously.
Prepare for remote technical screening formats
Remote interviews for research scientist engineer roles often include take-home problem sets, shared Jupyter notebooks, or live coding in collaborative tools like VS Code Live Share or Google Colab. Practice presenting your reasoning in writing and narrating your approach during screen-share sessions.
Remote Research Scientist Engineer Jobs: Frequently Asked Questions
How do I get a remote research scientist engineer job?
Target companies that run distributed R&D teams, such as remote-first technology firms, cloud-native biotech companies, and software-driven hardware startups, because they build workflows around remote researchers from the start. Remote employers screen heavily for self-direction, strong asynchronous written communication, and the ability to document experimental work clearly without in-person check-ins. Candidates who demonstrate independent publication records, open-source research contributions, or well-documented project portfolios stand out in remote hiring processes.
Which companies hire remote research scientist engineers?
Employers currently hiring remote research scientist engineers include Emory University, Peraton, and General Motors (GM), per current remote listings on Migrate Mate as of November 2026. These tend to be remote-first technology companies, distributed AI and machine learning labs, and biotech firms with globally distributed research teams operating across multiple time zones.
Can you get a remote research scientist engineer job with no experience?
Yes, but remote entry-level research scientist engineer roles are harder to land because employers expect you to work independently with minimal day-to-day oversight from day one. Remote-first startups and academic-adjacent technology firms are most open to junior candidates. You can strengthen your case by showing documented personal research projects, published preprints, open-source contributions, or any work that demonstrates you can self-manage a research cycle from hypothesis to written output.
Do you need a degree for remote research scientist engineer jobs?
Usually, but the weight placed on formal credentials varies by employer and research domain. Most roles in AI, semiconductor research, and biotech expect at least a bachelor's degree in engineering, computer science, physics, or a related field, and graduate degrees are common at senior levels. Remote employers increasingly weight demonstrated research output, published work, and reproducible project portfolios alongside or instead of institutional credentials for mid-level roles.
Which industries hire the most remote research scientist engineers?
Remote research scientist engineer roles concentrate in Education, Technology & Software, and Biotechnology & Pharmaceuticals, based on current remote listings on Migrate Mate as of November 2026. These sectors invest heavily in distributed research teams because their core work, modeling, experimentation, data analysis, and documentation, can be executed effectively without a shared physical lab or office environment.
See All 75 Remote Research Scientist Engineer Jobs
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