Entry Level Research Data Scientist Jobs
New grad research data scientist jobs are open to recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio or hands-on internship work can matter more than a long resume. Most openings are on-site roles across Insurance, Technology & Software, and Biotechnology & Pharmaceuticals, with employers like AIG, TikTok, and Buck Institute hiring at this level now.
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Showing 5 of 8+ Entry Level Research Data Scientist jobs
Overview:
Principal Duties
- Research Data Navigation
- Secondary Data Resource Repository
- Clinical Research Project Management
Knowledge and Skills Required
- PhD in Public Health, Epidemiology, Biostatistics, Biomedical Informatics, or a related field.
- 1+ years of experience with secondary data research (e.g., clinical, administrative, registry, or EHR data) and clinical research study design/data analysis.
- Experience in an academic medical center, health system, or clinical research environment preferred.
- Peer-reviewed scientific publication and grant proposal writing track record required.
- Project management experience, including planning, reporting, stakeholder engagement, and development of standard operating procedures.
- Must reside in or be willing to relocate to the Columbus, OH region.
Job Description Summary:
Conducts independent research in a specific scientific area, designs experiments, analyzes data, and presents findings. Oversees and assists junior research staff and students.
Job Description:
Essential Functions:
- Designs experiments, develops protocols, and conducts independent research. Develops project aims, objectives, and experimental techniques.
- Supervises and mentors junior research staff and students. Trains and supervises technical support staff in performing specific techniques essential to carrying out the research program.
- Records and analyzes data generated by the research study. Develops hypotheses for further investigation from the results of the studies performed.
- Independently prepares scientific and technical papers for publication in peer-reviewed journals. Presents findings at local and national research forums. Writes first drafts of grant proposals and manuscripts. May be CO-PI on grant applications.
- Collaborates with other ongoing research efforts either at NCH or at The Ohio State University.
- Prepares to submit proposals to and obtain funding from external granting agencies.
Education Requirement:
PhD or equivalent degree in relevant field of science, required.
Licensure Requirement:
(not specified)
Certifications:
(not specified)
Skills:
- Effective interpersonal skills required in interactions with scientists, physicians, and laboratory colleagues.
- Excellent laboratory technical skills.
- Excellent computer skills.
- Skills in qualitative and quantitative research methods.
- Ability to proactively manage and drive projects.
Experience:
Three years of relevant research experience after PhD program, required.
Physical Requirements:
OCCASIONALLY: Bend/twist, Climb stairs/ladder
FREQUENTLY: Lifting / Carrying: 0-10 lbs, Lifting / Carrying: 11-20 lbs, Pushing / Pulling: 0-25 lbs, Pushing / Pulling: 26-40 lbs, Standing, Walking
CONTINUOUSLY: Audible speech, Color vision, Computer skills, Decision Making, Depth perception, Flexing/extending of neck, Hand use: grasping, gripping, turning, Hearing acuity, Interpreting Data, Peripheral vision, Problem solving, Reaching above shoulder, Repetitive hand/arm use, Seeing – Far/near, Sitting, Squat/kneel
Additional Physical Requirements performed but not listed above:
100% Any requirement necessary to perform research at the bench, work in the animal facility
"The above list of duties is intended to describe the general nature and level of work performed by individuals assigned to this classification. It is not to be construed as an exhaustive list of duties performed by the individuals so classified, nor is it intended to limit or modify the right of any supervisor to assign, direct, and control the work of employees under their supervision. EOE M/F/Disability/Vet"
Overview:
Principal Duties
- Research Data Navigation
- Secondary Data Resource Repository
- Clinical Research Project Management
Knowledge and Skills Required
- PhD in Public Health, Epidemiology, Biostatistics, Biomedical Informatics, or a related field.
- 1+ years of experience with secondary data research (e.g., clinical, administrative, registry, or EHR data) and clinical research study design/data analysis.
- Experience in an academic medical center, health system, or clinical research environment preferred.
- Peer-reviewed scientific publication and grant proposal writing track record required.
- Project management experience, including planning, reporting, stakeholder engagement, and development of standard operating procedures.
- Must reside in or be willing to relocate to the Columbus, OH region.
Job Description Summary:
Conducts independent research in a specific scientific area, designs experiments, analyzes data, and presents findings. Oversees and assists junior research staff and students.
Job Description:
Essential Functions:
- Designs experiments, develops protocols, and conducts independent research. Develops project aims, objectives, and experimental techniques.
- Supervises and mentors junior research staff and students. Trains and supervises technical support staff in performing specific techniques essential to carrying out the research program.
- Records and analyzes data generated by the research study. Develops hypotheses for further investigation from the results of the studies performed.
- Independently prepares scientific and technical papers for publication in peer-reviewed journals. Presents findings at local and national research forums. Writes first drafts of grant proposals and manuscripts. May be CO-PI on grant applications.
- Collaborates with other ongoing research efforts either at NCH or at The Ohio State University.
- Prepares to submit proposals to and obtain funding from external granting agencies.
Education Requirement:
PhD or equivalent degree in relevant field of science, required.
Licensure Requirement:
(not specified)
Certifications:
(not specified)
Skills:
- Effective interpersonal skills required in interactions with scientists, physicians, and laboratory colleagues.
- Excellent laboratory technical skills.
- Excellent computer skills.
- Skills in qualitative and quantitative research methods.
- Ability to proactively manage and drive projects.
Experience:
Three years of relevant research experience after PhD program, required.
Physical Requirements:
OCCASIONALLY: Bend/twist, Climb stairs/ladder
FREQUENTLY: Lifting / Carrying: 0-10 lbs, Lifting / Carrying: 11-20 lbs, Pushing / Pulling: 0-25 lbs, Pushing / Pulling: 26-40 lbs, Standing, Walking
CONTINUOUSLY: Audible speech, Color vision, Computer skills, Decision Making, Depth perception, Flexing/extending of neck, Hand use: grasping, gripping, turning, Hearing acuity, Interpreting Data, Peripheral vision, Problem solving, Reaching above shoulder, Repetitive hand/arm use, Seeing – Far/near, Sitting, Squat/kneel
Additional Physical Requirements performed but not listed above:
100% Any requirement necessary to perform research at the bench, work in the animal facility
"The above list of duties is intended to describe the general nature and level of work performed by individuals assigned to this classification. It is not to be construed as an exhaustive list of duties performed by the individuals so classified, nor is it intended to limit or modify the right of any supervisor to assign, direct, and control the work of employees under their supervision. EOE M/F/Disability/Vet"
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Who's Hiring
Top Industries Hiring
- Insurance
- Technology & Software
- Biotechnology & Pharmaceuticals
- Education
- Healthcare & Medical Services
Entry Level Research Data Scientist Jobs: Frequently Asked Questions
How do I get an entry level research data scientist job?
Focus on building a portfolio that shows you can work with real data: published notebooks, a GitHub repository, or a capstone project from a graduate program all signal readiness to employers. Internship experience is a strong differentiator, but self-directed projects on public datasets can substitute. Entry level postings at this level typically look for Python or R proficiency, familiarity with statistical modeling, and the ability to communicate findings clearly to non-technical stakeholders.
Which companies hire entry level research data scientists?
Companies hiring entry level research data scientists right now include AIG, TikTok, and Buck Institute, based on current listings on Migrate Mate as of September 2026. At this level, hiring covers technology firms, research institutions, healthcare organizations, and consumer-facing companies that are building or expanding their data science functions.
Are there remote entry level research data scientist jobs?
Yes, though on-site roles remain common at this stage. About 0% of entry level research data scientist openings are remote or hybrid as of September 2026, so candidates are not limited to their local market. Hybrid arrangements are especially common at larger employers who want new researchers collaborating in person part of the week.
Are these new grad research data scientist jobs?
Yes, these listings include new grad, recent graduate, and junior research data scientist roles. A posting is typically new-grad friendly when it welcomes zero to two years of experience, accepts internship or academic project work in place of full-time history, or explicitly invites applications from candidates with a strong portfolio rather than a long resume. Searching for "junior" alongside "entry level" will surface additional options at this stage.
Which industries hire the most entry level research data scientists?
Entry Level research data scientist roles concentrate in Insurance, Technology & Software, and Biotechnology & Pharmaceuticals, based on current listings on Migrate Mate as of September 2026. These sectors tend to generate the most entry level openings because they have large, ongoing research needs and structured programs designed to develop early-career data scientists into senior contributors over time.