Research Data Analyst
The Research Data Analyst supports Graduate Medical Education residency and fellowship programs by organizing and analyzing research data, facilitating study design, and preparing scholarly materials for publication and presentation. This role involves collaboration with faculty and residents to generate hypotheses, conduct statistical analyses, oversee research projects, and track research progress to fulfill institutional accreditation requirements. The position requires strong statistical expertise, experience with healthcare data analysis software, and effective communication skills to contribute to clinical research and education.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Research Services.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
This Research Data Analyst will support Graduate Medical Education (GME) residencies and fellowships by organizing and analyzing research and scholarly activity, producing written and presentation materials, and helping faculty and residents meet institutional and accreditation requirements.
- Organize and manage research datasets for multiple GME programs (data cleaning, documentation, version control)
- Conduct secondary analyses of hospital administrative data, specialty registries, and publicly available datasets
- Collaborate with program directors, faculty, and residents to generate research hypotheses and develop analysis plans
- Perform descriptive and regression analyses; interpret results and translate findings for clinical audiences
- Lead evaluation projects including study design, data collection, IRB application support, and monitoring
- Prepare abstracts, posters, manuscripts, and technical reports; submit materials to journals and conferences
- Present results at meetings and to state agencies as requested (virtual and in-person)
- Develop and maintain educational content and resources for residents and stakeholders (e.g., Teams channels, guides)
- Track resident research progress and report metrics to program leadership
- Other duties as assigned in support of GME scholarly activity and quality improvement
Who We’re Looking For
Confidential Client seeks an analytically strong candidate with hands-on experience in clinical research data analysis and excellent scientific communication skills.
- Strong foundation in statistics and epidemiologic principles (study design, bias, confounding, inference)
- Proven ability to interpret complex datasets and extract actionable insights
- Track record of peer‑reviewed publications or demonstrable contributions to publishable research
- Clear, concise scientific writing and oral presentation skills
- Detail-oriented with strong organizational and problem‑solving abilities
- Able to manage multiple projects and deadlines in a fast-paced environment
Required Education & Experience
- Master’s degree in Biostatistics, Public Health, Epidemiology, Data Science, Health Informatics, or related field
- Minimum of 2 years’ experience in clinical research data analysis or healthcare analytics
- Practical experience with statistical scripting and analysis tools (STATA, R, SAS, or SPSS)
- A combination of education and related experience will be considered
Preferred / Nice-to-Have Skills
- Prior experience supporting GME programs, residency/fellowship research, or medical education evaluations
- Familiarity with social determinants of health frameworks
- Experience preparing IRB applications and managing study compliance
- Experience presenting at conferences and working with multidisciplinary clinical teams
Location & Additional Info
This position is based in Tyler, TX. Candidates must be legally authorized to work in the United States. Confidential Client will comply with applicable federal, state, and local employment laws for roles posted in the locations where the position is advertised.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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