Research Data Analyst I
The Research Data Analyst I supports NIH-funded translational research on COPA syndrome and related immune-mediated lung diseases by collecting, managing, and analyzing clinical and biomarker data. Under supervision, the analyst performs data quality control, integrates longitudinal datasets, and prepares reports to facilitate research findings communication within a multidisciplinary team. This entry-level role emphasizes developing skills in research data handling and contributing to advancing understanding of rare pulmonary and immunological disorders.
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, Scientific & QA.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
Confidential Client is hiring a Research Data Analyst I to support an NIH-funded translational research project focused on longitudinal biomarker and clinical data. This entry-level role is ideal for candidates who want hands-on experience in clinical research data collection, management, and basic analysis.
- Support data collection and abstraction of clinical and translational research data, including phenotype, disease activity, medications, laboratory measures, and patient-reported outcomes.
- Maintain REDCap and other approved research databases: routine data entry, completeness checks, data cleaning, and discrepancy reconciliation.
- Organize and integrate longitudinal biomarker datasets (e.g., interferon scores, phosphorylated STING) with participant, visit, specimen, and clinical data.
- Perform basic descriptive and exploratory analyses under supervision and prepare tables, figures, and analysis-ready datasets.
- Maintain study tracking tools, data dictionaries, variable definitions, and documentation of data-management procedures.
- Assist with literature reviews, research documentation, and preparation of materials for abstracts, manuscripts, presentations, and NIH reporting.
- Participate in research-team meetings and communicate data-quality issues and study progress to the Principal Investigator and research staff.
Estimated salary (as advertised): $63,564 per year (estimated).
Qualifications
Required (minimum to be considered)
- At least 6 months of experience working with structured research, clinical, or other data using spreadsheets, databases, or comparable data-management tools.
- Ability to follow established procedures for data collection, quality control, and basic analysis.
- Strong attention to detail, good organizational skills, and ability to complete tasks by established deadlines.
- Basic written and verbal communication skills and ability to work effectively within a multidisciplinary research team.
Preferred
- Experience with REDCap or a comparable research database/data-management system.
- Experience using R, GraphPad Prism, Excel, or similar tools for quantitative data management or analysis.
- Experience in clinical, biomedical, or translational research environments, especially with longitudinal participant data.
- Familiarity with human-subjects research and handling of protected health information (PHI).
- Interest or experience in rare-disease, immunology, or monogenic-disorder research is a plus.
Education & Experience
- Bachelor’s degree in a related field and/or equivalent experience or training is preferred but not strictly required.
- Entry-level role: candidates will receive supervision and training with opportunities to expand responsibilities over time.
Working Conditions & Other Information
- Full-time position supporting NIH/NCATS-funded translational research.
- Work involves standard office/laboratory-adjacent research environments and routine interaction with clinical research teams.
- Employees must adhere to privacy, confidentiality, and security policies related to PHI and follow organizational standards for professionalism and safety.
- Performs other duties as assigned.
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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