Research Data Analyst Associate
Listed on 2025-12-27
-
Healthcare
Data Scientist, Clinical Research -
Research/Development
Data Scientist, Clinical Research, Research Scientist
Department
MED-Impact Institute
Salary/GradeEXS/6
Job SummaryThe Impact Institute at Northwestern University conducts research on the health of LGBTQ populations. We are committed to improving lives through pioneering research, data‑driven evaluation, and evidence‑based implementation strategies that promote health for all. Building on more than a decade of community‑engaged work, the Impact Institute leads scientific innovations that advance health knowledge, transform healthcare delivery, and support thousands of individuals and families.
The Impact Institute is hiring a Research Data Analyst Associate to support the RADAR project, a longitudinal cohort study of LGBTQ individuals living in the Chicagoland area. This position will work closely with study investigators, project managers, and other research personnel to design and implement data management and analytic strategies that align with the project's scientific objectives.
Responsibilities- Assisting with the design, testing, and maintenance of data collection instruments, participant tracking tools, and electronic data capture systems (e.g., REDCap).
- Carrying out ongoing data quality assurance procedures, including data cleaning, validation, codebook development, and documentation of data irregularities or protocol deviations.
- Performing secure data storage, organization, and retrieval processes consistent with institutional and federal compliance requirements (including de‑identification, data transfer protocols, and controlled‑access procedures).
- Supporting the establishment, maintenance, and sharing of research datasets for internal project use and for external collaborators, including preparation of well‑documented, analysis‑ready datasets.
- Collaborating with investigators and analysts to generate summary statistics or descriptive reports that inform study operations and manuscript development.
- Contributing to research dissemination through preparation of figures, tables, technical summaries, and methodological documentation for manuscripts, presentations, and grant reports.
- Participating in regular team meetings and contributing to the development and refinement of data‑related workflows, standard operating procedures, and best practices for longitudinal cohort research.
- Partners with clients to define requirements based on business objectives.
- Administration.
- Develop standardized templates, policies, and procedures for internal and external reporting.
- Designs and prepares documentation for qualitative and quantitative data analysis.
- Completes a variety of statistical analyses using appropriate data and software.
- Merges data from multiple sources in preparation for analysis.
- Interprets results of analyses for use in reports and presentations.
- Completes data cleaning and organizes data files for analysis.
- Reviews data and identifies quality issues.
Performs other duties as assigned.
Minimum Qualifications- Successful completion of a full 4‑year course of study in an accredited college or university leading to a bachelor’s or higher degree; OR appropriate combination of education and experience.
- Good time management skills; efficient and resourceful in problem‑solving; able to prioritize tasks.
- Ability to interact sensitively, effectively, and professionally with individuals from diverse backgrounds.
- Clear and effective oral and written communication skills.
- Demonstrated experience using one or more statistical/programming software such as SPSS, SAS or R.
- Demonstrated experience programming surveys using computer assisted self‑interviewing technology.
- One year of experience in research‑related programming, data management and statistical data processing.
- Previous experience working in a biomedical, social science, or health science research field.
- Self‑driven with the ability to work independently with minimal supervision and guidance.
- Willingness to expand technical skills.
- Experience with REDCap for data collection.
- Technical proficiency with SAS.
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