Senior Research Analyst; Contractual
Listed on 2026-06-24
-
Research/Development
Data Scientist, Research Scientist, Research Analyst -
Healthcare
Data Scientist
Job Description
The University of Maryland, Baltimore (UMB), School of Medicine
- Epidemiology and Public Health is currently seeking a Senior Research Analyst.
Contingent Category II
UMB offers a comprehensive benefits package that prioritizes wellness, work/life balance, and professional development, along with additional exciting perks that employees can take advantage of. Contingent Category II staff receive a generous leave package that includes over 2 weeks of vacation each year, paid holidays, sick time, and time for community service; subsidized comprehensive health insurance and supplemental retirement options; professional learning and development programs;
limited tuition remission for employees enrolled at UMB; life insurance and long‑term disability; and flexible work schedules and teleworking options (if applicable per job).
UMB is a public university and constituent institution of the University System of Maryland. All employees are expected to work primarily physically within the State of Maryland.
Note:
This position will report to the Division Director/PI. This is a hybrid position with up to 2 telework days. An additional telework day will be considered after successful completion of probation.
- Responsible for conducting advanced analysis and support for research programs in order to promote a culture of assessment and evidence based decision‑making. The Senior Research Analyst will compile and interpret research data; establish and maintain databases, develop quality assurance; and provide final interpretations to others.
- Independently conduct research assignments that include a variety of complex features such as conflicting design requirements and difficult coordination requirements. The Senior Research Analyst is recognized as a subject‑matter expert and completes the highly complex work critical to the department. Assignments and projects are broad in nature requiring originality and ingenuity.
- Design and conduct quantitative research projects, analyze findings, develop conclusions, develop and write reports, prepare presentations of relevant findings and conclusions, and recommend appropriate actions.
- Develop and perform effective methods of data collection and assessment. May receive, inventory, enter, and organize collected data. Develop methods and tools to ensure validity and accuracy of data and compliance with quality control requirements.
- Establish and maintain database files, perform required data extraction through programming and report on progress of programs, studies, and/or projects.
- Perform sophisticated data searches and exchanges among micro, mini, and mainframe‑based statistical software applications to generate standard and customized reports using statistical applications. Demonstrate expertise in statistical applications such as SPSS, SAS, R, STATA, and Excel.
- Act in a lead role in the summation and preparation of manuscripts, presentations, and proposals by providing and presenting statistical information in the forms of tables, charts, or graphs. Review the work of support staff and determine how analysis will be presented.
- Communicate and provide updates regarding the most complex data collection, analysis, and reporting processes.
- Provide guidance, training, and mentoring to less experienced personnel in qualitative and quantitative analysis.
- Clean and standardize registry, EHR, claims, REDCap, or survey variables into a common analytic structure.
- Build reproducible checks for missingness, duplicates, date inconsistencies, coding drift, implausible values, and refresh‑to‑refresh changes.
- Implement study inclusion/exclusion criteria, derive exposures, outcomes, and covariates, and create frozen analytic datasets under investigator supervision.
- Produce routine summaries of case counts, stage at diagnosis, screening uptake, treatment timing, follow‑up completeness, or other operational epidemiology metrics by demographic and geographic subgroup.
- Link cases to census tract or ZIP‑level contextual variables such as deprivation, rurality, or access‑to‑care measures.
- Create a workflow to tag and summarize new papers by cancer site, exposure,…
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