Bioinformatics Research Analyst - Department of Oncology

Provide computational and analytic support for a cancer genetic epidemiology research program focused on genomic determinants of cancer susceptibility and outcomes. Under the direction of the Principal Investigator, develop and execute reproducible workflows for large-scale genomic, EHR-linked, and multi-omic data; perform statistical genetic analyses; interpret results; and contribute to collaborative scientific outputs. The position reports to the Professor, Oncology. Develop, implement, and maintain reproducible computational workflows for analysis of large-scale human genomic data, including whole-genome/whole-exome sequencing, array-based genotype data, and derived genomic datasets. Perform data quality control, extraction, transformation, and integration across genomic, phenotype/EHR and multi-omic datasets using secure cloud and high-performance computing environments, including Hail/VDS-based workflows when appropriate. Conduct statistical genetics and genetic epidemiology analyses under PI direction, including variant- and region-based association analyses, population-stratified analyses, risk-score analyses, and related methods appropriate to individual projects. Annotate and interpret genomic findings using internal and public reference resources; evaluate technical and biological plausibility and summarize results for scientific decision-making. Maintain organized, documented, version-controlled code and analytic records; perform validation and troubleshooting to support reproducibility and efficient reuse of pipelines across projects. Prepare analysis summaries, tables, figures, methods documentation and other materials for manuscripts, abstracts, presentations, grants, and project reports. Perform other related duties as assigned.