Bioinformatics Research Analyst - Department of Oncology

Bioinformatics Research Analyst - Department of Oncology

Wayne State University is searching for an experienced

Bioinformatics Research Analyst - Department of Oncology at its Detroit campus location.

Wayne State is a premier, public, urban research university located in the heart of Detroit, Michigan where students from all backgrounds are offered a rich, high-quality education. Our deep-rooted commitment to excellence, collaboration, integrity, diversity and inclusion creates exceptional educational opportunities which prepare students for success in a global society.

Essential functions (job duties):

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.

Unique duties:

Qualifications:

Education:

Master's degree

­ Master's degree from an accredited college or university in Bioinformatics, Computational Biology, Statistical Genetics, Genetic Epidemiology, Biostatistics, Data Science, or a related quantitative field.

Experience:

Entry level (One year of job-related experience)

­ Prior research experience analyzing human genomic or other high-dimensional biological data including quality control, analysis, and interpretation of human genetic data derived from whole-genome sequencing, whole-exome sequencing, array genotyping, and/or other genomic technologies required.

­ Experience performing genomic data quality control, data harmonization, variant annotation, and statistical analysis required.

­ Experience working with large population or clinical research datasets, including EHR-linked genomic cohorts preferred.

­ Graduate research and internships experience preferred; MS research project experience is acceptable.

­ Experience with Hail, SQL or relational databases, Git/version control, cloud-based genomic analysis, PRS, Mendelian randomization, gene-environment interaction analysis or multi-omics integration preferred.

­ Experience with Python preferred.

Knowledge, Skills, and Abilities:

­ Proficiency in R for data manipulation, statistical analysis, and visualization.

­ Working knowledge…