Bioinformatics Research Analyst - Department of Oncology

Bioinformatics Research Analyst - Department ofOncology Wayne State University is searching for an experienced Bioinformatics Research Analyst - Department of Oncology atits Detroit campus location. Wayne State is a premier, public, urban research university locatedin the heart of Detroit, Michigan where students from allbackgrounds are offered a rich, high-quality education. Ourdeep-rooted commitment to excellence, collaboration, integrity,diversity and inclusion creates exceptional educationalopportunities which prepare students for success in a globalsociety. Essential functions (job duties): Provide computational and analytic support for a cancer geneticepidemiology research program focused on genomic determinants ofcancer susceptibility and outcomes. Under the direction of thePrincipal Investigator, develop and execute reproducible workflowsfor large-scale genomic, EHR-linked, and multi-omic data; performstatistical genetic analyses; interpret results; and contribute tocollaborative scientific outputs. The position reports to theProfessor, Oncology. Develop, implement, and maintain reproducible computationalworkflows for analysis of large-scale human genomic data, includingwhole-genome/whole-exome sequencing, array-based genotype data, andderived genomic datasets. Perform data quality control, extraction, transformation and integration across genomic, phenotype/EHR and multi-omic datasetsusing secure cloud and high-performance computing environments,including Hail/VDS-based workflows when appropriate. Conduct statistical genetics and genetic epidemiology analysesunder PI direction, including variant- and region-based associationanalyses, population-stratified analyses, risk-score analyses, andrelated methods appropriate to individual projects. Annotate and interpret genomic findings using internal and publicreference resources; evaluate technical and biological plausibilityand summarize results for scientific decision-making. Maintain organized, documented, version-controlled code andanalytic records; perform validation and troubleshooting to supportreproducibility and efficient reuse of pipelines acrossprojects. Prepare analysis summaries, tables, figures, methods documentationand other materials for manuscripts, abstracts, presentations,grants, and project reports. Perform other related duties as assigned. Qualifications: Education: Master's degree Master’s degree from an accredited college or university inBioinformatics, Computational Biology, Statistical Genetics,Genetic Epidemiology, Biostatistics, Data Science, or a relatedquantitative field. Experience: Entry level (One year of job-relatedexperience) Prior research experience analyzing human genomic or otherhigh-dimensional biological data including quality control,analysis, and interpretation of human genetic data derived fromwhole-genome sequencing, whole-exome sequencing, array genotyping,and/or other genomic technologies required. Experience performing genomic data quality control, dataharmonization, variant annotation, and statistical analysisrequired. Experience working with large population or clinical researchdatasets, including EHR-linked genomic cohorts preferred. Graduate research and internships experience preferred; MSresearch project experience is acceptable. Experience with Hail, SQL or relational databases, Git/versioncontrol, cloud-based genomic analysis, PRS, Mendelianrandomization, gene-environment interaction analysis or multi-omicsintegration preferred. Experience with Python preferred. Knowledge, Skills, and Abilities: Proficiency in R for data manipulation, statistical analysis, andvisualization. Working knowledge of Unix/Linux, shell scripting, andcommand-line bioinformatics tools. Familiarity with common human-genetics data formats, includingVCF/BCF, PLINK BED/BIM/FAM or PGEN/PVAR/PSAM, BED interval filesand GWAS summary-statistic files. Ability to work with large-scale genomic datasets incloud-computing or high-performance computing environments,including efficient management and analysis of datasets that cannotbe processed locally. Familiarity with large genomic and population resources such asAll of Us, UK Biobank, dbGaP, gnomAD, 1000 Genomes andTOPMed. Knowledge of human genetic association methods, includingsingle-variant association testing, gene- or region-based analysis,population stratification, and ancestry adjustment, GWAS,rare-variant analysis and interpretation of associationresults. Ability to develop clear, reproducible, well-documented analyticcode and computational workflows, including appropriate qualitycontrol and validation steps. Strong quantitative reasoning and troubleshooting skills,including the ability to identify and resolve problems involvingdata structure, computational pipelines, statistical models, andunexpected analytic results. Ability to critically interpret genetic and genomic results andcommunicate findings clearly to the Principal Investigator,scientific collaborators, and multidisciplinary research teams. Ability to manage multiple analyses simultaneously, maintainorganized analytic documentation, meet project deadlines, and adaptto evolving research questions and methods. Ability and willingness to independently learn new statistical,computational and bioinformatic methods as required by researchprojects. Familiarity with integration and interpretation of multiplegenomic data types, including sequencing, transcriptomic,epigenomic and chromatin-accessibility data. Strong written and verbal communication skills and the ability tocontribute to scientific presentations, manuscripts, abstracts, andcollaborative research discussions. Preferred qualifications: School/College/Division: H06 - School of Medicine Primary department: H0632 - Oncology Employment type: Regular Employee Job type: Full Time Job category: Research Funding/salary information: Compensation type: Annual Salary Working conditions: Normal office and computational research environments. Job openings: Number of openings: 1 Reposted position: No Reposted reason: None (New Requisition) Prior posting/requisition number: Background check requirements: University policy requires certain persons who are offeredemployment to undergo a background check, including a criminalhistory check, before starting work. If you are offered employment,the university will inform you if a background check isrequired. #J-18808-Ljbffr Wayne State University