Rsch Pro 5-Informatics

About the role

The Division of Epidemiology and Clinical Research conducts epidemiologic research into the causes of childhood cancer, outcomes during treatment, and late effects among survivors. Data managed and analyzed include genome-wide variant array, whole exome, and whole genome datasets for multiple pediatric cancers.

Responsibilities

• 70% Genomic analyses of pediatric cancer etiology and outcome:
  • Process raw genomic data, conduct routine QC, and report QC results to supervisors.
  • Independently obtain and match cases with publicly available control data.
  • Lead logistic regression and other multivariable regression analyses using statistical genetic software including R, Plink, and SNiPAR.
  • Prepare manuscripts, figures, and written/oral reports for internal and external dissemination, including journal publications and conference presentations.
  • Lead bioinformatics efforts on collaborative projects within Pediatric Epidemiology, serving as a liaison across laboratories and providing strategic and technical guidance.
  • Collaborate with investigators to enhance current projects and develop unique lines of inquiry.
  • Provide intensive grant application support to faculty, including technical sections, power calculations, and figures.
• 20% Develop and document genomic analytic pipelines:
  • Pipelines for analyzing microsatellite repeats in long-read whole genome sequencing.
  • Pipeline for integrative studies including expression, protein-level, and metabolome quantitative trait loci.
  • Pipelines for analysis of family-based genetic data including relatedness-disequilibrium regression and de novo mutation detection.
• 10% Obtain and manage external genomic datasets:
  • Maintain IRB and other administrative approvals.
  • Track data users to ensure compliance.
  • Ensure data erasure after study close.

Requirements

• Master’s Degree in Epidemiology, Statistical Genetics, Population Genetics, Bioinformatics, or closely related field.
• At least three years of relevant post-bachelor’s work and demonstrated skills in programming analyses of genome-scale data.
• Good interpersonal and communication skills (both oral and written).
• Ability to set priorities, multi-task, and work with several faculty researchers to meet numerous deadlines.
• Ability to provide datasets to collaborators and trainees, and to advise on analysis of these datasets.

Preferred Qualifications

• Experience with analysis of human genomic data.
• Familiarity with cancer epidemiology, sources of cancer data, and especially pediatric cancer data.
• Ability to obtain and analyze data from disparate sources to conduct integrative analyses.
• Conversance in non-genomic data and ability to integrate non-genomic data into genomic analyses.

Pay

Pay Range: $75,000 - $90,000, depending on education, qualifications, and experience.

Benefits

• Comprehensive benefits package including:
  • Competitive wages, paid holidays, and generous time off.
  • Continuous learning opportunities through professional training and degree-seeking programs supported by the Regents Tuition Benefit Program.
  • Low-cost medical, dental, and pharmacy plans.
  • Healthcare and dependent care flexible spending accounts.
  • University HSA contributions.
  • Disability and employer-paid life insurance.
  • Employee wellbeing program.
  • Excellent retirement plans with employer contribution.
  • Public Service Loan Forgiveness (PSLF) opportunity.
  • Financial counseling services.
  • Employee Assistance Program with eight sessions of counseling at no cost.
  • Employee Transit Pass with free or reduced rates in the Twin Cities metro area.