Computational Biologist (Researcher 4)

About the Job

Dr. Vivek’s lab in the in the Medical School is seeking a highly skilled and motivated Computational Biologist with experience in genomics data analysis to join her innovative research team.

Dr. Vivek’s research focuses on identifying blood biomarkers associated with aging and age-related outcomes, including diabetes, dementia, and chronic kidney disease (CKD).

She employs machine learning methods to integrate high-dimensional multi-omics data, elucidating biological insights into aging and disease pathways.

The successful candidate will specialize in statistical, bioinformatics, and computational biology analyses, utilizing high-dimensional omics and extensive phenotype data from large population-based cohorts.

Key Responsibilities :

80% Perform statistical and bioinformatics analysis :

• Research Support : Partner with Dr. Vivek in conducting original research by leveraging platform-based tools and biological insights to analyze high-dimensional omics, imaging, and phenotypic data, adhering to best practices such as staying current with literature, tool benchmarking, and code sharing through GitHub.
• Data Handling : Wrangle, clean, structure, and store large datasets from investigators efficiently.
• System Development : Help build, populate, and maintain a searchable system for storing raw omics and imaging data, sample metadata, data generation and processing provenance, and custom analysis results.
• Workflow Implementation : Implement scalable, high-performance workflows to support the research community with advanced analytical techniques and disseminate best practices.
• Best Practices : Implement best practices for the representation and analysis of omics, imaging, and integrative data for machine learning prediction models and data visualizations.

10% Collaboration, documentation and presentation of research findings :

• Team Collaboration : Work collaboratively across labs to manage and develop tools and pipelines, supporting investigator discoveries and scholarly work.
• Documentation and Support : Provide detailed documentation and user support to enable computational researchers to access and re-use analysis pipelines effectively.
• Collaborative Coding : Engage with team members to build, publish, and re-use high-performance open-source code.
• Software Development : Contribute to software development using structured software engineering best practices, ensuring robust and reliable tools.
• Technical Support : Offer processed data and technical support to biostatisticians and computational scientists, identifying and addressing technical factors in data generation and processing to facilitate biological conclusions.
• Investigator Collaboration : Collaborate with investigators to understand and clarify requests, document requirements, communicate ongoing work, interpret results, and foster a supportive research community.

10% Manuscript preparation and publication support :

• Prepare materials for presentations and publications, focusing on data visualization, statistical analysis results, and interpretation.
• Create visually appealing and informative publishable quality charts, graphs, and slides.

This position is hybrid with at least three days a week in the office. Our office is located on the West Bank of Minneapolis's campus.

Comp range : $78,000 - 85,000

Qualifications

Benefits

Working at the University

At the University of Minnesota, you’ll find a flexible work environment and supportive colleagues who are interested in lifelong learning.

We prioritize work-life balance, allowing you to invest in the future of your career and in your life outside of work.

The University also offers a comprehensive benefits package that includes :

• Competitive wages, paid holidays, and generous time off
• Continuous learning opportunities through professional training and degree-seeking programs supported by the
• 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)
• Financial counseling services
• Employee Assistance Program with eight sessions of counseling at no cost
30+ days ago