Computational Biologist

University of Chicago

Chicago, IL, US
Base: $60,000.00 - $80,000.00; bonus/equity: not s...
Analyze large-scale genomic datasets
Develop statistical and computational methods
Proficiency in r and/or python
The role involves developing statistical and computational tools to sift through large amounts of data to improve human health

Job Summary

  • The role involves developing statistical and computational tools to sift through large amounts of data to improve human health.
  • The position requires integrating large-scale GWAS with metabolomics data to uncover mechanisms underlying complex diseases.
  • The University of Chicago offers a wide range of benefits programs including health, retirement, and paid time off.

Matching Summary

The role involves developing statistical and computational tools to sift through large amounts of data to improve human health.

Salary

Base: $60,000.00 - $80,000.00; Bonus/Equity: Not specified; Benefits: Health, retirement, and paid time off included

Skills & Requirements

Must-have

  • Analyze large-scale genomic datasets
  • Develop statistical and computational methods
  • Proficiency in R and/or Python

Nice-to-have

  • Experience with deep learning in genomics
  • Familiarity with large language models
  • Willingness to explore new technologies

Key Requirements

  • 2-5 years of work experience in related discipline
  • Master's or doctoral degree in quantitative field
  • Knowledge of reproducible research tools like GitHub

Work Rights

Not specified

Tailored Resume

Cover Letter