Genomics Data Scientist – GWAS & Metabolomics

Biological Sciences Division at the University of Chicago; Chicago (IL); On-site; USD 80,000 - 110,000; Full time

Benefits offered by this job

Health benefits

Paid time off

Retirement programs

Job summary

The Biological Sciences Division at the University of Chicago is seeking a Computational Biologist to work on NIH-funded projects, focusing on integrating large-scale genomic data with metabolomics to uncover mechanisms of complex diseases.

The ideal candidate will have a Master's or doctoral degree and expertise in deep learning, statistical methods, and programming within genomics. You will play a crucial role in data analysis and collaborative research efforts.

Qualifications

• College or university degree in a related field.
• Advanced analytical, statistical, quantitative and computational/programming skills.

Responsibilities

• Analyze large-scale genomic datasets including RNA-seq, whole genome sequence, and single-cell data.
• Develop and apply statistical and computational methods to extract biological insights.
• Collaborate with disease and genomics experts to address biomedical research questions.

Skills

Deep learning in genomics

Data analysis

R and/or Python proficiency

Statistical methods

Problem-solving

Education

Master’s or doctoral degree in computational biology, bioinformatics, statistics, physics or other quantitative disciplines

Tools

GitHub

Snakemake

Nextflow

Job description

The Biological Sciences Division at the University of Chicago is seeking a Computational Biologist to work on NIH-funded projects, focusing on integrating large-scale genomic data with metabolomics to uncover mechanisms of complex diseases.

The ideal candidate will have a Master's or doctoral degree and expertise in deep learning, statistical methods, and programming within genomics. You will play a crucial role in data analysis and collaborative research efforts.