Genomics Data Scientist – GWAS & Metabolomics

University of Chicago; Chicago (IL); On-site; USD 80,000 - 120,000; Full time

Benefits offered by this job

Health insurance

Retirement plan

Paid time off

Job summary

The University of Chicago is hiring a Computational Biologist to enhance NIH-funded projects through statistical and computational tools. This role involves analyzing genomic datasets, developing deep learning models, and collaborating on complex diseases research.

Qualified candidates possess advanced degrees in related fields and skills in R or Python. The role offers diverse benefits including health and retirement options.

Qualifications

• Experience with deep learning in genomics and large language models.
• Proficient in R and/or Python for data analysis.
• Strong analytical and organizational skills.

Responsibilities

• Analyze large-scale genomic datasets including RNA-seq and single-cell data.
• Develop statistical methods to extract biological insights from data.
• Collaborate with experts to address biomedical research questions.
• Train and mentor students in lab.

Skills

Deep learning in genomics

Statistical methods

R programming

Python programming

Analytical skills

Problem-solving skills

Education

Master's or doctoral degree in computational biology

College or university degree in a related field

Tools

GitHub

Snakemake

Nextflow

Job description

The University of Chicago is hiring a Computational Biologist to enhance NIH-funded projects through statistical and computational tools. This role involves analyzing genomic datasets, developing deep learning models, and collaborating on complex diseases research.

Qualified candidates possess advanced degrees in related fields and skills in R or Python. The role offers diverse benefits including health and retirement options.