Job Description

We’re Hiring! Computational Biologist / Genomic Data Scientist.

Join our lab to use cutting-edge data & AI/ML to advance human health.

Genetics & Genomics analysis
AI/ML in biology
Solving real-world genomic problems

📄 Full details:

Genomic Data Scientist / Computational Biologist

We are looking to hire a lifelong learner interested in developing statistical and computational tools to sift through large amounts of data to make discoveries that can improve human health.

We create methods and resources that are used by researchers around the globe. We continue innovating and providing user-friendly and statistically efficient tools to get the most out of the ever-increasing amount of data.

We partner with large consortia and biomedical researchers to find the most pressing questions in the field and apply our statistical expertise to develop reliable and efficient approaches to answer them.

QUALIFICATIONS:

• Curiosity, passion for science, and love of learning.
• A degree in computational biology, bioinformatics, statistics, physics, or other quantitative disciplines with an interest in applying skills to biomedical research. Or working toward such a degree.
• Willingness to explore and adopt new ideas and technologies.
• Analytical, statistical, quantitative, and computational/programming skills.
• R and/or python.

DESIRED QUALIFICATIONS OR WILLINGNESS TO QUICKLY ACQUIRE:

• Experience with deep learning in genomics and large language models.
• Experience with large data sets, distributed computing, and databases.
• Reproducible research tools and workflows (github, snakemake, nextflow).

WHAT WE OFFER:

• A collegial, inclusive, and stimulating research environment.
• Personalized mentoring to help you achieve your potential.
• State-of-the-art data and access to some of the world’s largest supercomputers.
• Great benefits package available to University of Chicago employees.

To apply, email Hae Kyung Im (haky@uchicago.edu) with your CV and a brief introduction.