Lead Data Scientist, Oncology & Genomics Research

The University of Chicago; Chicago (IL); On-site; USD 70,000 - 100,000; Full time

Job summary

The University of Chicago is seeking a Data Scientist to lead data science research within the breast cancer program in Hematology/Oncology. You will develop and code data dictionaries, build ML pipelines, and collaborate to implement external tools across large clinical datasets.

Responsibilities include drafting grant proposals, supervising trainees, and advancing reproducible genomic analyses. Strong Python/ML experience and familiarity with imaging or text data are preferred.

Qualifications

• Advanced degree in computer science required.
• Experience with Python, Torch and scikit-learn preferred.
• Experience with image data or unstructured text data using large language models preferred.

Responsibilities

• Manage the program’s projects.
• Develop frameworks for housing multi-modal clinical data (genomic, pathology, imaging).
• Write and optimize data pipelines for processing and analysis.
• Collaborate to implement external computational tools for program data.
• Draft grant proposals and develop training materials.

Skills

Linux/Ubuntu

tmux

SLURM

Python

Torch

scikit-learn

LLMs

Analytical skills

Teamwork

Communication skills

Education

Advanced degree in computer science

Tools

Python

Torch

scikit-learn

tmux

SLURM

Linux/Ubuntu

Job description

The University of Chicago is seeking a Data Scientist to lead data science research within the breast cancer program in Hematology/Oncology. You will develop and code data dictionaries, build ML pipelines, and collaborate to implement external tools across large clinical datasets.

Responsibilities include drafting grant proposals, supervising trainees, and advancing reproducible genomic analyses. Strong Python/ML experience and familiarity with imaging or text data are preferred.