Breast Cancer Data Scientist: Genomics & Imaging

Biological Sciences Division at the University of Chicago; Chicago (IL); On-site; USD 70,000 - 100,000; Full time

Benefits offered by this job

Benefits eligible

Job summary

The University of Chicago is seeking a Data Scientist to lead data science research in the breast cancer program within the Hematology/Oncology section. You will manage projects and develop pipelines for genomic, pathology, and radiographic data, while supervising trainees.

Ideal candidates bring 2–5 years of related experience, strong Python, Torch and scikit-learn skills, and familiarity with large language models and imaging data.

Qualifications

• Minimum requirements include a college or university degree in a related field.
• 2–5 years of work experience in a related job discipline.
• Experience with Python, Torch and scikit-learn libraries is strongly preferred.
• Experience with image data or unstructured text data and large language models.

Responsibilities

• Lead data science research efforts within the breast cancer program.
• Develop frameworks for housing multi-modal clinical data (genomic, pathology, radiographic).
• Write and optimize data dictionaries and ML pipelines for data processing.
• Collaborate to implement external computational tools and draft proposals.
• Supervise trainees and prepare training materials.

Skills

Python

Torch

Scikit-learn

Education

Bachelor's degree in related field

Advanced degree in computer science

Tools

tmux

SLURM

Job description

The University of Chicago is seeking a Data Scientist to lead data science research in the breast cancer program within the Hematology/Oncology section. You will manage projects and develop pipelines for genomic, pathology, and radiographic data, while supervising trainees.

Ideal candidates bring 2–5 years of related experience, strong Python, Torch and scikit-learn skills, and familiarity with large language models and imaging data.