Breast Cancer Data Scientist: ML & Genomics Research

University of Chicago; Chicago (IL); Hybrid; USD 70.000 - 100.000; Vollzeit

Zusammenfassung

The University of Chicago is seeking a Data Scientist to lead data science research within the breast cancer program of the Section of Hematology/Oncology. The role focuses on integrating genomic, pathology, and radiographic data and developing reproducible ML pipelines.

Responsibilities include building data frameworks, writing code for data processing, collaborating with researchers, drafting grant proposals, and mentoring trainees while aligning with best practices in machine learning and

Qualifikationen

• Advanced degree in computer science is required or preferred.
• Experience with Python, ML tooling, and data analysis in a research setting is expected.
• Familiarity with Linux/Ubuntu and HPC environments is advantageous.

Aufgaben

• Lead data science research efforts within the breast cancer program.
• Develop frameworks for housing multi-modal clinical data (genomic, pathology, imaging).
• Write, implement, and optimize ML pipelines for data processing and analysis.
• Collaborate with researchers and implement external computational tools.
• Draft grant proposals and develop training materials.

Kenntnisse

Python

Torch

Scikit-learn

Image data

Large language models

Linux/Ubuntu

tmux

SLURM

SSH

Analytical skills

Problem-solving

Communication

Teamwork

Ausbildung

Advanced degree in computer science

Tools

tmux

SLURM

SSH

Jobbeschreibung

The University of Chicago is seeking a Data Scientist to lead data science research within the breast cancer program of the Section of Hematology/Oncology. The role focuses on integrating genomic, pathology, and radiographic data and developing reproducible ML pipelines.

Responsibilities include building data frameworks, writing code for data processing, collaborating with researchers, drafting grant proposals, and mentoring trainees while aligning with best practices in machine learning and