Bioinformatics AI Scientist

Contract Opportunity: Bioinformatics & AI Scientist – Oncology Focus

We are seeking a contract Bioinformatics/AI Scientist for a leading biotech organization. This individual will work at the intersection of bioinformatics, machine learning, and oncology research, contributing to the development and benchmarking of cutting-edge AI models in biomedical data analysis.

Location:

Remote (U.S. or Canada) or On-site in South San Francisco, CA

Must be available to work during Pacific Time business hours

Contract Duration:

Full-time through December, 2025

Core Requirements:

PhD in Bioinformatics, Computational Biology, Computer Science, or a closely related discipline

At least 6 years of hands-on experience in large-scale data processing (RNA-seq, WES), applying both traditional and advanced bioinformatics techniques

Minimum 3 years of experience implementing and training machine learning models on omics data

Deep understanding of cancer biology and/or clinical omics datasets

Strong coding abilities in Python and shell scripting

Proficiency with Git and high-performance computing environments

Self-driven and results-oriented, capable of independently managing analyses and meeting project deadlines

Excellent interpersonal and communication skills

A strong curiosity for AI applications in pharma and a willingness to learn and innovate

Role Responsibilities:

Collaborate with computational biology teams to evaluate AI/ML models across diverse preclinical and clinical multi-omics datasets

Develop robust, scalable Python pipelines for benchmarking model performance on defined biomedical tasks

Generate clear, insightful reports to communicate model effectiveness and propose optimization strategies

Contribute to the standardization of workflows, ensuring reproducibility and rigor in analysis

Provide feedback and suggest new directions to refine and enhance predictive modeling approaches

This is an exciting opportunity for a driven scientist to apply their skills in AI and bioinformatics to real-world clinical challenges in oncology. If you're passionate about science, data, and discovery, we’d love to hear from you.