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.
