Senior Director, Bioinformatics - Oncology Data Science

Summit-Therapeutics; Palo Alto (CA); On-site; USD 217,000 - 271,000; Full time

Job summary

Summit Therapeutics Inc. is seeking a Senior Director of Bioinformatics to provide scientific and operational leadership across discovery, translational research and biomarker programs.

You will coordinate genomic, transcriptomic, proteomic, spatial and imaging data to guide target identification, patient stratification, and companion diagnostic development. The role partners with Translational Medicine, Clinical Development and Biomarkers teams to shape long-term data strategy and leverage

Qualifications

• PhD in bioinformatics, computational biology, genetics, genomics, computer science or related field.
• Minimum of 15+ years of relevant industry experience in biotechnology or pharma.
• Strong track record supporting oncology or related therapeutic programs.
• Experience with biomarker strategies across drug development stages.
• Familiarity with FDA/EMA regulatory expectations for biomarker data.

Responsibilities

• Lead translational research and biomarker development initiatives.
• Strategize and lead bioinformatics across discovery, translational and clinical programs.
• Drive machine learning and AI-based biomarker discovery and predictive modeling.
• Collaborate with cross-functional teams and external partners.
• Ensure governance, reproducibility, quality control, and regulatory compliance for data.

Skills

Bioinformatics

Leadership

Data analysis

Machine learning

Python

R

NGS analysis

Multiomics

Spatial biology

Clinical biomarkers

Education

PhD in Bioinformatics or related field

15+ years in biotech/pharma

Tools

Cloud computing

AI/ML platforms

Data visualization

Job description

Summit Therapeutics Inc. is seeking a Senior Director of Bioinformatics to provide scientific and operational leadership across discovery, translational research and biomarker programs.

You will coordinate genomic, transcriptomic, proteomic, spatial and imaging data to guide target identification, patient stratification, and companion diagnostic development. The role partners with Translational Medicine, Clinical Development and Biomarkers teams to shape long-term data strategy and leverage