Computational Biologist - Immunology & Spatial Omics

Our client's team harnesses machine learning to advance drug development and optimize clinical trial design. Their work involves developing cutting-edge multimodal generative models, representation learning techniques, and reinforcement learning applications to extract meaningful insights from imaging and omics data.

Job Title : Computational Biologist – Immunology & Spatial Omics

Location : (Fully onsite) South San Francisco, CA

Type : 3-month contract (Very likely to extend)

Pay Range : $45–$65 / hr+(flexible for the right candidate)

Start Date : ASAP

About the Role :

To establish robust and integrated data-driven analysis frameworks that leverage multimodal data (molecular, cellular, clinical, and imaging) in Inflammatory Bowel Disease (IBD) to enhance decision-making across the research and development pipeline with a focus on target discovery, target prioritization, biomarker discovery, and biomarker development.

Key Responsibilities :

• Develop and optimize ML / AI models (e.g., autoencoders, scVI, transformers) for spatial mapping using scRNA-seq reference atlases
• Integrate spatial and single-cell datasets to support immunology-focused research

Required Qualifications :