Computational Biologist - Immunology & Spatial Omics

Job Description

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:

• PhD in computational biology, bioinformatics, or related field with 3–5 years of relevant experience
• Strong background in immunology & computational biology – in depth knowledge of IBD pathogenesis, relevant immune pathways and current therapeutics landscape.
• Experience applying AI/ML methods to analyze multimodal omics
• Expertise in immunology is required, expertise in IBD
• Must be authorized to work in the U.S. without sponsorship needed.