Computational Biologist, Spatial Omics (Hybrid NYC)

Biohub; New York (NY); Hybrid; USD 153,000 - 191,000; Full time

Benefits offered by this job

Hybrid work model

Relocation support

Paid time off to volunteer

Job summary

Biohub in New York, NY, is seeking a highly collaborative Computational Biologist to analyze imaging-based multi-omics data from endogenous and engineered immune cells. You will shape studies, design analytical strategies, and drive projects from planning to publication in a hybrid, on-site role.

PhD in a related field with 2+ years of AI/ML experience and strong Python/R skills are required. You will work with immune biology and machine learning to advance spatial omics, contributing to open

Qualifications

• PhD in Computational Biology, Computer Science, Biomedical Engineering, or closely related field.
• Minimum 2 years of experience in developing AI/ML-based computational frameworks.
• Strong programming skills in Python, R, or comparable environments.
• Solid foundation in cell biology and genomics.
• Ability to independently design rigorous computational frameworks and drive projects.

Responsibilities

• Lead computational analysis of multiplexed imaging and spatial omics datasets.
• Develop AI/ML approaches to extract interpretable principles from data.
• Build models predicting molecular states from imaging and multimodal data.
• Collaborate with experimental scientists to plan studies and benchmarks.
• Develop robust, scalable analysis pipelines and software.
• Contribute to design/evaluation of synthetic receptors and other components.

Skills

Python

R

AI/ML

Collaboration

Scientific communication

Education

PhD in Computational Biology

Job description

Biohub in New York, NY, is seeking a highly collaborative Computational Biologist to analyze imaging-based multi-omics data from endogenous and engineered immune cells. You will shape studies, design analytical strategies, and drive projects from planning to publication in a hybrid, on-site role.

PhD in a related field with 2+ years of AI/ML experience and strong Python/R skills are required. You will work with immune biology and machine learning to advance spatial omics, contributing to open