Senior ML Scientist: Bio Foundation Models for Genomics

Insilico Search Partners; Massachusetts; On-site; USD 150,000 - 230,000; Full time

Job summary

Insilico Search Partners seeks a Senior/Staff Machine Learning Scientist to lead the core AI research team focused on biological foundation models. You will architect novel DL approaches and train models on large-scale omics data to learn the language of genome biology.

You will collaborate with computational biologists and drug developers to inject biological priors into model design, evaluate scientific validity, and push frontier AI for human health.

Qualifications

• PhD (or equivalent) in Computational Biology, ML, CS, or related field.
• 2+ years post-graduate experience in genomics AI R&D.
• Experience building foundation models (CNNs, Transformers, sequence models).
• Proven ability to train and debug large-scale DL models with PyTorch.
• Experience with large genomic datasets and single-cell data.

Responsibilities

• Lead the creative research, architecture design, and training of biological foundation models on genomic, transcriptomic, and single-cell datasets.
• Collaborate with computational biologists and drug developers to integrate biological priors into model architectures and objectives.
• Rigorously implement, train, debug, and evaluate large-scale models to demonstrate scientific validity.
• Stay current with ML and computational biology advances and identify cross-disciplinary applications.

Skills

PhD equivalent

Genomics AI

Deep learning

PyTorch

Foundation models

Education

PhD in Computational Biology

Tools

PyTorch

Job description

Insilico Search Partners seeks a Senior/Staff Machine Learning Scientist to lead the core AI research team focused on biological foundation models. You will architect novel DL approaches and train models on large-scale omics data to learn the language of genome biology.

You will collaborate with computational biologists and drug developers to inject biological priors into model design, evaluate scientific validity, and push frontier AI for human health.