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pytorch genomics foundation models mlflow huggingface transformers📋 Description
- Lead the application of genomic foundation models to translational questions.
- Provide technical autonomy across initiatives; hands-on model development.
- Collaborate with AI scientists, translational science, bioinformatics, and clinicians.
- Ensure foundation models deliver biologically grounded and clinically meaningful insights.
- Lead post-training of foundation models for biomarker discovery and therapy response.
🎯 Requirements
- PhD in computational biology, bioinformatics, CS, or related field.
- 5+ years applying ML to genomic, biological, or clinical data.
- Deep experience with foundation models and representation learning.
- Strong PyTorch proficiency.
- Experience with HuggingFace Transformers, PEFT, Captum, MLflow.
- Ability to translate ML outputs into biological insight or clinical value.
🎁 Benefits
- Medical, dental, vision, life and disability plans.
- Fertility care benefits and free testing for dependents.
- 401k with company matching and commuter benefits.
- Employee referral program.
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