Senior ML Biophysicist: Protein Dynamics AI

Slope; San Francisco (CA); On-site; USD 235,000 - 270,000; Full time

Job summary

A leading biotechnology company in San Francisco seeks a Senior / Principal ML Biophysicist to lead scalable molecular dynamics pipeline development. This role involves integrating physics-based models with machine learning frameworks, collaborating with scientists, and prototyping modeling frameworks. Strong knowledge in deep learning and protein structure modeling is essential. The compensation ranges from $235K to $270K, with equity offerings, in an on-site position within the Bioengineering department.

Qualifications

• Strong grounding in deep-learning and protein-structure modeling.
• Experience with molecular dynamics and machine learning frameworks.
• Ability to write clean, reproducible production-grade code.

Responsibilities

• Lead development of scalable molecular dynamics pipelines.
• Integrate physics-based models with machine learning frameworks.
• Collaborate with wet-lab scientists and define optimization objectives.

Skills

Deep-learning

Protein-structure modeling

Molecular dynamics

Python

PyTorch

Jax

Transfer-learning strategies

Collaborative mindset

Job description

A leading biotechnology company in San Francisco seeks a Senior / Principal ML Biophysicist to lead scalable molecular dynamics pipeline development. This role involves integrating physics-based models with machine learning frameworks, collaborating with scientists, and prototyping modeling frameworks. Strong knowledge in deep learning and protein structure modeling is essential. The compensation ranges from $235K to $270K, with equity offerings, in an on-site position within the Bioengineering department.