AI Research Scientist in Computational Biophysics

Merge; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Merge in San Francisco is looking for a Senior / Principal ML Biophysicist to lead the development of molecular dynamics pipelines. In this role, you will create tools for simulating plant structures, analyze biomolecular dynamics, and drive machine learning frameworks. Ideal candidates will have strong expertise in deep learning and molecular dynamics, proficient in Python and related tools, and a collaborative mindset. Join us in bridging biological and AI technologies for real-world applications.

Qualifications

• Strong grounding in deep learning, protein-structure modeling, and molecular dynamics.
• Working knowledge of transfer-learning strategies.
• Experience bridging machine learning and experimental science.

Responsibilities

• Build scientific and engineering scaffolding for protein structure modeling.
• Collaborate with wet-lab scientists to define optimization objectives.
• Prototype modeling frameworks using datasets and validate performance.

Skills

Deep learning

Protein structure modeling

Molecular dynamics

Python

PyTorch

Jax

Collaboration

Job description

Merge in San Francisco is looking for a Senior / Principal ML Biophysicist to lead the development of molecular dynamics pipelines. In this role, you will create tools for simulating plant structures, analyze biomolecular dynamics, and drive machine learning frameworks. Ideal candidates will have strong expertise in deep learning and molecular dynamics, proficient in Python and related tools, and a collaborative mindset. Join us in bridging biological and AI technologies for real-world applications.