Senior ML Scientist: Receptor Biology & Molecules

dsm-firmenich; New York (NY); On-site; USD 132,000 - 158,000; Full time

Benefits offered by this job

Health care coverage

Paid time off

Retirement savings plan

Annual incentive pay

Job summary

DSM-Firmenich AG is seeking a Senior Scientist in Computational Receptor Biology and Machine Learning to advance deep learning models for receptor–ligand interactions on-site in Long Island City, NY or San Diego, CA. The role involves designing geometric, probabilistic, and generative models, and scaling training across GPUs with strong collaboration with chemists and biologists.

The position requires a Ph.D. or equivalent, 3–7 years of related experience, and expertise in PyTorch or JAX.

Qualifications

• Ph.D. or equivalent in a related field.
• 3–7 years of academic or industry experience developing novel architectures or training paradigms.
• Deep expertise in ML, applied mathematics, or physics-inspired modeling.

Responsibilities

• Lead development of advanced deep learning models grounded in geometry, physics, and probabilistic reasoning for receptor–ligand problems.
• Design and adapt equivariant, multimodal, and generative architectures for structured molecular data.
• Own scalable model training distributed across GPUs, with rigorous evaluation and reproducibility.
• Translate ML ideas into practical receptor-aware tools in collaboration with domain experts.

Skills

Deep ML

Geometry & symmetry

Probabilistic modeling

Learning dynamics

Cross-disciplinary collaboration

Education

Ph.D. or equivalent

Tools

PyTorch

JAX

Job description

DSM-Firmenich AG is seeking a Senior Scientist in Computational Receptor Biology and Machine Learning to advance deep learning models for receptor–ligand interactions on-site in Long Island City, NY or San Diego, CA. The role involves designing geometric, probabilistic, and generative models, and scaling training across GPUs with strong collaboration with chemists and biologists.

The position requires a Ph.D. or equivalent, 3–7 years of related experience, and expertise in PyTorch or JAX.