Senior Scientist, Computational Receptor Biology & Machine Learning - Long Island City, NY

DSM
San Diego
Workplace: OnsiteFull timeUSD 132,000 - 158,000 annuallyFunction: Data Science & Machine LearningEducation: phdSkills: ["Technical leadership","Mentorship","Cross-functional collaboration","Learning agility","Domain collaboration"]

Develop advanced machine learning models for protein–ligand interaction modeling within a Data Science Computational Receptor Biology team. Lead deep learning research grounded in geometry, physics, and probabilistic reasoning, designing equivariant, multimodal, and generative architectures (diffusion/flows) for structured molecular data. Own scalable distributed training on GPUs and deliver rigorous, reproducible evaluation to accelerate discovery. Provide technical leadership and mentorship while collaborating with experimentalists, physicists, chemists, and ingredient modeling partners.

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DSM
DSM
1 month ago

Senior Scientist, Computational Receptor Biology & Machine Learning - Long Island City, NY

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Job Summary

Develop advanced machine learning models for protein–ligand interaction modeling within a Data Science Computational Receptor Biology team. Lead deep learning research grounded in geometry, physics, and probabilistic reasoning, designing equivariant, multimodal, and generative architectures (diffusion/flows) for structured molecular data. Own scalable distributed training on GPUs and deliver rigorous, reproducible evaluation to accelerate discovery. Provide technical leadership and mentorship while collaborating with experimentalists, physicists, chemists, and ingredient modeling partners.
Location: San Diego
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Lead development of advanced deep learning models grounded in geometry, physics, and probabilistic reasoning for receptor–ligand interaction problems.
  • •Design and adapt equivariant, multimodal, and/or generative architectures (e.g., diffusion, flows) for structured molecular and biological data.
  • •Own scalable distributed model training across GPUs, including evaluation and iteration workflows with rigor and reproducibility.
  • •Translate foundational ML ideas into receptor-aware modeling tools in collaboration with domain experts.
  • •Provide technical leadership and mentorship while partnering cross-functionally with experimentalists, physicists, chemists, and ingredient modeling partners.

Pay and Benefits

Salary: USD 132,000 - 158,000 annually
Perks:Health InsurancePaid LeaveRetirement Savings

Key Requirements

  • •Ph.D. or equivalent experience in Computer Science, Mathematics, Physics, Computational Biology or a related field.
  • •3-7 years of additional academic or industry experience developing novel architectures or training paradigms.
  • •Deep expertise in ML, applied mathematics, or physics-inspired modeling with intuition for geometry, symmetry, probabilistic inference, and learning dynamics.
  • •Hands-on experience with modern deep learning frameworks (PyTorch and/or JAX) and ability to build non-trivial models for structured or geometric data.
  • •Familiarity with generative or probabilistic modeling approaches (e.g., diffusion, flows, score-based models, uncertainty estimation) and ability to learn new scientific domains quickly.
Experience:Computational biologyMachine learningDeep learningProtein-ligand modelingReceptor biology
Education:PhD / Doctorate
Skills:Technical leadershipMentorshipCross-functional collaborationLearning agilityDomain collaboration
Tech Stack:Machine LearningDeep learningDistributed trainingGPUsPyTorchJAXDiffusionFlowsScore-based modelsUncertainty estimation

Company Brief

DSM
DSM-Firmenich is a global leader in food ingredients, nutrition, fragrances and beauty solutions, formed by the merger of DSM and Firmenich to provide sustainable, science-driven products and services across food, health and personal care industries.
Industry: Chemical Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Headquarters: Geneva, Switzerland
Founded: 2023
WebsiteLinkedIn