DSM

1 month ago

Scientist, Data Science, Computational Receptor Biology

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Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Data scientist specializing in cheminformatics, bioinformatics and machine learning to advance Computational Receptor Biology. Collaborate with chemists and biologists to map chemosensory receptors, build model-ready datasets, develop predictive models, and guide experiments through data-informed insights in nutrition, health, and beauty.

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Build and curate high‑quality, model‑ready datasets from heterogeneous receptor screening data, including mixtures, natural products, and noisy biological readouts.
•Integrate receptor biology, assay context, and chemical representations to support predictive modeling and biologically meaningful interpretation.
•Design robust dataset splits, benchmarks, and evaluation frameworks (e.g., receptor‑aware, scaffold‑aware, temporal) to ensure reliable model assessment.
•Support and execute active learning and experimental prioritization strategies, translating model uncertainty into concrete experimental recommendations.
•Collaborate closely with experimentalists, ML scientists, physicists, and ingredient modeling partners to close the data → model → experiment → insight loop.

Pay and Benefits

Salary: USD 100,000 - 140,000 annually

Perks:Health InsurancePaid LeaveRetirementLearning

Key Requirements

•Masters, Ph.D. or similar experience in Computer Science, Bioinformatics, Chemistry, Structural Biology, AI, or a related field.
•1+ years of additional academic or industrial work experience in ingredients, or small molecule discovery, ideally in the chemosensory biology field.
•Strong grounding in receptor biology and functional assay data, with the ability to reason about biological relevance beyond raw predictions.
•Hands‑on experience in cheminformatics and bioinformatics, including chemical standardization, annotation, and integration of complex libraries.
•Practical experience applying machine learning to real, noisy biological datasets, including uncertainty‑aware or baseline predictive models.

Experience:CheminformaticsBioinformaticsReceptor biologyComputational biology

Education:PhD / Doctorate

Skills:PythonMachine learningCi/cdData scienceData preprocessing

Tech Stack:PythonCI/CDMachine learningCheminformaticsBioinformatics

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

Website LinkedIn

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DSM