Scientist, Data Science (Computational Receptor Biology)

TL;DR

Scientist, Data Science (Computational Receptor Biology): Building and curating high‑quality datasets from heterogeneous receptor screening data with an accent on protein and molecular AI to uncover new possibilities in nutrition, health, and beauty. Focus on integrating receptor biology and chemical representations to drive predictive modeling and active learning strategies.

Location: Long Island City, NY

Salary: $100,000–$140,000

Company

A global science-powered company leveraging industrial innovations to shape the future of nutrition, health, and beauty.

What you will do

• Build and curate high‑quality, model‑ready datasets from heterogeneous receptor screening data, including mixtures and natural products.
• Integrate receptor biology, assay context, and chemical representations to support predictive modeling.
• Design robust dataset splits, benchmarks, and evaluation frameworks for reliable model assessment.
• Execute active learning and experimental prioritization strategies to translate model uncertainty into experimental recommendations.
• Collaborate with experimentalists, ML scientists, and physicists to close the data → model → experiment → insight loop.
• Apply modern software development and machine learning tools, maintaining a high level of proficiency in Python.

Requirements

• Masters, Ph.D., or similar experience in Computer Science, Bioinformatics, Chemistry, Structural Biology, AI, or a related field.
• 1+ years of academic or industrial work experience in ingredients or small molecule discovery.
• Strong grounding in receptor biology and functional assay data.
• Hands‑on experience in cheminformatics and bioinformatics, including chemical standardization and annotation.
• Practical experience applying machine learning to real, noisy biological datasets.
• Proficiency in modern ML, Python, code management, and working with CI/CD pipelines.

Culture & Benefits

• Opportunity to work in a multicultural, interdisciplinary team with 2,000 scientists.
• Access to in-house training courses for continuous professional growth.
• Comprehensive total rewards package including annual incentive pay and recognition programs.
• Retirement savings plan and healthcare coverage.
• Paid time off and a commitment to science-based industrial innovation.

Hiring process

• Online application with a resume submitted in English.