Lead Machine Learning Scientist - Computational Chemistry

Company: Alldus International Consulting Ltd
Location: San Francisco
Posted on: April 3, 2025

Job Description:

Our client is a growing Biotech startup and they are hiring a Lead Machine Learning Scientist to join the team on a hybrid working model in South San Francisco. The successful candidate will be responsible for applying and implementing machine learning techniques to accelerate the company's unique target-agnostic, multimodal approach to drug discovery.Responsibilities

• Design and develop novel ML models and components for the company's innovative multimodal phenotypic approach to drug discovery.
• Partner with cancer biologists, biostatisticians, and wet-lab specialists to determine product requirements and functionality.
• Process research papers, evaluate & integrate commercial & publicly available frameworks, methods & tools.
• Take proof of concept to implementation and scale them with robust ML engineering pipelines.
• Proactively contribute to the planning of the business roadmap.Skillset
  • 5+ years of post-graduate experience in hands-on development in Machine Learning and deep math-powered principles for drug discovery.
  • Experience in Computational chemistry applied to med-chem MLS development for drug discovery.
  • Experienced with computational chemistry packages.
  • Proficiency in small molecule development including QSAR and ADMET.
  • Strong understanding of ML fundamentals, models, and algorithms.
  • Proficiency in modern AI tech stack, preprocessing data, and strong Pytorch.Benefits
    • Salary: Up to ---250k DOE
    • Equity
    • Comprehensive benefits packageInterested? Apply now in the link below.
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Keywords: Alldus International Consulting Ltd, San Francisco , Lead Machine Learning Scientist - Computational Chemistry, Other , San Francisco, California