Lead Machine Learning Scientist - Computational Chemistry Job at Alldus International Consulting Ltd, San Francisco, CA

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  • Alldus International Consulting Ltd
  • San Francisco, CA

Job Description

Our client are 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 to apply and implement 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 developing including, QSAR and ADMET.

  • Strong understanding of ML Fundamentals, models and algorithms.

  • Proficiency in Modern AI Tech stack, preprocessing data, strong Pytorch.

Benefits

  • Salary: Up to €250k DOE

  • Equity

  • Comprehensive benefits package

Interested? Apply now in the link below

46724

Job Tags

Permanent employment,

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