Lead Computational Biologist - Machine Learning 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 Computational Biologist to join the team on a hybrid working model in South San Francisco. The successful candidate will enjoy a key role in their AI/Machine Learning team and will develop start of the art multi-omics computational biology methods and ML Models for the company’s unique drug discovery platform.  

Responsibilities

  • Develop Machine Learning methods to generate and evaluate hypothesis for drug development from high content biopharma omics.

  • Work with a team of Bioinformatics, Cheminformatics, Machine Learning Engineers and others to synthesize data, validate methods and functionality.

  • Process research papers, evaluate & integrate commercial & publically available frameworks and methods.

  • Industrialize multi-omics computational approaches and proof of concept to implementation and scale them with robust ML engineering pipelines.

 

Skillset

  • PhD or Master’s degree in Computational Biology, Bioinformatics or similar.

  • Strong knowledge of molecular biology, proteomics and / or genomics.

  • Strong hands-on experience developing Machine Learning methods for omics data.

  • Expertise in current computational tools required to process and analyze a variety of biopharma datasets.

  • Practical understanding of Machine Learning fundamentals, models and algorithms.

  • Expertise in modern AI tech stack.

 

Benefits

  • Salary: Up to €250k DOE

  • Equity

  • Comprehensive benefits package

Interested? Apply now in the link below

46722

Job Tags

Permanent employment,

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