Principal Data Scientist

3 days ago

Hinxton, United Kingdom Wellcome Sanger Institute Full time
About the Role

We are seeking a highly skilled and experienced Principal Data Scientist to join our team at the Wellcome Sanger Institute. As a key member of our AI/ML Faculty group, you will play a critical role in advancing our understanding of life's rules and improving health for all.

Your primary responsibility will be to design and develop foundational models leveraging multi-modal readouts. This will involve integrating and processing data from various sources to develop robust and versatile AI models. You will work with open-source software, proposing, developing, and maintaining new solutions to analyze and interpret large-scale single-cell datasets.

We have access to unique data and are also in the position to generate data to train unique models. Additionally, we have substantial computational power and GPU resources to train large models efficiently.

As a Principal Data Scientist, you will be responsible for:

  • Independently managing and leading machine learning research projects and writing outcomes in a scientific publication for submission to journals or machine learning conferences.
  • Collaborating with team members to propose, develop, and evaluate new machine learning models that enable understanding single-cell data and its application in drug discovery.
  • Working with Ph.D. students and postdocs in collaborating teams on developing solutions for interdisciplinary scientific problems in biology, providing supervision and training to junior members of the team.
  • Contributing to writing scientific papers on biotechnology and biology.
  • Distilling your developed solutions into open-source and easy-to-install packages with documentation that facilitates the usage of your solution for downstream users, including biologists and bioinformaticians.
  • Presenting your research and analysis pipelines to internal and external audiences.

We are looking for a candidate with a strong background in machine learning and a proven track record of delivering high-quality research projects. You should have expertise in designing, training, and deploying ML models, as well as experience with high-performance computing environments and natural language processing.

The ideal candidate will have a Ph.D. or M.Sc. with equivalent research experience in a relevant quantitative discipline, such as Computer Science, Computational Biology, Genetics, Bioinformatics, Physics, Engineering, or Applied Statistics/Mathematics. You should also have a strong publication record, with first author position ideal.

We offer a dynamic and collaborative work environment, with opportunities for professional development and growth. You will be supported in your personal and professional development and have the opportunity to lead peer-reviewed publications around using genetics and genomics approaches to guide drug discovery and present them at national and international conferences.

Key Responsibilities:

  • Design and develop foundational models leveraging multi-modal readouts.
  • Integrate and process data from various sources to develop robust and versatile AI models.
  • Work with open-source software to propose, develop, and maintain new solutions to analyze and interpret large-scale single-cell datasets.
  • Collaborate with team members to propose, develop, and evaluate new machine learning models.
  • Work with Ph.D. students and postdocs to develop solutions for interdisciplinary scientific problems in biology.
  • Contribute to writing scientific papers on biotechnology and biology.
  • Distill developed solutions into open-source and easy-to-install packages.
  • Present research and analysis pipelines to internal and external audiences.

Requirements:

  • Ph.D. or M.Sc. with equivalent research experience in a relevant quantitative discipline.
  • Strong background in machine learning and a proven track record of delivering high-quality research projects.
  • Expertise in designing, training, and deploying ML models.
  • Experience with high-performance computing environments and natural language processing.
  • Strong publication record, with first author position ideal.

What We Offer:

  • A dynamic and collaborative work environment.
  • Opportunities for professional development and growth.
  • Support in personal and professional development.
  • Opportunity to lead peer-reviewed publications and present at national and international conferences.

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