Machine Learning Scientist

3 weeks ago

London, United Kingdom Hlx Life Sciences Full time

Role

Join our leading-edge machine learning team as a Machine Learning Scientist and play a pivotal role in pioneering machine learning solutions for genetic data interpretation. Our team is at the forefront of developing experimentally validated machine learning methodologies, transforming biobank-scale genetics data (from genotyping arrays to whole genome sequence) into actionable disease risk genes for drug discovery. Leveraging data from external biobanks like the UK Biobank (UKB) and our proprietary Osteomics clinical trial, we're unlocking new frontiers in genetics.



Responsibilities

  • Efficiently collaborate in a team of 3-10, delivering projects using the latest ML methods and modern engineering practices.
  • Work closely with bioinformaticians and experimental scientists, translating ML methods for drug development and computational biology.
  • Contribute creative input to ML projects, adhering to Relation's AI standards and ways of working.
  • Actively engage in ML research within the broader community, publishing papers at major conferences and contributing to technical blogs.
  • Stay at the cutting edge of ML research, specialising in chosen subfields like probabilistic/causal ML, graph NNs, and NLP.

Requirements

  • A BSc in machine learning, computer science, or other quantitative discipline; or equivalent industrial experience and preferably a PhD in machine learning, computer science, or another quantitative discipline.
  • Deep expertise in contemporary AI/ML methods and topics, including computer vision, NLP, structured data, probabilistic/causal ML, normalising flows, etc.
  • Experience with biological/health/chemical data
  • A proven track record of excellence in machine learning research including conference papers / presentations at NeurIPS/ICML/ICLR
  • Track record of collaborating successfully with AI engineering teams to deliver complex modelling projects
  • Experience as a proficient Python developer (2 - 5 years of industrial experience); must be familiar with modern software engineering practices and the use of modern collaborative tools (e.g. GitHub, Slack, Jira, Trello, etc.)
  • Experience in at least one major machine learning platform; preferably PyTorch (although TensorFlow is acceptable)
  • Industry experience or equivalent post doctoral experience required post academia .

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