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Lead Machine Learning Engineer (Knowledge Enrichment) - Remote

Posted 28 weeks ago
Software Development
Full Time
United Kingdom

Overview

We are looking for a Lead Machine Learning Engineer to join our new Knowledge Enrichment team at BenchSci.

In Short

  • Design and implement ML-based approaches to analyze biomedical data.
  • Work with experimental protocols and heterogeneous data sources.
  • Enrich BenchSci’s knowledge graph through classification and discovery.
  • Predict novel insights and hypotheses using ML techniques.
  • Collaborate with team members on state-of-the-art ML and graph ML algorithms.
  • Push the boundaries of ML/AI in a fail-fast environment.
  • Focus on value delivery and challenging the status quo.

Requirements

  • Experience in machine learning and data science.
  • Familiarity with biomedical data and knowledge graphs.
  • Ability to work in a collaborative team environment.
  • Strong problem-solving skills.
  • Comfortable with cutting-edge ML/AI technologies.

Benefits

  • Opportunity to work on innovative projects.
  • Collaborative and dynamic work environment.
  • Focus on professional growth and development.
BenchSci logo

BenchSci

BenchSci is dedicated to accelerating life-saving research and development through its advanced biomedical artificial intelligence software platform. The company empowers scientists to conduct more successful experiments, serving 16 of the top 20 pharmaceutical companies and over 4,300 leading academic centers. Backed by prominent investors, including Generation Investment Management and Google's AI fund, BenchSci is recognized as a certified Great Place to Work® and is highly rated on Glassdoor. The company fosters a culture of transparency, collaboration, and continuous learning, prioritizing the well-being and growth of its team members while promoting diversity, equity, and inclusion.

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