Data Scientist, Materials Discovery

3 weeks ago


Cambridge, Cambridgeshire, United Kingdom Flagship Pioneering Full time
Unlock the Potential of Materials Discovery

At Flagship Pioneering, we're revolutionizing the field of materials discovery with our innovative AI and data-driven approach. We're seeking a highly skilled Data Scientist, Materials Discovery to join our team and contribute to the development of novel materials that can accelerate the transition to a sustainable economy.

Key Responsibilities:
  • Design and build supervised ML models for active learning and Bayesian Optimization of materials synthesis and performance.
  • Combine datasets of multiple fidelities and sources to power data-driven materials discovery.
  • Work with infrastructure and automation teams to transfer data and predictions in real time.
  • Continually cultivate scientific/technical expertise through critical review of ML literature, attending conferences, and developing relationships with key opinion leaders.
Requirements:
  • PhD in Computer Science, Applied Mathematics, or a related field with a strong focus on ML.
  • Strong experience in at least one ML framework (PyTorch/TensorFlow/Jax) and robust experience in Python data science ecosystem (Numpy, SciPy, Pandas, etc.).
  • Demonstrated industry experience or academic achievement.
  • Experience using AWS services.
  • Experience with machine learning integration in experiment workflows.
About Flagship Pioneering:

Flagship Pioneering is a biotechnology company that invents and builds platform companies, each with the potential for multiple products that transform human health or sustainability. We're committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.



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