Full-Time

Senior – Scientist

Machine Learning, Active Learning & Bayesian Optimization

Updated on 5/1/2024

Flagship Pioneering

Flagship Pioneering

501-1,000 employees

Generates innovative biotech health and sustainability solutions

Venture Capital

Senior

Cambridge, MA, USA

Required Skills
Python
Communications
Data Science
Tensorflow
Pytorch
Requirements
  • Experience with uncertainty quantification, active learning, and Bayesian Optimization
  • Strong experience in at least one ML framework (PyTorch/TensorFlow/Jax) and robust experience in Python data science ecosystem
  • PhD in Computer Science, Applied Mathematics, quantitative disciplines with strong focus in ML, or related field
  • Strong self-starter and independent thinker
  • Demonstrated industry experience or academic achievement
  • Excellent communication and presentation skills
  • Eager to work with highly skilled and dynamic teams
Responsibilities
  • Design, build and scale supervised ML models for active learning and Bayesian Optimization of materials synthesis and performance
  • Implement best practices and innovate methods for uncertainty quantification
  • Combine datasets of multiple fidelities and sources to power data-driven materials discovery
  • Work with the computational team to identify materials design pathways
  • Work with infrastructure and automation teams to transfer data and predictions
  • Work with the experimental team to drive material discovery and development
  • Cultivate scientific/technical expertise through critical review of ML literature
  • Report findings to stakeholders and leadership

Flagship Pioneering is a biotechnology company that fosters a culture of pioneering by creating platform companies focused on developing transformative human health and sustainability products. This ecosystem includes leaders such as Moderna and Tessera Therapeutics, leveraging cutting-edge biotechnologies to drive significant advancements in their fields. Working at this company offers the opportunity to be at the forefront of biotechnological innovation and to contribute to significant global challenges in health and sustainability.

Company Stage

N/A

Total Funding

$6.4B

Headquarters

Cambridge, Massachusetts

Founded

2000

Growth & Insights
Headcount

6 month growth

8%

1 year growth

22%

2 year growth

51%