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Full-Time

Senior – Scientist

Machine Learning, Active Learning & Bayesian Optimization

Confirmed live in the last 24 hours

Flagship Pioneering

Flagship Pioneering

501-1,000 employees

Biotechnology firm creating health and sustainability solutions

Biotechnology
Healthcare

Senior

Cambridge, MA, USA

Category
Applied Machine Learning
Deep Learning
AI & Machine Learning
Required Skills
Python
Data Science
Tensorflow
Pytorch
Pandas
NumPy
Requirements
  • Experience with uncertainty quantification, active learning and Bayesian Optimization
  • Experience implementing, evaluating, and hyperparameter tuning small and large supervised models in a Bayesian Optimization context (Gaussian processes, Bayesian Neural Networks) on small and large datasets.
  • Strong experience in at least one ML framework (PyTorch/TensorFlow/Jax) and robust experience in Python data science ecosystem (Numpy, SciPy, Pandas, etc.)
  • Experience using a cloud computing service to reduce runtime to train and evaluate deep learning models
  • PhD in Computer Science, Applied Mathematics, quantitative disciplines with strong focus in ML, or related field
  • Strong self-starter and independent thinker, with strong attention to detail
  • Demonstrated industry experience or academic achievement
  • Excellent communication and presentation skills, capable of conveying technical information in a clear and thorough manner
  • Eager to work with highly skilled and dynamic teams in a fast-paced, entrepreneurial, and technical setting
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 that target desired functional properties and their synthesis
  • Work with infrastructure and automation teams to transfer data and predictions in real time
  • Work with the experimental team to drive material discovery and development, and build domain-specific acquisition functions.
  • Continually cultivate scientific/technical expertise through critical review of ML literature, attending conferences, and developing relationships with key opinion leaders
  • Report findings to stakeholders and leadership in written reports and verbal presentations.

Flagship Pioneering fosters a culture of groundbreaking advancements in biotechnology, emphasizing an ecosystem approach that synergizes human health and sustainability. Their business model not only focuses on creating transformative products but also incubates leading companies like Moderna and Indigo Agriculture, positioning them at the forefront of scientific innovation and industry leadership. This approach offers employees a unique opportunity to be part of a pioneering team that drives real-world impacts across multiple sectors.

Company Stage

N/A

Total Funding

$6.4B

Headquarters

Cambridge, Massachusetts

Founded

2000

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Simplify's Take

What believers are saying

  • Flagship's recent $3.6 billion raise will support the creation of 25 new breakthrough companies, offering substantial growth opportunities.
  • The firm's track record of founding over 100 biotechnology companies, including industry leaders like Moderna, highlights its potential for high-impact innovation.
  • Key leadership appointments and promotions, such as Lovisa Afzelius to General Partner, strengthen Flagship's strategic direction and operational capabilities.

What critics are saying

  • The ambitious goal of creating 25 breakthrough companies may stretch resources and focus, potentially impacting the quality of each venture.
  • Heavy reliance on AI and advanced computational techniques could face technological and regulatory hurdles, slowing down progress.

What makes Flagship Pioneering unique

  • Flagship Pioneering's focus on creating and developing breakthrough companies in human health, sustainability, and AI sets it apart from traditional venture firms.
  • Their significant capital pool of $10.9 billion and $14 billion in assets under management provides unparalleled financial backing for innovative ventures.
  • Flagship's unique approach to leveraging generative AI for drug discovery and development accelerates the creation of transformative technologies.

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