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Full-Time

AI/ML Engineer

Computational Biology

Confirmed live in the last 24 hours

Flagship Pioneering

Flagship Pioneering

501-1,000 employees

Biotechnology firm creating health and sustainability solutions

Healthcare
Biotechnology

Mid, Senior

Boston, MA, USA

Category
Applied Machine Learning
Deep Learning
AI & Machine Learning
Required Skills
Python
Tensorflow
R
Keras
Pytorch
AWS
Data Analysis
Requirements
  • PhD. or M.S in computational sciences (e.g. computer science, physics, mathematics, computational biology) preferably with applications in biology. Industry experience (2+ for Ph.D. and 5+ for M.S preferred).
  • Experience in applying ML techniques and/or deep learning to one or more of the following: omics data analysis, binder design, building knowledge bases etc. Expertise in at least one deep learning library - PyTorch, Tensorflow, JAX, keras required.
  • Coding experience (Python, Rust, C++, R or other languages) Experience with cloud computing (AWS), MLOps, next-generation-sequencing (NGS), single-cell genomics is a plus.
  • Must have a positive "can do" attitude, be a team player, show excellent judgment as well as work well independently.
  • Strong organizational, analytical, and problem-solving skills.
  • Ability to thrive in a fast-paced, multidisciplinary, and rapidly growing biotech environment.
  • Instinctive team player with excellent communication skills and precise attention to detail.
Responsibilities
  • Develop and maintain novel AI/ML predictive models.
  • Lead the engineering efforts in creating and implementing methodologies and workflows for ML/Generative AI model development, LLM advancements.
  • Use publicly available and proprietary data to build AI pipelines and models for a variety of use-cases including prediction of drug targets and generation of target-binding antibodies.
  • Actively participate in designing experimental approaches to generate relevant data as well as to validate computational insights.
  • Develop computational frameworks to systematically characterize results from machine learning models from a biological perspective and provide feedback on improving the models.
  • Contribute new ideas, strategies, and approaches that further the company's goals.
  • Create concise data visualizations and communicate complex results to an interdisciplinary audience.

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

Simplify Jobs

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.