Full-Time

Scientist I

Machine Learning

Confirmed live in the last 24 hours

Generate Biomedicines

Generate Biomedicines

201-500 employees

Generates novel medicines using generative biology

AI & Machine Learning
Biotechnology

Mid

Cambridge, MA, USA

Category
Applied Machine Learning
Deep Learning
AI Research
AI & Machine Learning
Required Skills
Python
R
Pytorch
NumPy
Requirements
  • PhD in Computational Biology, Computer Science, or a related field with a track record of innovative ML method development for scientific applications
  • 3+ years of experience with developing ML methods to solve scientific problems, with a particular interest towards applications to protein modeling as well as adjacent fields such as genomics, chemistry, immunology, or physics
  • Experience developing, debugging, and scaling models using modern deep learning frameworks such as Pytorch or JAX.
  • Proficiency in Python and experience analyzing data with Numpy/Scipy, R, or similar.
  • Foundational knowledge of probabilistic ML and inference methods
  • Practical experience with developing deep generative models (e.g., language models, diffusion models, EBMs, VAEs, flows, etc.)
  • Domain expertise around protein design, biochemistry, genetics, biophysics, and/or chemistry as well as practical experience working with data in these domains
  • Publications at major scientific venues such as ML conferences or scientific journals that apply ML to advance problems in molecular biology, structural biology, or genetics, especially at the intersection of ML and proteins.
  • Demonstrated experience developing software in a team setting.
  • Experience with optimizing performant code.
Responsibilities
  • Develop foundational generative models and algorithms for designing and reasoning about the sequences, structures, and functions of proteins
  • Scale systems with our extensive GPU resources to maximally leverage protein and biological data, combining all that can be learned from evolution, the scientific literature, and active data acquisition in our proprietary, in-house high throughput assays and Cryo-EM platform
  • Collaborate with wet lab and platform technology teams groups to unlock high-impact therapeutic applications and design novel proteins across diverse therapeutic modalities.
  • Engineer production-grade machine learning systems in conjunction with our Engineering teams for large-scale distributed compute setups and be deployed for design of million-variant+ de novo libraries
  • Present in regular research meetings and prepare materials for broader internal and external communication across disciplines.
  • See your generative models produce real proteins that are built, characterized, and on a path to be life-changing therapies.
Generate Biomedicines

Generate Biomedicines

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Generate Biomedicines focuses on creating new medicines by combining machine learning, biological engineering, and medicine. The company uses a method called generative biology, which involves analyzing millions of proteins to learn how nature encodes their functions. This knowledge allows them to design new medicines with specific therapeutic effects. Their main product, The Generate Platform, enables the rapid production of medicines across various therapeutic areas, making the drug discovery process more efficient compared to traditional methods. Unlike other companies in the biotechnology and pharmaceutical sectors, Generate Biomedicines emphasizes a proactive approach to medicine creation. Their goal is to democratize access to biotherapeutics, and they have already generated and tested 42,000 proteins, with plans for further expansion.

Company Stage

Series C

Total Funding

$674.1M

Headquarters

Somerville, Massachusetts

Founded

2018

Growth & Insights
Headcount

6 month growth

0%

1 year growth

0%

2 year growth

1%
Simplify Jobs

Simplify's Take

What believers are saying

  • Generative AI is enhancing Generate Biomedicines' drug discovery capabilities.
  • Strategic alliances, like with Novartis, leverage AI for drug development.
  • Samsung's investment indicates strong market confidence in Generate Biomedicines.

What critics are saying

  • Intellectual property disputes may arise as the generative biology platform expands.
  • Technological advancements may render current platforms obsolete without continuous innovation.
  • Reliance on partnerships could pose risks if collaborations don't meet expectations.

What makes Generate Biomedicines unique

  • Generate Biomedicines uses generative biology to create protein-based medicines efficiently.
  • The Generate Platform allows rapid production of medicines across multiple therapeutic areas.
  • The company integrates machine learning with biological engineering for innovative drug discovery.

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