Simplify Logo

Full-Time

Scientist I

Machine Learning

Confirmed live in the last 24 hours

Generate Biomedicines

Generate Biomedicines

51-200 employees

Generates novel medicines using machine learning

AI & Machine Learning
Biotechnology
Healthcare

Mid, Senior

Cambridge, MA, USA

Category
Computational Biology
Biology Lab & Research
Biology & Biotech
Required Skills
Python
R
Data Structures & Algorithms
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.
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

View

Generate Biomedicines focuses on creating new medicines using a method called generative biology, which combines machine learning and biological engineering. This approach involves analyzing millions of proteins to learn how nature encodes their functions, allowing the company to design new medicines with specific therapeutic effects. The main product, The Generate Platform, enables the rapid production of medicines across various therapeutic areas, significantly improving the drug discovery process compared to traditional methods. Unlike its competitors, Generate Biomedicines emphasizes a proactive and efficient approach to medicine creation, aiming to democratize access to biotherapeutics. The company's goal is to expand its capabilities in generating and testing proteins, having already produced 42,000 proteins, and to continue advancing the field of therapeutics.

Company Stage

Series C

Total Funding

$693M

Headquarters

Somerville, Massachusetts

Founded

2018

Growth & Insights
Headcount

6 month growth

5%

1 year growth

15%

2 year growth

44%
Simplify Jobs

Simplify's Take

What believers are saying

  • The recent $273M Series C financing round provides substantial capital to advance their generative AI pipeline and clinical programs.
  • Expansion of the leadership team with experienced professionals like Rupert Vessey, Nancy Simonian, and Kym White strengthens the company's strategic direction and operational capabilities.
  • Publication of the Chroma model in Nature highlights the company's innovative contributions to protein therapeutics, enhancing its reputation in the scientific community.

What critics are saying

  • The reliance on cutting-edge generative AI and machine learning technologies may face regulatory and adoption challenges in the conservative pharmaceutical industry.
  • Rapid expansion and scaling efforts, including new hires and leadership changes, could lead to integration and cultural challenges.

What makes Generate Biomedicines unique

  • Generate Biomedicines leverages generative biology and machine learning to create medicines on demand, a significant departure from traditional drug discovery methods.
  • The Generate Platform's ability to produce novel medicines across multiple therapeutic areas with high speed and success rates sets it apart from competitors.
  • Their focus on understanding the rules by which nature encodes function to design new proteins is a unique approach in the biotechnology sector.