Internship

Machine Learning Intern

Confirmed live in the last 24 hours

Generate Biomedicines

Generate Biomedicines

201-500 employees

Generates novel medicines using generative biology

AI & Machine Learning
Biotechnology

Cambridge, MA, USA

Onsite at our location in Somerville, Massachusetts.

Category
Applied Machine Learning
AI & Machine Learning
Required Skills
Python
Tensorflow
R
Pytorch
NumPy
Requirements
  • Current PhD Student in Applied Math, Computer Science, Computational Biology, Statistics, or a related field is required for this internship
  • Experience with conceiving of, implementing, and developing novel Machine Learning methodology with generative modeling and/or LLM-based workflows
  • Experience with modern deep learning frameworks such as Pytorch, JAX, or Tensorflow
  • Proficiency in Python and experience analyzing data with Numpy/Scipy, R, or similar
Responsibilities
  • Contribute to ML research advancing the state of art in machine learning of sequence, structure, and function, its application to therapeutic generation, and its acceleration with agentic approaches to science
  • Work with a mentor to advance a summer research project while collaborating and developing high-quality code in a cross-functional team
  • Building generative models of protein sequence and structure
  • Modeling protein interactions using generative models
  • Building and evaluating models that predict biophysical properties or drug like properties
  • Learning new representations for proteins
  • Leveraging Generate’s high-throughput functional data to advance protein design
  • Application of generative models to design molecules for real-world drug programs
Generate Biomedicines

Generate Biomedicines

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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, with a commitment to developing innovative therapeutic solutions.

Company Stage

Series C

Total Funding

$674.1M

Headquarters

Somerville, Massachusetts

Founded

2018

Growth & Insights
Headcount

6 month growth

2%

1 year growth

10%

2 year growth

33%
Simplify Jobs

Simplify's Take

What believers are saying

  • Samsung's investment boosts Generate's innovation in AI-driven protein therapeutics.
  • Partnership with Novartis enhances Generate's capabilities in AI-powered protein design.
  • Generative AI trends in drug discovery support Generate's platform advancements.

What critics are saying

  • Intellectual property disputes may arise from collaborations with large entities like Novartis.
  • Technological advancements in AI could outpace Generate's current capabilities.
  • Reliance on high-profile partnerships poses financial risks if expectations aren't met.

What makes Generate Biomedicines unique

  • Generate Biomedicines uses generative biology to revolutionize drug discovery processes.
  • The Generate Platform enables rapid production of medicines across multiple therapeutic areas.
  • The company integrates machine learning with biological engineering for innovative therapeutic solutions.

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