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Full-Time

Data Scientist I

Computational Protein Generation

Posted on 6/18/2024

Generate Biomedicines

Generate Biomedicines

51-200 employees

Generates novel medicines using machine learning

AI & Machine Learning
Biotechnology

Mid

Cambridge, MA, USA

Category
Data Science
Data Analysis
Data & Analytics
Required Skills
Python
Requirements
  • Advanced degree in a quantitative / scientific field (e.g. MS or PhD)
  • 4+ years’ experience working in a Data Scientist related role or recent PhD graduate
  • Results-driven, high-performer with highly collaborative style
  • Excellent interpersonal, oral, and written communication skills
  • Expertise in core statistical and analytical methods
  • Well versed in machine learning fundamentals. Experience with deep learning frameworks is desired.
  • Extensive experience with production-grade programming in Python
  • Experience in healthcare, biology and/or biotechnology highly preferred
Responsibilities
  • Develop tools to extract and analyze data from multiple production systems.
  • Create presentations, dashboards, and reports to inform teams and organizational leadership about trends in protein design production.
  • Conduct comprehensive analyses of the team's protein design process to identify opportunities and bottlenecks, advocating for changes based on data-driven insights.
  • Lead cross-functional initiatives to steer the team’s direction through data-driven decision making.
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, 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

3%

1 year growth

15%

2 year growth

41%
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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.

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