Full-Time

Principal Scientist

Cell-Free Protein Synthesis & Synthetic Biology

Posted on 9/29/2024

Generate Biomedicines

Generate Biomedicines

201-500 employees

Generates novel medicines using generative biology

AI & Machine Learning
Biotechnology

Senior

Cambridge, MA, USA

Category
Computational Biology
Genomics
Biology Lab & Research
Biology & Biotech
Requirements
  • PhD or equivalent and a minimum of 8+ years of experience in a relevant life sciences field (biophysics, biochemistry, biological engineering, quantitative/synthetic biology, or related discipline); or Master’s degree in a scientific field of study and 14 years of related experience; or Bachelor’s degree in a scientific field of study and 16 years of related experience
  • Demonstrated expertise in protein biochemistry including protein expression, purification, and assessment of protein biophysical properties
  • Deep subject matter expertise and experience with implementation and optimization of cell-free protein synthesis
  • Up-to-date knowledge and understanding of CFPS-relevant literature
  • Demonstrated experience in high-throughput experimental design and laboratory automation
Responsibilities
  • Expand Generate’s efforts to integrate CFPS into our HTP screening and production workflows
  • Lead part of the team efforts to optimize CFPS workflows using both experimental tools (strain engineering, protein biochemistry, synthetic biology) and theory (computational analysis, statistics, and ML-guided optimization)
  • Work together with members of the IDGS team to implement CFPS-based screening workflows involving micro-automation, microfluidics, and microfabricated devices
  • Work with production and analytics teams in the Protein Sciences department to optimize scaled-up workflows and implement characterization of CFPS-produced material
  • Generate bold, creative, unconventional ideas, and be a point person for intellectual property and patent writing
  • Strategic experiment planning, data interpretation, summarization, and presentation with minimal supervision are required
  • Involvement in accelerating the discovery, engineering and characterization of novel biologics in pipeline programs
  • Mentor and train scientists throughout the company
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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