Demo

Scientist, Computational Protein Design - Open Level

Flagship Pioneering, Inc.
Cambridge, MA Full Time
POSTED ON 2/26/2025
AVAILABLE BEFORE 5/23/2025

The Company

Flagship Labs 110 Inc. (FL110) is a privately held, early-stage technology company developing a fully integrated, end-to-end platform to enable next generation proteomics.

Our platform integrates groundbreaking innovations in bioengineering, machine learning, and custom microelectronics to offer a level of precision and insight never before achieved. By empowering researchers to explore proteins in unprecedented detail, we are transforming the way biology is understood and applied.

FL110 is backed by Flagship Pioneering, which brings the courage, long-term vision, and resources needed to realize unreasonable results. At FL110, we are uniquely cross-functional and collaborative. We are actively reimagining the way teams work together and communicate. Therefore, we seek individuals with an inclusive mindset and a diversity of thought. Our teams thrive in unstructured and creative environments. All voices are heard because we know that experience comes in many forms, skills are transferable, and passion goes a long way.

If this sounds like an environment you'd love to work in, even if you only have some of the experience listed below, please apply.

The Role :

FL110 is seeking an experienced, creative, and talented Scientist, Computational Protein Design across Scientist, Senior Scientist, and Principal Scientist levels to join our team. Title will be determined by merit and experience level.

You will have prior experience with protein design and engineering, with a deep understanding of biochemical and computational considerations for protein design while having expertise in a high-level programming language such as Python and modern HPC and cloud compute workflows.

This role is critical to advancing our mission to develop novel proteins with specific functionalities using state-of-the-art machine learning algorithms and computational methods. The successful candidate will work closely with biologists, bioinformaticians, and other ML engineers to innovate at the intersection of technology and biology.

Key Responsibilities

  • Develop and apply protein modeling and design strategies to advance the company's platform.
  • Devise, train, refine, and deploy deep neural network models using public and proprietary sequence, structure, and function data.
  • Collaborate closely with experimental scientists to close the model-test-learn loop.
  • Drive external collaborations where necessary to augment internal capabilities.
  • Create, maintain, and update documents for all aspects of the development process as well as contributing to generating intellectual property

Basic Qualifications

  • Ph.D. in Computational Biology, Computer Science, Mathematics, or related discipline.
  • Hands-on experience (3 years) in protein design and engineering, with a deep understanding of biochemical and computational considerations for protein design
  • Expertise with a high-level programming language such as Python and modern HPC and cloud compute workflows
  • Hands-on experience with RosettaFold, RFdiffusion, AlphaFold, or ESMFold
  • Deep structural knowledge of proteins
  • Outstanding written and verbal communication skills, ability to work with colleagues from diverse scientific backgrounds and cultures.
  • Demonstrated ability to work collaboratively with researchers from diverse fields, including computational and experimental biologists, and provide scientific guidance, support as needed
  • Nice-to-haves

  • 5 years of post-doctoral or equivalent industry experience in protein design or related field
  • Strong publication record in protein design and engineering for therapeutic protein applications
  • About Flagship

    Flagship Pioneering is a bioplatform innovation company that invents and builds platform companies, each with the potential for multiple products that transform human health or sustainability. Since its launch in 2000, Flagship has originated and fostered more than 100 scientific ventures, resulting in generation of over 500 patents, initiation of over 50 clinical trials for novel therapeutic agents and an aggregate value of more than $90 billion. Many of the companies Flagship has founded have addressed humanity's most urgent challenges : vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture. Flagship has been recognized twice on FORTUNE's "Change the World" list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies and has been twice named to Fast Company's annual list of the World's Most Innovative Companies. Learn more about Flagship at www.flagshippioneering.com.

    Flagship Pioneering is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

    At Flagship, we recognize there is no perfect candidate. If you have some of the experience listed above but not all, please apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background.

    Recruitment & Staffing Agencies : Flagship Pioneering and its affiliated Flagship Lab companies (collectively, "FSP") do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto.

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