Principal Scientist, Protein Sciences

Company SummaryFlagship Labs 97 Inc. (FL97) is a privately held, early-stage technology company pioneering the application of artificial intelligence to transform every aspect of the scientific method. FL97 is backed by Flagship Pioneering, which brings the courage, long-term vision, and resources needed to realize unreasonable results. Join our mission-driven team and contribute to the future of science.Our Life Sciences effort is leveraging AI and high-throughput automation for valuable therapeutic discovery and development across biological modalities.At FL97, 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 RoleFL97 is seeking a dedicated and skilled

Principal Scientist, Protein Sciences

to join our team. The role will focus on peptide or antibody production, discovery, and engineering through hit optimization and lead identification. Familiarity with AI-guided protein design is a plus, and experience in leading teams and utilizing automated systems to assay therapeutic properties is a must.Responsibilities Include:Lead and manage projects focused on peptide or antibody production, discovery, and engineering.Optimize hits and identify leads for therapeutic development.Utilize automated systems to assay protein binding, kinetics, and other therapeutic properties.Collaborate with cross-functional teams to integrate AI-guided protein design into the discovery process.Mentor and guide junior scientists and team members.Stay current with the latest scientific advancements and integrate new techniques and technologies into the research workflow.Qualifications:Ph.D. in Biochemistry, Molecular Biology, or a related field.9-10 years of experience in peptide or antibody production and engineering.Previous experience with mammalian cell-based protein production and functional assays.Proficiency in using high-throughput automated systems for assaying therapeutic properties and functions is required.Experience with AI-guided protein design is highly desirable.Experience with Python programming is highly desirable.Strong leadership skills with experience in managing and mentoring scientific teams.Excellent communication and collaboration skills.Ability to thrive in a fast-paced, innovative, and collaborative environment.Working at FL97, you would have access to advanced technology in the areas of:AI experimental design and simulationAutomated instrumentationGenerative molecular designAbout FlagshipFlagship Pioneering is a platform 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 more than $90 billion in aggregate value. 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 and our ecosystem companies are

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.

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