(Senior) Scientist, ML/AI Antibody Design at Flagship Pioneering, Inc.

Boston, Massachusetts, United States -

Full Time

Start Date

Immediate

Expiry Date

17 Mar, 26

Salary

258500.0

Posted On

17 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Computational Protein Design, AI/ML Tooling, Antibody Engineering, Protein Modeling, Structural Biology, Biophysics, Machine Learning, Directed Evolution, Phage Display, SPR, ITC, CD-Spectroscopy, Team Collaboration, Communication Skills, Attention to Detail, Strategic Thinking

Industry

Biotechnology Research

Description

Company Summary: FL108 Inc., is a privately held, early-stage biotechnology company focused on developing novel protein-based delivery modalities. FL108 is backed by Flagship Pioneering, bringing the vision and resources to guide FL108 from platform validation to real-world solutions that meaningfully improve patient care. Position Summary: We are seeking a passionate, creative, and self-driven (senior) scientist with expertise in computational protein design and state of the art AI/ML tooling for antibody and protein design to join our team. This candidate will pioneer the design of novel protein-based delivery modalities and collaborate with the experimental teams to test and iterate on computational designs. S/he will thrive in an entrepreneurial, fast-paced, and highly collaborative start-up environment, with the opportunity to work closely with Flagship Pioneering founders and become a leader in advancing FL108’s scientific platform and patient-focused mission. Responsibilities: Drive the AI/ML computational protein design Engage with Pioneering Intelligence at Flagship to explore and implement novel ML models that benefit FL108 design principles Advance both antibody engineering and de novo antibody design pipelines Collaborate closely with the Fl108 experimental scientists to test and iterate on constructs Engineer novel functionalities into protein scaffolds, leveraging structural modeling, rational design, and/or directed evolution Be abreast of the computational protein design field to advise design and strategic directions for protein engineering, implementing the latest technologies where necessary Contribute to strategic direction of the computational team at FL108, helping shape our design platform at the forefront of scientific innovation Identify and lead external research relationships with academic and commercial partners Report results to scientific team and Flagship Pioneering management Key Qualifications: Ph.D. (with 2+ yrs of industry research experience) in computational protein design, protein biochemistry, computational biophysics, computational biology, physics, or related field Expertise in computational protein modeling and design, structural biology, and biophysics is required Deep expertise with ML tools for computational protein design such as AlphaFold, RosettaFold, ESMFold, ProteinMPNN, RFDiffusion, Chroma, IgFold, DeepAb, Parapredis is required Experience with antibody and/or nanobody modeling and design is strongly preferred. Knowledge of critical wet-lab techniques used in protein engineering such as phage display, SPR, ITC, CD-spectroscopy is preferred Strategic thinker, able to shift seamlessly between rigorous scientific details and high-level context and implications Instinctive team player with excellent communication skills and great attention to detail 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. The salary range for this role is $115,000 - $258,500. Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. FL108 currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on FL108's good faith estimate as of the date of publication and may be modified in the future.

Responsibilities

Drive the AI/ML computational protein design and collaborate with experimental teams to test and iterate on designs. Engineer novel functionalities into protein scaffolds and contribute to the strategic direction of the computational team.