(Senior) Scientist, ML/AI Antibody Design
Flagship Pioneering IncBoston, MA USA$115k – $259kPosted 12 March 2026
Job Description
Company Summary:
FL106 Inc., is a privately held, early-stage biotechnology company focused on developing novel drug delivery modalities. FL106 is backed by Flagship Pioneering, bringing the vision and resources to guide FL106 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 FL106’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 FL106 design principles
Advance both antibody engineering and de novo antibody design pipelines
Collaborate closely with the FL106 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 FL106, 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.flagship ... (truncated, view full listing at source)
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