About the job
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
Qualifications
Minimum
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
Preferred
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