The Polizzi lab at Dana-Farber and Harvard Medical School seeks to understand molecular recognition through the lens of protein design. We develop computational algorithms to build small-molecule-binding proteins from scratch and experimentally characterize our designed proteins in the lab (see, e.g., Polizzi and DeGrado, Science 2020). We aim not only to unlock the design principles used by proteins for molecular recognition but also to make useful proteins for probing and manipulating biology.
A postdoctoral fellow position is available to develop deep-learning methods for the design of small-molecule-binding proteins. The ideal candidate will have a strong background in machine learning or deep learning, with an emphasis in computational biology.?? Candidates with a background that encompasses both dry- and wet-lab expertise are also encouraged to apply.
The Polizzi lab has curated large datasets uniquely appropriate to training neural networks for protein???ligand binding-site design, and we are excited to push this aspect of the work forward.?? Working in the group provides an additional advantage that we experimentally test our computational predictions in house, the results of which validate and help improve our models.?? Furthermore, we collaborate with a host of leading researchers at Harvard and MIT to focus our efforts on ground-breaking biological and biomedical applications.
Our lab at Dana-Farber???s Longwood Center has access to state-of-the-art facilities, including for cryo-EM, X-ray crystallography, flow cytometry, and high-performance computing. We are part of a highly collaborative, interdisciplinary environment within the Chemical Biology program at the Dana-Farber Cancer Institute and the Department of Biological Chemistry and Molecular Pharmacology at Harvard Medical School.??
Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.
The successful applicant will be responsible for:
Developing deep-learning methods for ligand-binding protein design
Contributing to and maintaining code repositories in our lab???s github
Interfacing with experimentalist coworkers for validation of computational predictions
A Ph.D. or equivalent doctoral degree in biophysics, biochemistry, computer science, physics, chemistry or related fields
At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong.?? As relentless as we are in our mission to reduce the burden of cancer for all, we are equally committed to diversifying our faculty and staff.?? Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply.
Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other groups as protected by law.
Located in Boston and the surrounding communities, Dana-Farber Cancer Institute brings together world renowned clinicians, innovative researchers and dedicated professionals, allies in the common mission of conquering cancer, HIV/AIDS and related diseases. Combining extremely talented people with the best technologies in a genuinely positive environment, we provide compassionate and comprehensive care to patients of all ages; we conduct research that advances treatment; we educate tomorrow's physician/researchers; we reach out to under-served members of our community; and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.