Postdoctoral Associate, Keating Lab
Cambridge, MA - USA
Job Summary
Posting Description
POSTDOCTORAL ASSOCIATE KEATING LAB Biology to join a small collaborative peptide design team working at the interface of computation and experiment. Working closely with the Principal Investigator and a computational Research Scientist the Postdoctoral Associate will serve as the experimental lead on a peptide design campaign that will involve driving the synthesis and testing of designed peptides evaluating early hits with assays developed and run independently and reporting findings to colleagues and collaborators through presentations publications and patents. Results and ideas generated in this role will feed directly into peptide optimization and help refine the design methodology. The Keating Lab is a collaborative and stimulating research environment with strong connections between wet and dry lab bringing together computational biologists building new methods at the interface of structural biology and machine learning and experimentalists studying how proteins recognize their binding partners across a wide range of biological systems.
Job Requirements
REQUIRED: Ph.D. or equivalent terminal degree in Biochemistry Biophysics Structural Biology Chemical Biology or a related field; record of original scholarship (e.g. peer-reviewed publications preprints patents); proven expertiseand success in executing and interpreting in vitro biophysical assays (SPR BLI ITC fluorescence polarization etc.); strong understanding of binding kinetics thermodynamics and macromolecular structure; ability to drive research independently while collaborating effectively within a team and a track record of meeting deadlines; and fluency in English for scientific communication. PREFERRED: Experience working with peptides; peptide modification and unnatural amino acids; and protein or peptide design experience.
8/14/2026
Required Experience:
IC
About Company
The MIT Media Lab is an interdisciplinary research lab that encourages the unconventional mixing and matching of seemingly disparate research areas.