Postdoctoral Researcher in Computational Biophysics: The Computational Biophysics Lab at the Department of Physiology and Biophysics, Weill Cornell Medicine, New York City, seeks talented and highly motivated postdoctoral researchers with outstanding research credentials. Our lab aims to uncover dynamic and allosteric mechanisms of cell surface proteins in fundamental biological processes using a combination of computer simulations and Artificial Intelligence/Machine Learning approaches. This mechanistic knowledge guides translational aims related to rational drug design.
Designation:
Postdoctoral Researcher
Research Area:
Computational Biophysics, Structural Biology, Artificial Intelligence/Machine Learning
Location:
Weill Cornell Medicine, New York City, NY
Eligibility/Qualification:
- Ph.D. degree in Physics, Chemistry, Biophysics, Theoretical or Computational Chemistry, Computational Biology, or a related discipline.
- Strong background in computational biology and HPC computing.
- Expertise in molecular dynamics simulations of protein-membrane systems, including setup, execution, and trajectory analysis.
- Proficiency in molecular docking and homology modeling.
- Knowledge of advanced enhanced sampling techniques and computational methods for free energy calculation from molecular dynamics simulations.
- Familiarity with machine learning approaches.
- Strong programming skills and analytical abilities.
Job Description:
The postdoctoral researcher will engage in projects that address key research questions in computational biophysics and structural biology. Responsibilities include:
- Conducting molecular modeling and molecular dynamics simulations.
- Developing and applying new methods for enhanced sampling and free energy calculations.
- Analyzing trajectories using established methods such as Markov State Models, allostery quantification (e.g., NbIT and TCF), and various AI/ML approaches.
- Collaborating with biophysicists and molecular cell biologists to integrate computational approaches with experimental data.
- Focusing on a variety of transmembrane protein families (e.g., G-protein coupled receptors, transporters, Ca2+-activated ion channels, lipid scramblases) as well as soluble enzyme proteins.
- Contributing to translational aims related to rational drug design.
How to Apply:
Qualified applicants should send their CV and at least 2 reference letters by email to the lab PI, George Khelashvili, at gek2009@med.cornell.edu.
Last Date for Application:
Applications will be considered until the position is filled.
