Johns Hopkins University
Postdoctoral Position in Jeffrey J. Gray's Computational Protein Structure and D
Johns Hopkins University, Baltimore, Maryland, United States, 21276
Overview
Salary: $75,000-$85,000
Status: Full Time
Are you excited to explore a yet-to-be-solved problem at the heart of AI-based protein engineering? Join the Jeffrey Gray's research lab to develop and mature some of the most in-demand research skills in academia and industry today. New approaches in deep neural networks are revolutionizing the study of protein structure, but so far these advances have not solved the critical issues to be able to design new therapeutic antibodies from scratch. The Gray lab is a leader in the study of protein-protein interactions and computational modeling of antibodies, including emerging deep learning approaches. This position will allow you to learn the emerging deep learning approaches to proteins and antibodies and craft new machine learning approaches for antibody engineering, protein-protein docking, and carbohydrate modeling. We create new methods and collaborate with academics and industry to apply these methods to important biological problems and to therapeutics. You will be a part of a dynamic, collaborative, and inclusive research group.
State-of-the-art computing infrastructure (NVIDIA H100 and A100 GPUs and CPUs for seamless computing).
Lab alumni have advanced to positions in industry giants (Genentech, Merck, Pfizer, GSK), and successful recent startups (Generate Bio, Outpace Bio).
Initial appointment period of one year, with expectation of 2-4 years total.
The Gray laboratory is part of the Rosetta Commons (Prof. Gray serves as Director), and so you will be able to participate in Rosetta Conferences, workshops, and outreach.
Johns Hopkins offers an unmatched environment for life sciences research, with a dynamic community in biomolecular engineering, biophysics, biochemistry, and medicine.
Full benefits including health insurance (coverage for eye and dental insurance).
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Status: Full Time
Are you excited to explore a yet-to-be-solved problem at the heart of AI-based protein engineering? Join the Jeffrey Gray's research lab to develop and mature some of the most in-demand research skills in academia and industry today. New approaches in deep neural networks are revolutionizing the study of protein structure, but so far these advances have not solved the critical issues to be able to design new therapeutic antibodies from scratch. The Gray lab is a leader in the study of protein-protein interactions and computational modeling of antibodies, including emerging deep learning approaches. This position will allow you to learn the emerging deep learning approaches to proteins and antibodies and craft new machine learning approaches for antibody engineering, protein-protein docking, and carbohydrate modeling. We create new methods and collaborate with academics and industry to apply these methods to important biological problems and to therapeutics. You will be a part of a dynamic, collaborative, and inclusive research group.
State-of-the-art computing infrastructure (NVIDIA H100 and A100 GPUs and CPUs for seamless computing).
Lab alumni have advanced to positions in industry giants (Genentech, Merck, Pfizer, GSK), and successful recent startups (Generate Bio, Outpace Bio).
Initial appointment period of one year, with expectation of 2-4 years total.
The Gray laboratory is part of the Rosetta Commons (Prof. Gray serves as Director), and so you will be able to participate in Rosetta Conferences, workshops, and outreach.
Johns Hopkins offers an unmatched environment for life sciences research, with a dynamic community in biomolecular engineering, biophysics, biochemistry, and medicine.
Full benefits including health insurance (coverage for eye and dental insurance).
#J-18808-Ljbffr