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Postdoctoral Position in Jeffrey J. Gray's Computational Protein Structure and Design Lab

Johns Hopkins University

Baltimore, MD • On-site

$80K/yr

Full-time

Medical, Dental

Re-posted 16 days ago

Johns Hopkins University rating

8.0

Company rating: 8.0 out of 10

Based on 71 frontline employees who took The Breakroom Quiz

184th of 616 rated colleges and universities

Job description

Description
Are you excited to explore a yet-to-be-solved problem at the heart of AI-based protein engineering? Join 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.
  • Highly competitive salary (up to $80,000 stipend) goes far in affordable Baltimore.
  • Full benefits including health insurance (coverage for eye and dental insurance).
  • 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.
  • 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.
  • State-of-the-art computing infrastructure (NVIDIA H100 and A100 GPUs and CPUs for seamless computing).
  • Supportive mentoring environment, with regular 1:1 meetings and Individual Development Plans every 6 months.

More information about the Gray lab at http://graylab.jhu.edu
Key responsibilities could include, but are not limited to, assisting in the following:
  • Review literature on biomolecular structure and design technologies and deep learning approaches.
  • Assess gaps in current tools.
  • Assess of emerging deep learning methods for application in biomolecular engineering.
  • Create of novel deep learning tools for biomolecular engineering, including assembling novel data sets, building new architectures, training and assessing models.
  • Critically assess of biomolecular designs using multiple deep learning tools, physics-based models, and structural analysis.
  • Plan collaboration with experimentalists, to best assess competing design strategies.
  • Write journal articles and presentations for sharing the outcomes.

Qualifications
  • PhD in Engineering, biophysics, computational biology, or related field
  • Experience with scientific algorithm development, protein biophysics or engineering, protein structure prediction and design.
  • Experience in solving complex scientific or engineering problems
  • Excellent writing and communication skills
  • Ability to work in teams and contribute to a supportive and collaborative work culture

Application Instructions
In Interfolio, applicants should upload a CV, a brief statement of purpose, a code sample, and 2-3 representative publications (preprints acceptable). The statement should state why the Gray lab is a good fit for your career trajectory. The code sample can be a file or a few files or a link (e.g. a Github repository) that demonstrates your coding level.
Applications will be considered until the positions are filled.

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About Johns Hopkins University

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Gilman believed that teaching and research go hand in hand—that success in one depends on success in the other—and that a modern university must do both well. He also believed that sharing our knowledge and discoveries would help make the world a better place. In 145 years, we haven’t strayed from that vision. This is still a destination for excellent, ambitious scholars and a world leader in teaching and research. Distinguished professors mentor students in the arts and music, humanities, social and natural sciences, engineering, international studies, education, business, and the health professions. Those same faculty members, along with their colleagues at the university’s Applied Physics Laboratory, have made us the nation’s leader in federal research and development funding every year since 1979. That’s a fitting distinction for America’s first research university, a place that has revolutionized higher education in the U.S. and continues to bring knowledge and discoveries to the world.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Baltimore, MD, US

Year founded

1876

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