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

Johns Hopkins University; Baltimore (MD); On-site; USD 60,000 - 80,000; Full time

Benefits offered by this job

Health insurance

Rosetta Conferences and workshops

Advanced computing resources (NVIDIA H

Mentoring & development plans

Job summary

Johns Hopkins University in Baltimore is seeking a postdoctoral researcher to join Jeffrey Gray's lab to advance AI-driven protein engineering. You will learn and apply deep learning methods to antibodies, protein design, and docking in a collaborative setting.

The role emphasizes developing new ML tools, building datasets, and publishing findings, with access to state-of-the-art compute and strong mentoring support for career development.

Qualifications

• PhD required in engineering, biophysics, computational biology or related field.
• Experience with scientific algorithm development and protein design.
• Excellent writing and communication skills.
• Ability to work in a collaborative research environment.

Responsibilities

• Review literature on biomolecular structure, design technologies and deep learning methods.
• Assess gaps in current computational tools for protein engineering.
• Develop new deep learning approaches for antibody engineering and biomolecular design.
• Create novel ML tools and assemble datasets for model training and evaluation.
• Critically assess biomolecular designs using multiple models and physics-based methods.
• Collaborate with experimental teams to evaluate design strategies and publish results.

Skills

Algorithm development

Team collaboration

Written & oral communication

Education

PhD in Engineering, biophysics, computational biology

Job 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

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

Salary Range

The referenced salary range represents the minimum and maximum salaries for this position and is based on Johns Hopkins University's good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training and other factors, as reasonably determined by the University.

Total Rewards

Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: benefits-worklife/.

Equal Opportunity Employer

The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. To that end, the university does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status or other legally protected characteristics. The university is committed to providing qualified individuals access to all academic and employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors or demographic characteristics that are irrelevant to the program involved.

Pre-Employment Information

If you are interested in applying for employment with Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the HR Business Services Office at . For TTY users, call via Maryland Relay or dial 711. For more information about workplace accommodations at Johns Hopkins University for disabilities, medical conditions (including medical conditions related to pregnancy or childbirth), accessibility, or religious reasons, please visit accessibility.jhu.edu.

Background Checks

After receiving a conditional offer, the successful candidate(s) for this position will be subject to a pre-employment background check including education verification. When deciding whether a candidate's conviction history is job-disqualifying, the University considers the nature and gravity of the offense, the time that has passed since the conviction, and the nature of the job being sought.

EEO is the Law

employees-job-applicants

Vaccine Requirements

Johns Hopkins University strongly encourages, but no longer requires, at least one dose of the COVID-19 vaccine. This change does not apply to the School of Medicine (SOM). SOM hires must be fully vaccinated with an FDA COVID-19 vaccination and provide proof of vaccination status. We still require all faculty, staff, and students to receive the seasonal flu vaccine.

Exceptions to the seasonal flu vaccine or COVID-19 vaccine (for SOM) requirement(s) may be provided to individuals with sincerely held religious beliefs or medical conditions that preclude them from receiving the vaccine. Requests for an exception must be submitted to the JHU vaccination registry. For additional information, applicants for SOM positions should visit coronavirus/covid-19-vaccine/ and all other JHU applicants should visit health-safety/covid-vaccination-information/.

The following additional vaccine requirements may apply, depending upon your campus. Please contact the hiring department for more information.

The pre-employment physical for positions in clinical areas, laboratories, working with research subjects, or involving community contact requires documentation of immune status against Rubella (German measles), Rubeola (Measles), Mumps, Varicella (chickenpox), Hepatitis B and documentation of having received the Tdap (Tetanus, diphtheria, pertussis) vaccination. This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing. Blood tests for immunities to these diseases are ordinarily included in the pre-employment physical exam except for those candidates who provide results of blood tests or immunization documentation from their own health care providers. Any vaccinations required for these diseases will be given at no cost in our Occupational Health office.