Johns Hopkins University Jobs

This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration.

Research Title:

AI/ML methods for protein sequence-function prediction

The candidate will develop Artificial Intelligence (AI), Machine Learning (ML), and Active Learning algorithms to enable more rapid and predictive engineering of proteins. They will collaborate with other members of the NIST Cellular Engineering Group and outside partners on projects related to the prediction of protein function from sequence.

Key responsibilities will include but are not limited to:

• Developing AI, ML, and Active Learning algorithms for protein engineering,

• Assisting in the analysis of large-scale sequence-function datasets,

• Presenting results at internal meetings, and occasional meetings with external partners.

• Ensuring that results, protocols, software, and documentation have been archived or otherwise transmitted to the larger organization.

Privacy Act Statement

Authority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)

Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) (https://www.nist.gov/iaao/academic-affairs-office/nist-professional-research-experience-program-prep) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.

PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program.

Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.

Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated.

§ A PhD in Computer Science, Engineering, Biology, or a related field.

§ At least 5 years of relevant experience.

§ Familiarity with AI, ML, and Active Learning as applied to protein engineering.

§ Ability to analyze large protein sequence-function datasets.

§ Strong oral and written communication skills.

Please include a cover letter and 3 references on 1 page.

Job Type: Full Time Johns Hopkins University is committed to active recruitment of a diverse faculty and student body. The University is an Affirmative Action/Equal Opportunity Employer of women, minorities, protected veterans and individuals with disabilities and encourages applications from these and other protected group members. Consistent with the University’s goals of achieving excellence in all areas, we will assess the comprehensive qualifications of each applicant.