Assistant Research Scientist; PREP
Listed on 2026-03-14
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Research/Development
Research Scientist, Biomedical Science
PREP Research Associate
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.
Optimizing NIST AI enabled data discovery and accessibility
Key Responsibilities- Learn and understand PDR system functionality
- Determine various AI techniques which we can use to improve search experience
- Perform systematic analysis of AI embeddings, MCP and RAGs application
- Incorporate optimized methods of new AI techniques in PDR system
- Demonstrate search optimization and effectiveness of AI integration
- Regular code updates, deliver code repo along with documentation
- Attend regular meetings with NIST
- A Master's degree in Computer Science, Engineering, Manufacturing, or a related field
- 2-3 years of relevant experience
- Familiarity with Dev Ops and CICD pipelines
- Ability to work with real‑time event data at scale
- Familiarity with multiple scripting languages
- Ability to develop prototypes of tools
- Strong oral and written communication skills
- CV/Resume (limit to 3 pages, include a valid email address)
- Self portraits
- Phone number
- Home address/Country
- Citizenship status
- Languages spoken
- Sex/Gender
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.
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 characteristic. 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 that are irrelevant to the program involved.
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