Assistant Research Scientist; PREP

Assistant Research Scientist (PREP
0003673)

Requisition #: A-171291-26
Status: Part Time
Type: Faculty
School: Whiting School of Engineering
Department: Commercial and Government Programs Office
Salary: $20-$30 per hour
Location: Gaithersburg, MD 20899
Closing: Open until filled
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This position focuses on documenting the Assessing Risks and Impacts of AI (ARIA) dataset used for the NIST ARIA Program. The assistant will assist in designing a dataset card that aligns with emerging standards for AI documentation, emphasizing transparency, reliability, and reproducibility.

• Collaborate with AI researchers to develop a dataset card documenting the technical and operational parameters of datasets used in AI evaluations.
• Identify and describe the dataset's technical parameters, including intended use, limitations, collection methods, and risk‑relevant features.
• Conduct quality assurance checks to detect anomalies, inconsistencies, and completeness issues in the dataset.
• Assist in preparing the dataset for public release, including metadata curation, file organization, and access provisioning.
• Apply and assess data anonymization techniques to ensure privacy compliance and mitigate re‑identification risks.

• A dataset card following relevant documentation standards.
• A finalized version of the dataset curated for public release, with accompanying metadata.
• A report summarizing identified data limitations, anonymization procedures applied, and mitigation strategies for potential risks.
• A checklist‑based audit log of quality assurance checks performed.

• Background in Data Science, Computer Science, Information Science, HCI, or a related field.
• Education level: graduate student.
• Familiarity with dataset documentation standards and risk assessment frameworks (e.g., NIST AI Risk Management Framework).
• Strong written communication skills for technical documentation.

• CV/Resume (limit to 3 pages, include a valid email address).
• Do not include self portraits, phone number, home address, citizenship status, languages spoken, or sex/gender.

The Johns Hopkins University is committed to equal opportunity. 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. Qualified individuals have access to all academic and employment programs, benefits and activities on the basis of demonstrated ability, performance and merit.

The successful candidate(s) for this position will be subject to a pre‑employment background check including education verification.