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Post Doctoral Researcher, Evaluation & Standards in Clinical Operations, Johnson & Johnson, USA

Post-Doctoral Fellowship Position at USA, Ozbolat Laboratory at Penn State

Job Summary

Johnson & Johnson is deploying generative AI agents across clinical operations and global development workflows (such as clinical data review, anomaly detection, protocol Q&A, and regulatory document assembly). Because “good” is not a single number in specialized clinical contexts, the company is seeking a Postdoctoral Researcher to develop the evaluation frameworks, rubrics, and quality systems that determine when these AI agents are ready for scientists, clinical operations specialists, and site teams to rely on.

Post Doctoral Researcher, Evaluation & Standards in Clinical Operations, Johnson & Johnson, USA

  • Sub-Function/Category: Post Doc โ€“ Data Analytics & Computational Sciences (ST5)
  • Position Duration: 2-year postdoctoral appointment


Position Overview & Compensation

LocationAnticipated Base Pay Range
Europe (Primary Location)โ‚ฌ60.000,00 – โ‚ฌ96.255,00
SpainEUR 43.600 – EUR 70.150
United KingdomGBP 40.100 – GBP 63.595
SwitzerlandCHF 93.500 – CHF 149.615
United States of AmericaUSD 79.000 – USD 127.650

Research Area

  • Generative AI and Agentic Systems Evaluation
  • Data Analytics & Computational Sciences
  • Clinical Operations and Global Development Workflows

Job Locations

This position features a Hybrid Work pattern and is available in the following locations:

  • Europe: Beerse (Belgium), Barcelona (Spain), Madrid (Spain), Toledo (Spain), Zug (Switzerland), High Wycombe (United Kingdom)
  • United States: Raritan (New Jersey), Titusville (New Jersey)

Eligibility & Qualification

Domain Expertise

  • PhD or equivalent research experience in a clinical, biomedical, regulatory, biostatistics, or closely related field.
  • Strong understanding of clinical operations and global development workflows (e.g., clinical data management, monitoring, regulatory documentation, site operations).
  • Familiarity with how clinical-ops specialists, monitors, regulatory authors, and site teams assess quality.

Technical & Practical Skills

  • Proficiency in Python and the modern ML/data stack.
  • Experience prototyping with modern AI tooling (LLM APIs, vector databases, evaluation frameworks).
  • Demonstrated ability to develop structured assessment protocols, rubrics, and frameworks with multiple quality dimensions or inter-rater reliability considerations.
  • Comfort working across disciplines (clinical operations, regulatory affairs, AI engineering, data science).

Job Description (What you’ll do)

  • Develop Evaluation Frameworks: Create rubrics and evaluation systems for AI agents operating within clinical operations and global development contexts.
  • Define Quality Dimensions: Establish specific parameters for outputs like clinical data queries, anomaly detection, protocol Q&A responses, and regulatory documents based on real-world clinical-ops user standards.
  • Human Evaluation Protocols: Design and execution of evaluation protocols alongside clinical, regulatory, and site-facing subject matter experts.
  • Pipeline & Dataset Building: Build benchmark datasets and evaluation pipelines to be used across the broader GenAI organization.
  • Cross-Functional Partnership: Partner with AI engineering teams to translate evaluation findings into measurable model and system improvements.

How to Apply

Interested candidates can apply directly through the official Johnson & Johnson careers portal by visiting the J&J Job Posting Application Page.

Last Date to Apply

An explicit closing deadline is not specified in the posting. However, the position was posted on Jul 10, 2026, and candidates are encouraged to apply as early as possible before the listing is closed.

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