# Post Doc - AI Safety at Johnson & Johnson

Johnson & Johnson is hiring a Post Doc - AI Safety in Antwerp, Belgium. It pays €60k-€96k a year and Level rates it Builds AI ●●●●; you can [apply on Level](https://jobsbylevel.com/go/6cec3541-5c23-41cc-abaf-9b111d0a01a0).

AI Level 4, AI centrality 96 out of 100. Beerse, Antwerp, Belgium.

## Details

- Company: [Johnson & Johnson](https://jobsbylevel.com/companies/johnson-johnson)
- AI level: AI Level 4 (score 96 out of 100)
- Location: Beerse, Antwerp, Belgium
- Salary: €60k-€96k
- Posted: October 9, 2026
- Apply: https://jobsbylevel.com/go/6cec3541-5c23-41cc-abaf-9b111d0a01a0

## Description

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com . As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit. Job Function: Career Programs Job Sub Function: Post Doc – Data Analytics & Computational Sciences Job Category: Career Program All Job Posting Locations: Beerse, Antwerp, Belgium, Leiden, Netherlands, Limerick, Ireland, Maidenhead, Berkshire, United Kingdom Job Description: About the Role Johnson & Johnson Innovative Medicine is recruiting a Postdoctoral Researcher, AI Safety to join our Data, Data Science & AI organization. This is a fixed-term research appointment of two years reporting directly to the Scientific Fellow, AI Safety. The role can be based at one of our sites in Belgium, The Netherlands, UK or Ireland Agentic AI is becoming central to pharmaceutical R&D—from discovery and translational science to development and regulatory work—where evidence standards are rigorous and errors can ultimately affect patient safety and outcomes. Our GenAI Platform supports that shift across a rapidly expanding population of autonomous workflows. Safety at this scale cannot be retrofitted through checks written into individual applications; it must be a property of how these systems are built. As a Postdoctoral Fellow, you will lead a focused, publishable research program on how agentic AI in pharmaceutical R&D can be governed through provable controls , continuously tested through adversarial assurance , and made safe by construction . Your research agenda will sit within one or more of the team's three connected mandates: Provable controls. Develop deterministic, explainable controls that persist throughout agentic workflows, and methods to verify that they hold. Adversarial assurance. Advance continuous red-teaming and evaluation methods that test safeguards against credible failure scenarios and produce defensible evidence. Safety-native architecture. Investigate pre- and post-training safety alignment and defense-in-depth techniques that make agentic AI safe by construction for regulated pharmaceutical R&D. This is a hands-on research role with real systems as the testbed. You will formulate research questions, build the prototypes and experiments that answer them, publish the results, and work with our engineering partners to carry validated methods into the platform. Key Responsibilities Research Program Execute an independent research agenda (agreed with the Scientific Fellow/mentor) on controls, adversarial assurance, or safety-native architecture for agentic AI in regulated scientific settings. Design rigorous, reproducible experiments—including baselines, ablations, and uncertainty estimates—that test whether a safety property genuinely holds. Evaluate pre-training data interventions and post-training methods—including supervised fine-tuning, preference optimization, and safety tuning—for regulated scientific use cases, including whether safety properties persist under domain adaptation. Prototype layered architectures that constrain agent behavior, and translate scientific, quality, privacy, and regulatory requirements into testable system specifications. Work with platform engineering to move validated methods from prototype into the GenAI Platform, with documentation that makes results reproducible and

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/post-doc-ai-safety-at-johnson-johnson-4b2b47

Source: https://jobsbylevel.com/jobs/post-doc-ai-safety-at-johnson-johnson-4b2b47

## Cite this page

Level. https://jobsbylevel.com/jobs/post-doc-ai-safety-at-johnson-johnson-4b2b47.

Get job alerts: https://jobsbylevel.com/newsletter