Johnson & Johnson currently has 73 active AI-related job listings. The majority of these roles, specifically 44%, are in the agents stage. Engineering is the most frequent function for these hires, followed by Product. The company is primarily hiring in the United States. Frequent tech tags include agent_orchestration and model_serving, suggesting a focus on AI system deployment and management. In the last 30 days, Johnson & Johnson posted 104 new AI roles, representing a significant increase of 420% compared to the previous 30-day period.
Currently tracking 49 active AI roles, down 53% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $77k–$283k (avg $144k).
Johnson & Johnson currently has 62 active AI-related roles in our index. The most common open titles are: Principal Scientist, Data Science - DDSAI - Therapeutics Development Supply (4), Data Scientist and Application Developer (2), Lead-Data Automation and Excellence (2), Postdoctoral Data Analytics Computational Sciences (2), Senior Program Manager, R&D (2). Most positions are in Engineering and Product.
Johnson & Johnson's active AI hiring is concentrated in: agents (40%), application (19%), data (18%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Johnson & Johnson is hiring AI talent in: United States (38 roles), Spain (7 roles), Belgium (5 roles), Japan (4 roles).
Job postings at Johnson & Johnson most frequently reference: agent orchestration, model serving, llm observability, fine tuning, rag.
In the past 30 days, Johnson & Johnson has posted 69 new AI-related roles. That is a -37% change versus the prior 30 days (109 → 69).
| Title | Stage | AI score |
|---|---|---|
| Post Doctoral Researcher, Evaluation & Standards in Clinical Operations Postdoctoral researcher to develop evaluation frameworks, rubrics, and quality systems for generative AI agents used in clinical operations and global development workflows. The role involves defining quality dimensions, designing human evaluation protocols, building benchmark datasets, and partnering with AI engineering teams in a regulated pharmaceutical environment. | Eval GateAgent | 8 |
| Postdoctoral Scholar, AI/ML for drug metabolite prediction and LC-MS analytical chemistry This role focuses on developing and evaluating AI/ML models for drug metabolite prediction, pharmacokinetics, and molecular properties within a healthcare/drug discovery context. It involves fundamental research using internal datasets, developing explainable AI tools with uncertainty estimation and active learning, and publishing findings. The role is primarily research-oriented, building and evaluating deep learning methods for analytical instrumentation and drug discovery processes. |
| Post-train |
| 7 |
| Postdoc on cofolding models for In-Silico Drug Discovery Postdoctoral researcher focused on developing and fine-tuning co-folding models for in-silico drug discovery, involving dataset curation, model evaluation, and integration into discovery workflows within a healthcare/biotech domain. | Post-train | 7 |
| Experienced Scientist (Neurodegeneration, Neuroinflammation, and Translational Biology) Experienced Scientist role in neurodegeneration and neuroinflammation research, focusing on Alzheimer's disease. The role involves designing and executing complex in vitro (iPSC-derived systems) and in vivo experiments, applying molecular and cellular techniques, and ensuring high-quality data generation. Requires a Master's degree with 6+ years of experience or a PhD, extensive hands-on experience with iPSC systems, and a proven track record in the field. | — | 0 |
| Senior Clinical Research Associate (Site Manager) Senior Clinical Research Associate (Site Manager) at Johnson & Johnson, responsible for overseeing clinical trial sites, ensuring compliance with protocols, SOPs, GCP, and regulations from study start-up to closure. The role involves site initiation, monitoring, management, and close-out, implementing risk-based monitoring, and collaborating with trial teams on recruitment and issue resolution. Requires a BA/BS in Life Sciences or related field, minimum 3 years of clinical trial monitoring experience, strong understanding of GCP and regulations, and fluency in Dutch and English (or Dutch, English, and French in Belgium). | — | 0 |
| Director HTA Statistics & RWE Methods The Director HTA Statistics & RWE Methods role at Johnson & Johnson provides strategic and technical leadership for data generation initiatives in innovative medicines. Responsibilities include dataset feasibility, protocol development, study design, and dissemination of results for indirect treatment comparisons, post hoc trial analyses, and real-world evidence (RWE). The role supports market access and launch strategies by leading the design of advanced study designs and statistical analyses aligned with Payer/HTA expectations. It also involves contributing to capability building, including training on Payer/HTA requirements and new methodologies, and development of coding libraries and AI/ML advanced analytics scaling and platforms. | — | 0 |
| Experienced Scientist (temp role) Scientist role at Johnson & Johnson focused on developing dissolution and in vitro release methods for new medications. The role involves hands-on lab work, predictive modeling, data science, and contributing to automation and mechanistic understanding of dissolution. It requires a PhD or Master's degree with relevant experience and strong analytical and communication skills. | — | 0 |
| Postdoctoral Researcher - Translational PBPK/PD Modeling Postdoctoral Researcher to join the Translational PBPK/PD modeling group, focusing on mechanistic modeling at the interface of pharmacology, biology, and quantitative data science for oncology drug development. The role involves developing and applying innovative mechanistic translational modeling strategies to integrate various data streams and improve human dose prediction for next-generation solid tumor therapies. | — | 0 |
| Postdoctoral Researcher– Translational PK/PD & Investigative Toxicology This postdoctoral researcher position focuses on developing and utilizing organotypic translational in vitro tumor models, including patient-derived organoids, to support the characterization of next-generation solid tumor therapies. The role involves employing advanced in vitro models with spatial biology approaches and developing pharmacodynamic (PD) and pharmacology endpoints to understand anti-tumor responses and predict human dose. The position emphasizes contributing to New Approach Methodologies (NAMs) and requires hands-on experience with organoids, tumoroids, bio-printed platforms, and co-culture models with immune cells. | — | 0 |
| Postdoc Product development Postdoctoral Scholar role focused on developing advanced in vitro characterization methods for lipid-based formulations to improve drug delivery of beyond rule of five (bRo5) drug candidates. The role involves building and exploring experimental toolboxes, designing formulation strategies, supporting in vivo translation, and communicating scientific outcomes. | — | 0 |
| Associate Director, Global Market Access Analytics & RWE This role focuses on designing and executing market access analytics and Real World Evidence (RWE) studies, specifically indirect treatment comparisons, to support Health Technology Assessment (HTA) and payer submissions within the pharmaceutical industry. It involves applying advanced statistical methods and programming to diverse data sources. | — | 0 |
| Post Doc – Solid-State NMR & Peptide–Formulation (Mechanistic Insights) Postdoctoral scientist role focused on understanding molecular interactions for oral peptide delivery using solid-state NMR, complementary spectroscopy, and computational modeling. The role aims to generate mechanistic insights to guide the design of new functional excipients. | — | 0 |
| Crystallographer, Experienced Scientist R&D This role focuses on crystallography and solid-state chemistry to characterize and control polymorphism of active pharmaceutical ingredients (APIs) for drug development. It involves applying expertise in X-ray, electron, or neutron diffraction techniques for structure determination and analysis, collaborating with cross-functional teams, and ensuring compliance with laboratory standards. The role requires a PhD in a related field and experience in solid-state materials science. | — | 0 |