# Post Doc - AI/ML and Optimization at Johnson & Johnson

Johnson & Johnson is hiring a Post Doc - AI/ML and Optimization in Cambridge, United States. Level rates it Builds AI ●●●●; you can [apply on Johnson & Johnson](https://jobsbylevel.com/go/17aee5f8-f217-4ec7-b095-983053636eaa?utm_medium=ai-agent).

AI Level 4, AI centrality 86 out of 100. Cambridge, Massachusetts, United States of America.

## Details

- Company: [Johnson & Johnson](https://jobsbylevel.com/companies/johnson-johnson)
- AI level: AI Level 4 (score 86 out of 100)
- Location: Cambridge, Massachusetts, United States of America
- Posted: October 30, 2026
- Apply: https://jobsbylevel.com/go/17aee5f8-f217-4ec7-b095-983053636eaa?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=post-doc-ai-ml-and-optimization-at-johnson-johnson-b31bd0

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/post-doc-ai-ml-and-optimization-at-johnson-johnson-b31bd0

## 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: Cambridge, Massachusetts, United States of America, Titusville, New Jersey, United States of America Job Description: About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine J&J Innovative Medicine - Data, Data Science, and AI - Global Development (DDSAI GD) is recruiting a Postdoctoral Scientist - AI/ML and Optimization. The ideal candidate will apply machine learning (ML), generative AI (GenAI), and optimization techniques to develop computational solutions that support and enhance global clinical operations, including enrollment forecasting, cost estimation and optimization, and country and site selection. Key Responsibilities Conduct research, build, test, and improve ML, GenAI, optimization pipelines for clinical development and trial operations. Analyze, prepare, and leverage operational, RWD, and cost data to build ML models and optimization engines to 1) predict outcomes of interest, 2) highlight tradeoffs between competing trial objectives, 3) recommend optimal operational scenarios, and 4) generate actionable insights, enabling early intervention and risk management. Develop and evaluate LLM-enabled workflows for document extraction, protocol comparison, trial similarity assessment, data harmonization, clinical-concept interpretation, and eligibility-criteria assessment. Stochastic simulations to forecast operational and patient journey outcomes including enrollment and patient study completion. Design experiments and tailored evaluation metrics and frameworks to support validation, monitoring, data-quality, and responsible-AI practices. Contribute reusable code, data pipelines, documentation in collaboration with data scientists, engineers, and clinical-development partners. Communicate research findings, analytical methods, and recommendations clearly to technical and non-technical stakeholders and contribute to internal or external scientific dissemination. Required Qualifications A Ph.D. degree, completed or expected before the start date, in computer science, statistics, biostatistics, biomedical informatics, epidemiology, health economics, applied mathematics, engineering, or another quantitative discipline. Hands-on experience with multi-modal ML predictive modeling and stochastic simulations for time-series forecasting. Experience with GenAI and clinical LLMs for document parsing, clinical concept disambiguation, or harmonization. Experience building multi-objective optimization engines to navigate complex trade-offs using evolutionary algorithms, reinforcement learning, or mixed-integer linear programming. Proficiency with programming languages Python and SQL, Experience

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/post-doc-ai-ml-and-optimization-at-johnson-johnson-b31bd0

Source: https://jobsbylevel.com/jobs/post-doc-ai-ml-and-optimization-at-johnson-johnson-b31bd0

## Cite this page

Level. https://jobsbylevel.com/jobs/post-doc-ai-ml-and-optimization-at-johnson-johnson-b31bd0.

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