Postdoctoral Scientist - RWE Neurology

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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

Job Description:

Johnson & Johnson Innovative Medicine is recruiting for Postdoctoral Scientist, R&D DDSAI, Real-World Evidence (RWE) Neurology

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

The Real-World Evidence (RWE) Neurology team within Johnson & Johnson Innovative Medicine is seeking an outstanding postdoctoral scientist to help develop real-world evidence methods to support neuroscience clinical development.

This role will focus on building practical, reusable approaches to evaluate whether artificial intelligence and machine learning outputs are robust, interpretable, and fit-for-purpose when applied to clinical-development regulatory grade questions.

The postdoctoral scientist will work at the intersection of real-world data, historical clinical trial data, clinical outcomes, biomarkers, and selected multimodal data sources to support patient characterization, disease-trajectory modeling, endpoint assessment, and evidence generation for regulatory and clinical decision-making.
Key Responsibilities

The postdoctoral scientist will contribute to projects that may include:


* Analyze real-world data sources, observational databases, registries, and historical clinical trial data to generate insights supporting neuroscience clinical development and regulatory evidence strategies.


* Develop and apply statistical and machine learning methods to support patient subtyping, disease-progression modeling, endpoint evaluation, treatment-pattern characterization, and clinical trial design.


* Evaluate model robustness and stability un...