Publisher
source

J&J Innovative Medicine

Closing soon

Just Landed

Postdoctoral Scientist in Real-World Evidence Neurology and Data Science Johnson & Johnson Innovative Medicine in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available

Deadline

Aug 15, 2026

Country flag

Country

United States

University

J&J Innovative Medicine

Social connections

How do I apply for this?

Sign in for free to reveal details, requirements, and source links.

Apply for this position

Keywords

Computer Science
Data Science
Epidemiology
Neurology
Biostatistics
Biology
Neuropsychology
Medical Science
Causal Inference
Salud Pública
Statistics
Machine learning

Suggested positions

About this position

Johnson & Johnson Innovative Medicine is recruiting a Postdoctoral Scientist in Real-World Evidence (RWE) Neurology in Cambridge, Massachusetts, United States. This postdoctoral role sits within the RWE Neurology team and focuses on developing real-world evidence methods to support neuroscience clinical development and regulatory-grade decision-making.

The work combines real-world data, historical clinical trial data, clinical outcomes, biomarkers, and selected multimodal data sources. The scientist will help build practical, reusable approaches to evaluate whether artificial intelligence and machine learning outputs are robust, interpretable, and fit for purpose in clinical-development settings. Core activities include patient characterization, disease-trajectory modeling, endpoint assessment, evidence generation, and collaboration with statistics, data science, clinical development, translational science, regulatory, epidemiology, and medical affairs teams.

Research and technical keywords include biostatistics, statistics, epidemiology, data science, computer science, causal inference, machine learning, biomedical informatics, neuroscience, and real-world evidence. The role involves analyzing observational databases, registries, and clinical trial data; developing statistical and ML methods; assessing robustness, bias, missingness, and reproducibility; and preparing protocols, analysis plans, datasets, figures, and technical reports.

Eligibility highlights: a Ph.D. or equivalent doctoral degree in a quantitative field is required, along with strong R and/or Python skills and experience with patient-level healthcare or clinical data. Preferred experience includes real-world data sources, clinical endpoints, biomarkers, regulatory evidence workflows, sensitivity analyses, validation, and explainable AI.

Funding: this is a paid postdoctoral scientist position with an anticipated base salary range of $79,000 to $127,650, plus standard company benefits. Deadline: the posting is anticipated to close on 2026-08-15.

To apply, use the official Workday application link and submit your materials before the closing date.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

Ask ApplyKite AI

Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?