Job Description:

Johnson & Johnson Innovative Medicine is seeking a highly motivated intern to join our Digital Health & Data Science team focused on advancing digital biomarker discovery for neurodegenerative diseases. In this role, you will work with large‑scale multimodal datasets, including sensor‑based, clinical, and longitudinal follow‑up data. You will contribute to the development and evaluation of computational methods to quantify motor and behavioral symptom progression, explore signal‑processing strategies, and help identify novel digital endpoints with potential to support clinical research and therapeutic development.

As an intern, you will collaborate closely with data scientists, clinicians, and neuroscientists across Johnson & Johnson Innovative Medicine. You will assist in exploratory data analysis, feature engineering, statistical modeling, and machine‑learning workflows aimed at improving sensitivity, robustness, and interpretability of digital biomarkers. This internship provides an opportunity to gain experience in translational digital health research, contribute to impactful projects in neurodegeneration, and help build next‑generation tools for understanding disease progression.

Key Responsibilities

• Support exploratory data analysis, data quality assessment, and visualization of multimodal datasets.
• Assist in feature engineering, signal processing, and statistical modeling workflows.
• Contribute to machine‑learning model development, evaluation, and interpretation in a biomedical context.
• Collaborate closely with data scientists, clinicians, neuroscientists, and cross‑functional partners across Johnson & Johnson Innovative Medicine.
• Help identify and characterize digital biomarkers for real‑world symptom tracking and clinical research applications.
• Support documentation, results reporting, and preparation of scientific summaries or presentations.

Requirements

• Currently enrolled in, or recently completed, a Bachelor’s, Master’s, or PhD program in: Data Science, Biomedical Engineering, Computer Science, Neuroscience, Biostatistics, Applied Mathematics, or another quantitative or computational field.
• Familiarity with machine learning, signal processing, and statistical methods.
• Experience with Python and/or R, including ability to perform exploratory data analysis, assess data quality, and interpret results in a biomedical context.
• Strong analytical thinking, problem‑solving, and scientific communication skills.
• Ability to translate complex quantitative findings into clear, actionable insights.
• Interest in digital biomarkers, clinical research, and translational data science within pharmaceutical or healthcare environments.

What We Offer

• Opportunity to gain hands‑on experience in digital biomarker research for neurodegenerative diseases.
• Exposure to real-world datasets and advanced analytical tools.
• Collaboration with a multidisciplinary team of experts across data science, medicine, and neuroscience.
• A chance to contribute to impactful initiatives that support therapeutic development and patient care.

Required Skills: