How do I apply for the Data Science Digital Health Intern position at jd health and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

What are the working arrangements and expected duration for the Data Science Digital Health Intern role?

This position is a not disclosed, structured as a not disclosed role, with an expected duration of 3 months.

What educational background or degree level is required for the Data Science Digital Health Intern at jd health?

Candidates are generally expected to be holding or pursuing the following degree levels: Bachelor, Master, PhD.

Does jd health provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

Data Science Digital Health Intern

jd health

Found 1 month ago

Location

Zug, Switzerland

Duration (Months)

3 Months

Time

Not disclosed

Work Mode

Not disclosed

Salary

Not disclosed

Visa Help

Not disclosed

Last Verified

1 month ago

Education

Bachelor
Master
PhD

Skills & Qualifications

Technical Skills

machine learning
signal processing
statistical methods
Python
R
exploratory data analysis
data quality
interpret results in a biomedical context
digital biomarkers
clinical research
translational data science

Soft Skills

Strong analytical thinking
problem-solving
scientific communication skills
Ability to translate complex quantitative findings into clear, actionable insights

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.

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.

AI & Machine Learning

Applied Machine Learning

Languages

English

Apply Now

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