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Paid Internship
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21Open Positions

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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.

Related Field

  • AI & Machine Learning

Related Subfield

  • Applied Machine Learning

Languages

  • English
▶Apply Now

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