Intern, Neuroscience & Digital Health

Johnson & Johnson • Titusville, NJ

9d • $23 - $52 • Remote

About The Position

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Career Programs Job Sub Function: Non-LDP Intern/Co-Op Job Category: Career Program All Job Posting Locations: Titusville, New Jersey, United States of America Job Description: Job Summary Johnson & Johnson Innovative Medicine is seeking a Neuroscience Digital Health & Data Science Intern to support the Neuroscience Data Science and Digital Health organization within the Digital and AI Measures team. This internship provides hands‑on experience working with digital health technologies, neuroscience data, and analytics used in clinical and translational research. The intern will support the evaluation, integration, and analysis of multimodal data sources—including speech‑based digital measures, imaging‑derived features, and clinical datasets—while collaborating with cross‑functional data science, clinical, and biomarker teams.

Requirements

• Currently enrolled in Undergraduate or Graduate program in Bioengineering, Neuroscience, Computational Biology and Data Science, Biomedical Engineering and Bioinformatics
• Completion of at least two years of undergraduate study by internship start
• Strong analytical and problem‑solving skills
• Experience programming in Python for data analysis
• Ability to clearly communicate technical concepts to both technical and non‑technical audiences
• Permanently authorized to work in the U.S., must not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future. Students currently on CPT, OPT, or STEM OPT usually requires future sponsorship for long term employment and do not meet the requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship.

Nice To Haves

• Prior experience with biomedical, clinical, or digital health datasets
• Familiarity with machine learning concepts and basic statistical methods
• Experience with additional tools such as R, Power BI, or data visualization libraries
• Research or industry experience in neuroscience, bioengineering, or health technology
• Strong organizational skills and ability to work in a collaborative, fast‑paced environment

Responsibilities

• Support cleaning, validation, and exploratory analysis of digital health and neuroscience datasets
• Assist with data cleaning and evaluation of speech‑based and imaging‑derived digital measures used in clinical research
• Contribute to development of analysis workflows and documentation under guidance of senior data scientists
• Perform data quality checks and summarize findings through figures, tables, and presentations
• Support literature review and benchmarking of digital health and AI‑enabled measurement approaches
• Assist with documentation related to data handling and analytical processes and drafting the manuscript

Benefits

• Co-Ops/Interns are eligible to participate in Company sponsored employee medical benefits in accordance with the terms of the plan.
• Co-Ops and Interns are eligible for the following sick time benefits: up to 40 hours per calendar year; for employees who reside in the State of Washington, up to 56 hours per calendar year.
• Co-Ops and Interns are eligible to participate in the Company’s consolidated retirement plan (pension).
• For additional general information on Company benefits, please go to: https://www.careers.jnj.com/employee-benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Intern