Clinical Epidemiology and Data Science Co-op

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 Med Tech, 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.

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All Job Posting Locations:
Danvers, Massachusetts, United States of America

Johnson & Johnson is currently seeking a Clinical Epidemiology and Data Science Co-op to join our Advanced Clinical Research group located in Danvers. 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 Med Tech, 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

The Advanced Clinical Research team uses real-world clinical and hemodynamic data to generate evidence, extend understanding of patient physiology and outcomes, and identify promising directions for future research. This co-op is designed for a student interested in the intersection of epidemiology, biostatistics, and data science, with an emphasis on clinical discovery. Working primarily with a clinical scientist and engage with cross-functional partners, the co-op will focus on a set of well-defined analytical questions across multiple studies.

Develop and execute reproducible statistical analyses of observational and longitudinal clinical data, including cohort and endpoint definitions, exploratory analyses, modeling, sensitivity analyses, and clear documentation of assumptions and limits. Use R or Python and, where appropriate, SQL to clean, structure, visualize, and analyze complex datasets containing clinical outcomes, patient characteristics, and hemodynamic measurements. Document analyses in a reproducible environment such as a Jupyter Notebook or Quarto.

Collaborate with scientists, clinicians, engineers, and other cross-functional partners to interpret findings, communicate results through written summaries and presentations, and recommend clinically meaningful questions or directions for future research.

Currently pursuing a degree in epidemiology, biostatistics, public health, data science, biomedical engineering, or a related quantitative field. Working knowledge of epidemiologic study design, statistical inference, and analysis of observational or longitudinal data, with the ability to explain analytical choices and learn to select appropriate methods in collaboration with experienced scientists. Experience using R and/or Python for data analysis and visualization;

familiarity with SQL and reproducible workflows in Jupyter Notebook, Quarto, or a comparable environment is strongly preferred. Strong attention to data quality, analytical assumptions, documentation, and interpretation; prior experience with clinical, healthcare, cardiovascular, or medical device data is preferred but not required. Excellent collaboration skills and an interest in working closely with clinicians and scientists. 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. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color,…