Clinical Epidemiology and Data Science Co-op

At Johnson & Johnson,we believe health is everything.

Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions 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 jnj.com

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world.

We provide an inclusive work environment where each person is considered as an individual.

At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:
Career Programs

Job Sub Function:
Non-LDP Intern/Co-Op

Job Category:
Career Program

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

Job Description:

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 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/ .

Requirements:

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 limitations.



* 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, a...