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 jnj.com
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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 Data Science Co-op to join our Critical Care team (Applied Sciences & AI) located in Danvers, MA.
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/.
Program Dates: January 12 – June 26, 2026
Position Summary
The Critical Care team is looking for a co-op or intern to support our early-stage research and development programs. The candidate will be involved in solving data science and data analytics problems. With defined requirements, the candidate will be responsible for designing algorithms for products, building machine learning tools and doing data analysis.
- Implement machine learning for new or existing algorithms
- Design and translate algorithms for products and internal analysis tools
- Research in new applications of data science within the company
- Conduct data analysis for internal or external groups
Key Responsibilities
Assist in the design and training of Machine Learning models for Clinical Decision Support
- Provide input into process development and improvement
- Analyze data and present results to larger Engineering team
Minimum Requirements
- Senior or Grad student pursuing a degree in data science, computer science, computer engineering, software engineering, AI, or statistics
- Strong Machine Learning background with experience in Deep Learning (along with tools like Tensorflow, Keras, Pytorch), time series modeling, LLMs, natural language processing.
- Proficient in at least one programming language (Python preferred) and solid understanding of data structures & algorithms.
- Solid understanding of statistics, strong analytical skills
- Self-motivated, execute tasks in a timely manner
- Demonstrated communication skills, both written and verbal
Preferred Requirements
- Demonstrated experience with tuning and evaluating Large Language Models on variety of tasks including Named Entity Recognition and Question-Answering
- Knowledge in Data Science / Machine Learning libraries (numpy, pandas, matplotlib, sklearn, nltk)
- Experience in signal processing
- Big data / cloud experience (AWS, Azure, Google Cloud, Hadoop, Spark, Hive)
- Displayed interest in medical device industry
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.
The anticipated base pay range for this position is: $23.50/hr to $52.50/hr
The expected pay range for this position is between $23.50 per hour and $52.50 per hour but will be based on candidate's program year, discipline, degree and/or experience. 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 This job posting is anticipated to close on 6/25/2027. The Company may however extend this time-period, in which case the posting will remain available on https://www.careers.jnj.com to accept additional applications.
Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers. Internal employees contact AskGS to be directed to your accommodation resource.
