Data Science Co-Op - Fall 2026
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/. Program Dates: July 13 – December 18, 2026 Position Summary The Critical Care team is seeking a Co‑Op to support early‑stage research and development efforts. This role focuses on solving data science and analytics challenges. With defined requirements, the candidate will design algorithms for product applications, build machine learning tools, and perform data analysis across multiple initiatives. Core focus areas include: Implementing machine learning techniques for new and existing algorithms Designing and translating algorithms for product integration and internal analysis tools Exploring new applications of data science within the organization Conducting data analysis for internal and external stakeholders
Requirements
- Current enrollment in a degree program in biomedical engineering, electrical and computer engineering, data science, computer science, AI, statistics, or a related field (master’s or PhD preferred)
- Strong background in machine learning with experience in deep learning (e.g., TensorFlow, PyTorch), time‑series modeling, NLP, and LLMs
- Proficiency in at least one programming language (Python preferred) and solid understanding of data structures and algorithms
- Strong statistical knowledge and analytical skills
- Self‑motivated with the ability to meet deadlines and execute tasks independently
- Excellent written and verbal communication skills
- 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
- Deep understanding of transformer architectures (e.g., GPT, BERT, T5, LLaMA)
- Experience fine‑tuning and evaluating LLMs for tasks such as NER and QA
- Familiarity with data science/ML libraries (NumPy, Pandas, Matplotlib, scikit‑learn, Hugging Face Transformers, LangChain)
- Experience in signal processing (time‑series analysis, filtering, and domain transformations)
- Exposure to big data or cloud platforms (AWS, Azure, Hadoop, Spark, Hive)
- Demonstrated interest in the medical device industry
- Experience using Python‑centric web application frameworks (e.g., Streamlit, Plotly Dash, Django)
- Experience gathering user feedback and translating it into iterative improvements
- Familiarity with multi‑stage container builds, container maintenance, and extensions
- Experience building APIs using FastAPI, including routing, lifecycle management, and async programming
- PostgreSQL experience, including schema design, permissions management, maintenance, views, triggers, and Python integrations
Responsibilities
- Assist in designing and training machine learning models for clinical decision support
- Contribute to process development and continuous improvement initiatives
- Analyze data and present findings to the broader engineering team
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
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What This Job Offers
Career Level
Intern
