Data Science Co-Op Fall 2026

Cherry Hill, NJ - USA

Monthly Salary: Not Disclosed

Posted on: 16 hours ago

Vacancies: 1 Vacancy

Job Summary

At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are 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 more at

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 Data Science Co-Op to join our Critical Care team (Applied Sciences & AI) located in Danvers MA.

Position Summary

The Critical Care team is seeking a CoOp to support earlystage 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

Key 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

Minimum Requirements

Current enrollment in a degree program in biomedical engineering electrical and computer engineering data science computer science AI statistics or a related field (masters or PhD preferred)
Strong background in machine learning with experience in deep learning (e.g. TensorFlow PyTorch) timeseries 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
Selfmotivated with the ability to meet deadlines and execute tasks independently
Excellent written and verbal communication skills

Preferred Requirements

Deep understanding of transformer architectures (e.g. GPT BERT T5 LLaMA)
Experience finetuning and evaluating LLMs for tasks such as NER and QA
Familiarity with data science/ML libraries (NumPy Pandas Matplotlib scikitlearn Hugging Face Transformers LangChain)
Experience in signal processing (timeseries 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 Pythoncentric web application frameworks (e.g. Streamlit Plotly Dash Django)
Experience gathering user feedback and translating it into iterative improvements
Familiarity with multistage 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

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 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 . Internal employees contact AskGS to be directed to your accommodation resource.

Required Skills:

Preferred Skills:

The anticipated base pay range for this position is :

$23.00/hr to $51.50/hr

Additional Description for Pay Transparency:

The expected pay range for this position is between $23.00 per hour and $51.50 per hour but will be based on candidates program year discipline degree and/or -Ops/Interns are eligible to participate in Company sponsored employee medical benefits in accordance with the terms of the -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 -Ops and Interns are eligible to participate in the Companys consolidated retirement plan (pension). For additional general information on Company benefits please go to: