18d ago

Data Science Co-op

United States·Danversmid

Data ScienceData & AI

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Quick Summary

Overview

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,

Technical Tools

Data ScienceData & AI

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

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.

Career Programs

Non-LDP Intern/Co-Op

Career Program

Danvers, Massachusetts, United States of America

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/.

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

Responsibilities

~1 min read

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

Requirements

~1 min read

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

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

Nice to Have

~1 min read

$23.50/hr to $52.50/hr

Additional Description for Pay Transparency:

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.