Data Science Co‑Op: AI for Critical Care

6942-ABIOMED Inc. Legal Entity; Danvers (MA); On-site; USD 32,000 - 72,000; Part time

Job summary

Johnson & Johnson, based in Danvers, MA, is seeking a Data Science Co-op to support early-stage R&D programs on the Critical Care team (Applied Sciences & AI). The role involves solving data science problems, designing ML algorithms for products, and building analytics tools in a collaborative environment.

The program runs January 12 – June 26, 2026, with opportunities to work on DL models, NLP tasks, and cloud-based data pipelines. Eligible students must be authorized to work in the U.S.

Qualifications

• Senior or Grad student pursuing a degree in data science, CS, CE, software engineering, AI, or statistics.
• Strong ML background with deep learning experience (TensorFlow, Keras, PyTorch).
• Proficient in Python and solid understanding of data structures & algorithms.
• Solid understanding of statistics with strong analytical skills.
• Self-motivated with timely task execution and good communication skills.
• Experience with large language models and NLP tasks is a plus.

Responsibilities

• Assist in design and training of ML models for Clinical Decision Support.
• Provide input into process development and improvement.
• Analyze data and present results to the Engineering team.

Skills

Machine Learning

Python

Data Analysis

Communication

Deep Learning

NLP

Education

Senior or Grad student in data science / CS / CE / statistics

Tools

TensorFlow

Keras

PyTorch

NumPy

Pandas

Matplotlib

scikit-learn

NLTK

AWS/Azure/GCP

Hadoop/Spark/Hive

Job description

Johnson & Johnson, based in Danvers, MA, is seeking a Data Science Co-op to support early-stage R&D programs on the Critical Care team (Applied Sciences & AI). The role involves solving data science problems, designing ML algorithms for products, and building analytics tools in a collaborative environment.

The program runs January 12 – June 26, 2026, with opportunities to work on DL models, NLP tasks, and cloud-based data pipelines. Eligible students must be authorized to work in the U.S.