Advanced Clinical Research Co-op

Johnson & Johnson MedTech; Danvers (MA); On-site; USD 32,000 - 73,000; Part time

Job summary

Johnson & Johnson is seeking an Advanced Clinical Research Co-op in Danvers to help develop AI‑assisted methods for extracting clinical data from large PDF collections. You will transform records into structured databases to support real‑world evidence and analyses, collaborating with clinicians and data scientists.

The role blends clinical research, data science, and software development for cardiovascular research and medical devices, offering hands-on experience in modern data pipelines.

Qualifications

• Experience programming in Python and SQL with relational databases.
• Strong analytical and data-cleaning skills; attention to data quality.
• Ability to work with large datasets and follow validation procedures.

Responsibilities

• Develop methods for extracting structured data from PDF-based clinical documents.
• Evaluate OCR/NLP and AI-assisted extraction approaches.
• Design workflows to convert unstructured data into standardized datasets.
• Develop and maintain SQL databases for extracted data.
• Create and optimize SQL queries for data quality and research analyses.
• Validate extracted data against source documents and reference data.
• Document extraction issues and improvement opportunities.
• Harmonize variables according to data dictionaries and specs.
• Support automated pipelines to scale data collection.

Skills

Python

SQL

Data analysis

Problem solving

Attention to detail

Education

Computer Science

Data Science

Biomedical Informatics

Tools

PostgreSQL

SQL Server

MySQL

Git

Job description

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 Advanced Clinical Research Co-op to join our Advanced Clinical Research group located in Danvers. 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/

About The Role

We are seeking a motivated and technically minded co‑op student to support the development of innovative methods for extracting clinical data from large collections of source documents. A primary project will focus on transforming PDF‑based clinical records into structured databases that can support clinical research, real‑world evidence generation, and scientific analyses. This position combines elements of clinical research, data science, artificial intelligence, and software development. The successful candidate will work alongside clinical scientists to develop, test, and validate automated data extraction workflows while gaining exposure to cardiovascular medicine, medical devices, and clinical research. This is an excellent opportunity for students interested in healthcare data science, biomedical informatics, artificial intelligence, software engineering, clinical research, or medical devices.

Key Responsibilities

• Develop methods for extracting structured data from large collections of PDF‑based clinical source documents.
• Assist in evaluating and implementing document‑processing technologies, including Optical Character Recognition (OCR), Natural Language Processing (NLP), and AI‑assisted extraction methods.
• Design workflows to convert unstructured clinical information into standardized datasets.
• Develop and maintain databases for storing extracted clinical data.
• Create and optimize SQL queries to support data quality review and downstream research analyses.
• Validate extracted data against source documents and reference datasets to assess accuracy and completeness.
• Perform quality control reviews and document extraction errors, inconsistencies, and improvement opportunities.
• Harmonize extracted variables according to predefined data dictionaries and research specifications.
• Support the development of automated pipelines that improve the efficiency and scalability of clinical data collection.
• Contribute to multiple clinical research initiatives across the Advanced Clinical Research team.

Preferred Background

• Computer Science
• Data Science
• Biomedical Informatics
• Bioinformatics
• Biomedical Engineering
• Software Engineering
• Health Informatics
• Statistics
• Applied Mathematics
• Related quantitative discipline

Candidates from health sciences backgrounds with strong programming experience are also encouraged to apply.

Required Skills

• Experience programming in Python.
• Working knowledge of SQL and relational databases.
• Strong analytical and problem‑solving skills.
• Ability to work with large datasets and perform data cleaning and transformation tasks.
• Strong attention to detail and commitment to data quality.
• Ability to follow structured validation and documentation procedures.
• Excellent written and verbal communication skills.
• Ability to work independently while collaborating within a multidisciplinary research team.

Preferred Skills

• Experience processing PDFs, text files, or other unstructured data sources.
• Familiarity with OCR technologies and document‑processing tools.
• Exposure to machine learning, NLP, or Large Language Models (LLMs).
• Experience building data pipelines or automated workflows.
• Familiarity with PostgreSQL, SQL Server, MySQL, or similar database platforms.
• Experience with Git or version control systems.
• Exposure to healthcare, clinical, or biomedical datasets.
• Coursework or project experience involving artificial intelligence or data engineering.

What You Will Gain

• Hands‑on experience developing AI‑assisted clinical data extraction workflows.
• Experience working with large‑scale clinical datasets and real‑world source documents.
• Practical experience designing and building SQL‑queryable research databases.
• Exposure to modern data science, machine learning, and document‑intelligence technologies.
• Training in validation methodologies, quality control, and research data standards.
• Mentorship from clinical scientists, researchers, and data professionals working in the medical device and cardiovascular research space.
• Experience working cross‑functionally with scientists, clinicians, and technical teams.
• Preparation for future careers in data science, biomedical informatics, clinical research, healthcare AI, or medical devices.

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 https://www.jnj.com/contact-us/careers . Internal employees contact AskGS to be directed to your accommodation resource.

The anticipated base pay range for this position is :

$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.