Commercial Data Science & AI Co-op

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. Job Function: Career Programs Job Sub Function: Non-LDP Intern/Co-Op Job Category: Career Program All Job Posting Locations: Raritan, New Jersey, United States of America Job Description: About MedTech Fueled by innovation at the intersection of biology and technology, we're developing the next generation of smarter, less invasive, and more personalized solutions to improve patient outcomes around the world. At Johnson & Johnson MedTech, we combine data, analytics, artificial intelligence, and deep commercial expertise to enable better decision-making and drive meaningful business impact. Job Description This position has allocated resources for relocation support. We are searching for the best talent for a Data Science & AI Co-Op within the Digital & Commercial Innovation organization. We are looking for a motivated and analytical co-op to support the development of machine learning and generative AI solutions for commercial and healthcare analytics. Potential projects include using data science to improve e-commerce customer engagement and scaling AI-enabled approaches for medical procedure code labeling across clinical specialties. The successful candidate will have the opportunity to work directly on applied analytics initiatives while collaborating with data scientists, commercial stakeholders, subject matter experts, and technology teams. Key Responsibilities Support development of machine learning and AI solutions that improve customer engagement and commercial decision-making. Analyze commercial, e-commerce, and healthcare datasets to identify trends, opportunities, and actionable insights. Assist with development and evaluation of predictive models, generative AI applications, and retrieval-augmented generation solutions. Support expansion of AI-enabled procedure code labeling capabilities, including specialty-specific prompt development, testing, and documentation. Develop dashboards, visualizations, and analytical tools that translate data into business recommendations. Evaluate model performance, data quality, and analytical integrity across data science solutions. Collaborate with business stakeholders and subject matter experts to translate business challenges into analytical solutions. Develop technical documentation, reports, and presentations that communicate findings and recommendations. Qualifications Education We are seeking for undergraduates (Senior), as well as candidates currently pursuing a Master's, or PhD degree in one of the following fields: Data Science Computer Science Artificial Intelligence Statistics Analytics Mathematics Engineering or Software Engineering Information Systems or Business Analytics Biomedical Informatics Health Data Science Other related quantitative disciplines Required Skills Python programming experience SQL and data manipulation Machine learning fundamentals Statistical analysis and model evaluation Data visualization and storytelling Strong analytical and problem-solving skills Experience working with large datasets Strong written and verbal communication skills Preferred Skills Generative AI, prompt engineering, or retrieval-augmented generation Natural language processing or text classification Predictive modeling or customer analytics Databricks or cloud computing platforms Power BI, Tableau, or Streamlit Healthcare, life sciences, e-commerce, or commercial analytics experience Explainable AI or responsible AI techniques Mentorship & Support The intern will receive direct mentorship from Digital Innovation team members and gain hands-on experience delivering solutions used by real business stakeholders. The intern will have opportunities to contribute to multiple automation and AI initiatives while developing technical and professional 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. 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. Required Skills: Preferred Skills: 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. C