Data Science Intern at Data Science and Digital Health (DSDH)

Learn more about Johnson & Johnson
Johnson & Johnson

Johnson & Johnson

Data Science Intern at Data Science and Digital Health (DSDH)

Titusville, NJ +1 location
Internship
Paid
  • Responsibilities

    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

    Job Function:

    Career Programs

    Job Sub Function:

    Non-LDP Intern/Co-Op

    Job Category:

    Career Program

    All Job Posting Locations:

    Beerse, Antwerp, Belgium, High Wycombe, Buckinghamshire, United Kingdom, New York, New York, United States, Titusville, New Jersey, United States of America, Zug, Switzerland

    Job Description:

    Johnson & Johnson is recruiting for a Data Science Intern at Data Science and Digital Health (DSDH) located in listed New York, NY; Titusville, NJ (USA) or Remote in USA, UK, Switzerland, Germany, or Belgium.

    The Machine Intelligence (MI) organization at J&J Data Science and Digital Health (DSDH) are hiring a student intern enrolled in educational programs in STEM areas. We are recruiting the interns for Summer 2025 or one school semester/quarter and expect the interns to conduct research and development of genAI based automation systems, write blog post based on J&J publication policy.

    The interns will be supervised and mentored by at least one JnJ Scientist with relevant background.

    We consider applicants with the following background as preferred candidates:

    • Natural language processing (NLP), understanding (NLU), and generation (NLG)
    • Bioinformatics and Computational Biology
    • Machine learning and statistics

    Basic Qualifications

    Education:

    Currently enrolled in degree program (BS, MS, or Ph.D.) or a post-graduate non-degree program in Bioinformatics, Electrical Engineering, Computer Science, Mathematics, or related field with specialization in computational biology, ML, NLP, Deep Learning, data science or related fields.

    Experience and Skills:

    • Strong understanding of programming languages such as Python and R and data manipulation libraries such as NumPy and pandas.
    • Knowledge of SQL and relational databases
    • Practical ML experience
    • Familiarity working with cloud computing environment such as Azure, AWS, or GCP

    Preferred Qualifications

    • Understanding of state machines such as AWS Step, Langgraph or similar frameworks
    • Strong command of and interest in Biomedicine
    • Research experience related to ML, deep learning (DL), NLP, CV and general DS
    • Published and/or presented papers at any recognized conferences or journals
    • Contributions to open-source projects and/or ML competitions

    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 and 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, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource.

    The anticipated base pay range for this position is :

    $22 per hour to $51.50 per hour

    Additional Description for Pay Transparency:

    The anticipated base pay for this position is between $22 per hour and $51.50 per hour but will be based on candidate's program year, discipline, degree and/or experience. This position is overtime eligible. Intern/Co-ops may be eligible to participate in Company employee benefit programs such as medical insurance, sick time, holiday pay, and the Company’s consolidated retirement plan in accordance with the terms of the applicable plans. Housing stipend will be offered for those that qualify. This position is ineligible for severance. For additional general information on Company benefits, please go to: https://www.careers.jnj.com/employee-benefits

  • Industry
    Hospital and Health Care
  • Locations
    Titusville, NJ • New York, NY
  • Fun Fact
    We aspire to be the world's healthiest work force, offering group fitness classes, beach volleyball courts, bicycle desks, and more!
  • About Us

    Push the boundaries of science to transform health—and your career.

    Join us and advance life-changing treatments for people who need them most. At Johnson & Johnson, our focus is on improving global health equity and developing MedTech and pharmaceutical innovations that impact the future of health. Using AI and robotics to transform surgery or helping data scientists and clinicians formulate new ways to diagnose and treat disease, this work may sound like sci-fi, but it’s all science, all real, and could be your career. Whatever your background, skills, or career goals, there’s a place for you to help solve some of the world’s most pressing health challenges with us.

    Accelerate your career while changing the world.

    Each of our broadly-based family of companies offers an inclusive and empowering culture and employee benefits (like paid time off to volunteer, transgender-inclusive and same-sex partner health insurance coverage, and more) designed to help you live your best life, however you define it. And our best-in-class learning and development approaches, mentorship, and access to innovators across the world will help you grow your skills and reach your career goals. Because when you're at your best, nothing stands between you and your next breakthrough.