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:** US337 MA Cambridge - 301 Binney St **Job Description:** **R&D Data Science & Digital Health DSAI Intern Summer 2025** Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine In this role, you will work with colleagues in the JNJ Innovative Medicine R&D Data Science & Digital Health organization and partner with key businesses across JNJ Innovative Medicine (formerly Janssen) to apply advanced data science and analytics to answer key research questions. As an intern, you will get the opportunity to work on cutting-edge problems at the intersection of machine learning and drug discovery. You will be a member of a dynamic team comprising data scientists and subject matter experts to create and iterate on data science solutions. Projects include, but are not limited to, developing, and applying predictive and generative machine learning methods for molecular property prediction with the ultimate goal of drug discovery. Interns could be located out of Leiden office as well as remote. **Minimum qualifications:** **Currently pursuing a Masters or PhD degree in Statistics, Biostatistics, Data Science, Computer Science, Electrical Engineering, Computational Biology, Biomedical Informatics, or related quantitative discipline.** **Strong working knowledge of machine learning with demonstrated research experience, as evidenced by publications, public code contributions, or equivalent.** **Proficiency in Python and hands-on experience with Deep Learning frameworks such as PyTorch or TensorFlow to tackle scientific problems.** **Strong technical communication and presentation skills.** **Ability to understand academic research papers.** **Preferred qualifications:** Experience in one or more of the following: **Extensive research experience in Multimodal Deep Learning, Large Language Models (LLMs), and/or Graph Neural Networks (GNNs).** **Knowledge of and interest in histopathology images, with experience working with multi-omics datasets.** **Responsibilities:** **Development and evaluation of predictive and generative machine learning algorithms to analyze WSI and Omics data for biomarker discovery and patient stratification, etc.** **Collaborate closely with other machine Learning scientists, computational biologist and chemists to develop and execute a research project.** 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 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 FOR CANADA: Applicable pay range: 21$ per hour to 27$ 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-benefitsCheck and update as necessary the collaborators and additional information (e.g.: RPI/RPO)