Data Science Intern at Johnson &… · Cambridge

Summary: Johnson & Johnson is a leader in healthcare innovation, committed to improving health for humanity. They are seeking a highly motivated Data Science Intern to support research and development initiatives focused on foundation models for biologics manufacturing, working closely with AI/ML and DPDS teams to develop novel modeling approaches and translate advanced analytics into real-world impact. Responsibilities: - Collaborate with AI/ML scientists and domain experts to develop and evaluate foundation models for biologics manufacturing data - Translate manufacturing and supply chain use cases into modeling objectives, benchmarks, and evaluation strategies - Analyze large scale, high dimensional process and analytical datasets to uncover patterns and insights - Present analytical findings and model outcomes to cross functional stakeholders, clearly connecting results to project goals - Contribute to technical reports, white papers, and publications targeting high impact conferences and/or journals Required Qualifications: - Completion of Undergraduate Freshman year at an accredited University is required - Currently pursuing a Ph.D. in Computer Science, Statistics, Applied Mathematics, Computational Biology, Chemical Engineering, or a related field - Have a cumulative GPA of 2.8 or higher, which is reflective of all college coursework - Strong hands on experience in AI/ML research, including representation learning, deep learning, or foundation models - Proficiency in Python and common AI/ML libraries (e.g., PyTorch, TensorFlow, JAX, scikit learn) - Familiarity with large scale, noisy, or time series data; experience with manufacturing, biological, or multimodal data is a plus - Strong written and verbal communication skills, with the ability to collaborate effectively in cross functional research teams - 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 Required Skills: AI/ML research, Python, deep learning Important Skills: foundation models, large scale data Nice-to-Have Skills: collaboration skills Benefits: 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).