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- Tasks: Dive into AI/ML projects that shape the future of healthcare.
- Company: Join Johnson & Johnson, a leader in healthcare innovation.
- Benefits: Gain hands-on experience, mentorship, and build a portfolio.
- Why this job: Make a real impact on health solutions while learning from experts.
- Qualifications: Studying Computer Science, Data Science, or related fields with Python skills.
- Other info: Work in a dynamic environment across multiple European locations.
The predicted salary is between 500 - 1500 ÂŁ per month.
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.
Duration: 10 weeks (3–4 months)
Start: Summer 2026
Location: Multiple European locations; High Wycombe - UK, Issy-les-Moulineaux - FR, Allschwill - CH
Openings: Up to 2 positions
Caring for the world, one person at a time has inspired and united the people of Johnson & Johnson for over 130 years. We embrace research and science—bringing innovative ideas, products, and services to advance the health and well-being of people across the globe. J&J Innovative Medicine Research & Development is recruiting AI/ML Summer Interns to join Statistics & Decision Sciences (SDS) and Manufacturing & Applied Statistics (MAS). You’ll partner with practicing statisticians, data scientists, and software engineers on real-world problems at the intersection of AI and pharmaceutical R&D/manufacturing—gaining hands-on experience and exposure to industry best practices.
What you’ll work on
- AI for Scientific & Process Modeling: Design and prototype agentic AI workflows that discover, select, and fit mathematical models. Build and benchmark nonlinear curve-fitting and optimization routines; define quality/fit criteria and validation protocols. Generalize methods to additional pharma processes. Package your work into reusable components and documentation for scientist end-users.
- LLM Platform Integration for R Analytics: Help enable secure, enterprise LLM capabilities for R-based statistical workflows by developing and testing OpenAI-compatible API endpoints for a self-hosted LLM stack. Implement and validate OpenAI-style endpoints; support streaming and non-streaming modes. Add secure authentication, configuration for multiple models, and enterprise logging/guardrails.
- Evaluation Frameworks for Generative AI in Document Automation: Develop a practical, multi-method evaluation framework to assess the quality, reliability, and risks of generative AI solutions used for scientific and operational document automation. Translate research insights into a tailored framework for QSCP and SDS use cases. Define quality dimensions and establish metric thresholds, weighting schemes, and monitoring workflows.
Qualifications
Required: Enrolled in an accredited European university (Bachelor’s, Master’s, or PhD) in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field; available full-time 10 weeks between June 1 and Sept 30, 2026. Strong Python skills and sound software development practices with Git. Solid grounding in statistical modeling, regression, and optimization; ability to analyze noisy experimental data. Experience with machine learning concepts and modern LLM usage patterns/APIs. Clear, proactive communicator; able to work independently and in cross-functional teams. Legally authorized to work in the hiring country without current or future visa sponsorship.
Preferred (nice to have): Experience with R and the analytical ecosystem. Familiarity with OpenAI-compatible endpoints, FastAPI, microservices, and REST testing. Knowledge of vector databases, embeddings/RAG, and secure logging/guardrails in regulated settings. Exposure to Bayesian methods, uncertainty quantification, or PK/PD/process modeling. Cloud/containerization familiarity for scalable deployments.
What you’ll gain: Practical experience applying AI/ML to real pharmaceutical problems in R&D and manufacturing. Mentorship from senior statisticians/engineers and opportunities to present your work to stakeholders. A tangible portfolio: prototypes, APIs, tests, and documentation that can be adopted by end users.
AI/ML Summer Intern u2014 Statistics & Decision Sciences (SDS) in High Wycombe employer: J&J Family of Companies
Contact Detail:
J&J Family of Companies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/ML Summer Intern u2014 Statistics & Decision Sciences (SDS) in High Wycombe
✨Tip Number 1
Network like a pro! Reach out to current or former interns at Johnson & Johnson on LinkedIn. Ask them about their experiences and any tips they might have for landing the internship. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Since this role involves AI/ML, be ready to discuss your projects and how you've applied Python and statistical modelling in real-world scenarios. Practice explaining complex concepts in simple terms.
✨Tip Number 3
Show your passion for healthcare innovation! Research Johnson & Johnson’s latest projects and think about how your skills can contribute to their mission. Bring this enthusiasm into your conversations during interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the team. Make sure to tailor your application to highlight your relevant skills and experiences.
We think you need these skills to ace AI/ML Summer Intern u2014 Statistics & Decision Sciences (SDS) in High Wycombe
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI/ML Summer Intern role. Highlight relevant skills like Python, statistical modelling, and any experience with machine learning. We want to see how your background fits with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and healthcare innovation. Share specific examples of your projects or experiences that relate to the internship. Let us know why you want to join our team!
Showcase Your Projects: If you've worked on any relevant projects, whether in school or on your own, make sure to mention them. Include links to GitHub or any other platforms where we can see your work. We love seeing practical applications of your skills!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, it shows you're serious about joining StudySmarter and contributing to our mission in healthcare innovation.
How to prepare for a job interview at J&J Family of Companies
✨Know Your Stuff
Make sure you brush up on your Python skills and statistical modelling concepts. Be ready to discuss your experience with machine learning and how you've applied it in real-world scenarios. This will show that you're not just familiar with the theory but can also put it into practice.
✨Show Your Passion for AI/ML
Johnson & Johnson is all about innovation in healthcare, so express your enthusiasm for AI and machine learning in this field. Share any personal projects or research you've done that relates to AI/ML, especially if it ties back to healthcare or pharmaceuticals.
✨Prepare Questions
Interviews are a two-way street! Prepare thoughtful questions about the internship, the team you'll be working with, and the projects you'll be involved in. This shows you're genuinely interested and helps you assess if the role is the right fit for you.
✨Practice Problem-Solving
Expect some technical questions or case studies during the interview. Practice solving problems related to AI workflows or statistical analysis. Being able to think on your feet and demonstrate your problem-solving skills will impress the interviewers.
