At a Glance
- Tasks: Develop innovative digital solutions in healthcare while collaborating with senior leadership.
- Company: Join a top strategy consulting firm recognised for AI-enabled innovations in biopharma.
- Benefits: Flexible part-time hours, competitive pay, and mentorship from industry experts.
- Other info: Gain exposure to consulting and potential for long-term career growth.
- Why this job: Make a real impact on healthcare strategy while enhancing your technical skills.
- Qualifications: Pursuing or completed a STEM degree; coding skills in modern web technologies required.
The predicted salary is between 12 - 15 £ per hour.
Princeton Biopartners is a best-in-class strategy consulting firm serving the life sciences sector. We partner with Fortune 500 biopharmaceutical companies on strategic projects, combining advisory and software solutions to improve the evidence base, accessibility, and impact of biomedical innovations. Princeton Biopartners was also recognized with the “Evidence Generation Software of the Year 2026” award by Life Sciences Review for our innovation in AI-enabled evidence generation and planning solutions.
We are looking for a part-time AI Software Engineering Intern (Full Stack) to support the development of digital solutions that complement our consulting work. This is a unique opportunity to apply your technical skills in healthcare and gain exposure to the business side of biopharma, while working closely with senior leadership.
Must Haves
- UK-based (mandatory, remote role)
- STEM background: pursuing or recently completed a degree in Computer Science, Engineering, Data Science, or related field (top competitive programs preferred, such as at Oxbridge or Imperial)
- Independent & proactive: able to take initiative, act autonomously, and deliver with limited supervision
- Technical curiosity: passion for building software that solves real-world problems
- Structured thinker: strong problem-solving and communication skills
- Product-minded: interested in user experience and pragmatic solutions
- Hands-on coder: capable of delivering clean, working code efficiently, leveraging AI where appropriate to maximize speed and output
Key Responsibilities
- Contribute to the design and development of web and data-driven applications
- Write clean, testable, and efficient code using modern web technologies
- Support data visualization and reporting tools for client projects
- Help deploy and integrate software solutions into consulting deliverables
- Maintain clear, well-structured documentation
Technical Skills
- Familiarity with modern web technologies (React, CSS, Node, Angular, etc.)
- Proficiency in at least one general-purpose programming language (Python preferred; Java, C++, etc. also considered)
- Understanding of core computer science principles (data structures, algorithms, complexity)
- Exposure to DevOps practices (e.g., GitHub workflows, CI/CD)
- Desirable: experience with Azure or healthcare-related data projects
- Bonus: interest in machine learning, data engineering, or visualization
What You’ll Gain
- Mentorship: opportunity to discuss and review your work with senior software and data engineers who have prior experience at Goldman Sachs, Microsoft, Uber, and McKinsey
- Real-world impact: apply technical skills to projects shaping healthcare strategy and evidence generation
- Flexibility: part-time hours that fit around academic or personal commitments. Minimum expectation is 5 hours per week, with a minimum duration of two months (longer-term commitment strongly desired)
- Growth: mentorship, exposure to consulting, and potential for transition into a long-term role
- Compensation: competitive hourly rate, commensurate with experience
Princeton Biopartners is committed to building a diverse and inclusive team. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy or related conditions), sexual orientation, gender identity, age, veteran status, disability, or other legally protected characteristics.
Part-Time AI Software Engineering Intern UK (Full Stack) – Healthcare in Colchester employer: Princeton Biopartners
Princeton Biopartners is an exceptional employer, offering a unique opportunity for a Part-Time AI Software Engineering Intern to engage in meaningful projects that shape the future of healthcare. With a strong focus on mentorship from industry leaders and a flexible work culture that accommodates academic commitments, interns can expect to grow their technical skills while contributing to impactful biopharma solutions. The company's commitment to diversity and inclusion further enhances its appeal as a workplace where every voice is valued.
StudySmarter Expert Advice🤫
We think this is how you could land Part-Time AI Software Engineering Intern UK (Full Stack) – Healthcare in Colchester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at Princeton Biopartners or similar firms. A friendly chat can open doors and give you insights that might just land you that internship.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to healthcare or AI. When you apply through our website, include links to your GitHub or any relevant work to impress the hiring team.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss how you can contribute to real-world projects, and don’t forget to highlight your passion for user experience!
✨Tip Number 4
Follow up after your application! A quick email thanking them for the opportunity and expressing your enthusiasm can keep you on their radar. Remember, we love proactive candidates who take the initiative!
We think you need these skills to ace Part-Time AI Software Engineering Intern UK (Full Stack) – Healthcare in Colchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the role. Highlight your STEM background and any relevant projects or coursework that showcase your technical abilities in software engineering.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about healthcare and how your skills can contribute to our mission. Be genuine and let your personality shine through while keeping it professional.
Showcase Your Technical Skills:In your application, mention specific technologies you’re familiar with, like React or Python. If you've worked on any projects, describe them briefly to give us a sense of your hands-on coding experience.
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your materials and ensures you’re considered for the role without any hiccups!
How to prepare for a job interview at Princeton Biopartners
✨Know Your Tech Stack
Make sure you’re familiar with the modern web technologies mentioned in the job description, like React, Node, and CSS. Brush up on your coding skills in Python or any other programming language you’re comfortable with. Being able to discuss your experience with these tools will show that you’re ready to hit the ground running.
✨Show Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex problems. Think about how you approached these challenges and what solutions you implemented. This will demonstrate your structured thinking and ability to deliver pragmatic solutions, which is key for this role.
✨Express Your Passion for Healthcare
Since this role is in the healthcare sector, it’s important to convey your interest in how technology can improve healthcare outcomes. Share any relevant projects or experiences that highlight your enthusiasm for using software to solve real-world problems in this field.
✨Ask Insightful Questions
Prepare a few thoughtful questions to ask during the interview. This could be about the company culture, the team you'll be working with, or the specific projects you might be involved in. Asking questions shows your genuine interest in the role and helps you assess if it's the right fit for you.
