Part-Time AI Software Engineering Intern UK (Full Stack) – Healthcare in Wakefield

Part-Time AI Software Engineering Intern UK (Full Stack) – Healthcare in Wakefield

Wakefield Internship 12 - 15 £ / hour (est.) Working from home possible
Princeton Biopartners

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 healthcare innovations.
  • Benefits: Flexible part-time hours, competitive pay, and mentorship from industry experts.
  • Other info: Diverse and inclusive team with excellent growth opportunities.
  • Why this job: Make a real impact on healthcare strategy while enhancing your technical skills.
  • Qualifications: STEM background with coding experience and a passion for problem-solving.

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 Wakefield 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.

Princeton Biopartners

Contact Details:

Princeton Biopartners Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Part-Time AI Software Engineering Intern UK (Full Stack) – Healthcare in Wakefield

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, as this is what we value at Princeton Biopartners.

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!

We think you need these skills to ace Part-Time AI Software Engineering Intern UK (Full Stack) – Healthcare in Wakefield

Full Stack Development
React
CSS
Node
Angular
Python
Java

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:Don’t just list your technical skills; provide examples of how you've used them in real-world scenarios. Whether it's a project, internship, or personal endeavour, we want to see your hands-on experience!

Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and ensure it gets the attention it deserves!

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 how you approach problem-solving. Think of specific examples where you’ve tackled challenges in your projects or studies. This role requires a structured thinker, so demonstrating your ability to break down complex problems will impress the interviewers.

Demonstrate Your Curiosity

Express your passion for building software that solves real-world problems, especially in healthcare. Share any personal projects or experiences that highlight your technical curiosity and initiative. This will resonate well with their focus on innovation and evidence generation.

Ask Insightful Questions

Prepare thoughtful questions about the company’s projects, culture, and the role itself. This shows that you’re genuinely interested in the position and eager to learn. Asking about their approach to integrating AI into their solutions can also demonstrate your alignment with their goals.