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

2026-05-28T00:00:00

Cheltenham

Gloucestershire

UK

GL50 3

Any

Apply4U

2026-06-25T08:18:39.54

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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.

Learn more about our culture here:

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.

#s1-Gen

Must HavesUK-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 supervisionTechnical curiosity: passion for building software that solves real-world problemsStructured thinker: strong problem-solving and communication skillsProduct-minded: interested in user experience and pragmatic solutionsHands-on coder: capable of delivering clean, working code efficiently, leveraging AI where appropriate to maximize speed and output

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.

Key ResponsibilitiesContribute to the design and development of web and data-driven applicationsWrite clean, testable, and efficient code using modern web technologiesSupport data visualization and reporting tools for client projectsHelp deploy and integrate software solutions into consulting deliverablesMaintain clear, well-structured documentation
Technical SkillsFamiliarity 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 projectsBonus: interest in machine learning, data engineering, or visualization
What You'll GainMentorship: opportunity to discuss and review your work with senior software and data engineers who have prior experience at Goldman Sachs, Microsoft, Uber, and McKinseyReal-world impact: apply technical skills to projects shaping healthcare strategy and evidence generationFlexibility: 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 roleCompensation: 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.

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