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About Princeton Biopartners Princeton Biopartners is a best-in-class strategy consulting and AI software firm serving the global life sciences sector. We partner with Fortune 500 biopharmaceutical companies on high-impact strategic initiatives, combining advisory expertise with proprietary software solutions to improve the evidence base, accessibility, and impact of biomedical innovations. We’re a tech and AI-first firm, and AI fluency is expected in how we build, operate, and deliver. Princeton Biopartners was recently 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. Learn more about our culture here: https://www.youtube.com/watch?v=zhTrmcIc-WE&t=2s The Role We are hiring a full-time Full Stack Software Engineer to help build the next generation of AI-enabled software products supporting evidence generation, medical strategy, and pharmaceutical decision-making. This is a high-ownership role within a fast-growing entrepreneurial company operating at the intersection of strategy consulting, healthcare, and AI. You will work directly with senior leadership, engineers, consultants, and pharmaceutical stakeholders to shape and build products used by leading global biopharma organizations. Our engineers are not siloed away from the business. They operate close to strategic problems, influence product direction, and contribute directly to systems that support real-world healthcare decision-making. Your work will be visible from day one, and you’ll have significant influence over the products, workflows, and infrastructure we build. We look for engineers who are genuinely self-directed, highly accountable, and energized by solving problems without waiting for instructions. You’ll grow faster here than you would in a traditional large-company environment, but we also operate with a very high performance bar and expect exceptional attention to detail and ownership. What We’re Looking For • UK-based (mandatory, remote role), • Minimum 1 year of full-time experience in a software engineering, startup, or technology role required, • Degree in Computer Science, Engineering, Mathematics, Physics, Data Science, or a related STEM discipline from a top-tier institution such as Oxford, Cambridge, Imperial, or an Ivy League university, • AI-native and fluent in modern AI-assisted software development workflows, • Exceptional ownership mentality with strong accountability and follow-through, • Highly proactive self-starter capable of operating autonomously in a fast-paced environment, • Comfortable operating in ambiguity and translating loosely defined problems into pragmatic technical solutions, • Strong product intuition and ability to balance speed, quality, and practicality, • High attention to detail and commitment to delivering polished, production-quality work, • Strong communication skills and ability to collaborate directly with senior stakeholders Key Responsibilities • Design and build modern full stack applications supporting AI-enabled healthcare and evidence-generation workflows, • Develop scalable frontend and backend systems using modern frameworks and cloud infrastructure, • Leverage AI tools and copilots to accelerate development speed, testing, debugging, and prototyping, • Collaborate closely with consultants and leadership to rapidly translate business problems into software solutions, • Help shape the architecture, tooling, workflows, and engineering standards underpinning our AI platform, • Contribute to product direction, feature prioritization, and user experience decisions, • Build internal tools, dashboards, automation systems, and client-facing applications, • Maintain clear technical documentation and structured engineering practices Technical Skills • Strong experience with modern web technologies (React, TypeScript, Node.js, Next.js, APIs, CSS frameworks), • Proficiency in Python strongly preferred, • Solid understanding of software engineering fundamentals, architecture, data structures, and system design, • Experience using GitHub, CI/CD workflows, and cloud infrastructure, • Familiarity with Azure is a plus, • Bonus: experience with AI tooling, LLM integrations, vector databases, data engineering, or healthcare/life sciences data What We Offer • Significant ownership and autonomy from day one, • Opportunity to shape the direction of products deployed within leading global biopharma organizations, • Direct exposure to senior pharmaceutical, consulting, and technology leadership, • Fast career progression within a high-growth AI and strategy firm, • Flexible remote working environment, • Access to premium London workspaces and members clubs, • Competitive compensation, commensurate with experience, • Opportunity to become an early core team member helping shape the future of the business Equal Opportunity 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.

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: https://www.youtube.com/watch?v=zhTrmcIc-WE&t=2s 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.

AI Applications Specialist Remote – UK £70-80k depending on experience We're working with a fast-moving deep-tech company building category-defining hardware in one of the largest industrial sectors in the world. To move faster than anyone else, they are aggressively integrating AI across every layer of the business, from engineering and finance to operations and outreach. They need a highly technical, systems-minded operator who lives and breathes AI tools and knows how to deploy them at scale inside a real company. This is not a "prompt engineer" role. This is about building real systems that drive leverage across the business. Responsibilities of the role: • Deploy AI systems across the company, building and managing agent workflows with tools like Claude Code, Codex and similar, and automating internal processes across engineering, finance, operations and outreach., • Build agent-driven infrastructure, designing multi-agent systems that execute end-to-end (research, modelling, outreach) and managing local and distributed compute (e.g. Mac Mini clusters)., • Own the automation stack, implementing workflows with Clay, n8n, OpenClaw and similar, and integrating APIs, databases and internal tools into cohesive systems., • Drive internal leverage, identify bottlenecks, and eliminate them using AI, so small teams can operate like much larger ones. Requirements to be successful: • Deep hands-on experience with Claude Code, OpenAI Codex (or similar), Clay, n8n, and OpenClaw (or equivalent agent frameworks)., • A proven track record of building real AI systems (not just demos), deploying multi-step automated workflows, and running agents in production., • Strong technical ability. Comfortable with APIs, scripting and system design, and able to debug and iterate quickly., • Graduate or early-career, ideally from a top university (Oxford, Cambridge, MIT, Imperial, or similar) with a background in Mathematics, Computer Science, Physics, Engineering or related., • Exceptionally sharp, fast-moving, intellectually curious. You use AI tools every day and push them to their limits. Ideally with experience building: • autonomous research agents that gather, synthesise and structure data at scale, • fully automated outbound pipelines (sourcing, enrichment, messaging, follow-up), • AI-driven financial modelling workflows. If you think this role could be a good fit, send your CV and any work examples over and we can set up a call.

CNC Turner Salary package £38,000- 41,000, + overtime, North Somerset BS40, Monday to Friday 8.00am - 5.30pm Including 1 hour of fully paid breaks every day) no shifts, pension, 23 days holiday + bank holidays, free workwear, permanent role. Stable and successful precision engineering company recruiting for a cnc turner in a friendly workshop environment reporting to the production manager. The cnc turner will involve Setting and operating cnc turning machines Editing or programming would be advantageous but not essential Knowledge of mazak or citizen turning machines would be of interest Reading and interpreting engineering drawings Manage your own workload with jobs allocated from the production manager Machining precision engineered parts producing small batches and medium size batches Skills required for the cnc turner You are likely to have experience in producing machined parts from engineering drawings. cnc turning experience with mazaks or citizen machines is preferred but not essential Precision engineering working in imperial city & guilds, nvq or equivalent engineering qualifications or time served in machining could also be suitable if you can demonstrate a suitable track record The successful candidate may have served an engineering apprenticeship as a skilled machinist, however candidates who are time served in machining could also be suitable if they can demonstrate a suitable track record in cnc turning...

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