At a Glance
- Tasks: Own product features from concept to launch, enhancing scientific workflows.
- Company: Join a cutting-edge tech company focused on scientific automation.
- Benefits: Competitive salary, flexible work options, and opportunities for growth.
- Other info: Dynamic team environment with a focus on scientific advancement.
- Why this job: Make a real impact in science with innovative technology and collaboration.
- Qualifications: 5+ years in product/software engineering with strong full-stack skills.
The predicted salary is between 60000 - 80000 £ per year.
- Job Responsibilities
- Own features end-to-end — from a rough product hypothesis to a shipped, instrumented experience scientists rely on daily.
- Work across the application layer — frontend state, API contracts, real-time data flows — making sound calls on systems that are already in use.
- Ramp quickly into live systems and make them better — building new features and surfaces while strengthening what's already there.
- Coordinate across the teams whose work feeds this surface — Machine Learning, AI Research, Data Engineering, and Platform — communicating proactively and driving clarity where requirements are still forming.
- Turn loosely-specified problems into shippable scope: prototype, get it in front of real users, iterate.
- Hold the line on reliability and user experience — these are scientific workflows where reproducibility and provenance matter.
Requirements
- 5+ years of product / software engineering experience
- Strong track record in a fast-moving environment — you've shipped real products, taken ownership without being asked, and know what good looks like.
You bring an entrepreneurial mindset.
- A full-stack engineer with frontend as your primary surface.
You're confident with Type Script/Java Script and React (or similar) and comfortable owning the whole stack — APIs, data flows, and the systems beneath.
- Strong product sense — you make and explain trade-offs between technical and UX considerations.
- A proactive communicator who manages dependencies across teams and surfaces issues early.
- Genuinely drawn to autonomous labs and scientific automation, and curious about the people you're building for.
- Nice to Have
Not strictly required – any of these is a meaningful plus
- Prior experience building software in or close to a scientific environment — alongside scientists, in pharmaceutical companies, biotech, or research/clinical lab settings.
- Familiarity with instrument APIs, lab protocols, and the data-quality expectations of scientific workflows.
- Experience building AI/ML-powered product features, or working closely with ML teams to bring models into a product.
- Experience with human-in-the-loop or human–machine interaction products.
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We think you need these skills to ace Product Engineer in Oxford
Product Ownership
Full-Stack Development
TypeScript
JavaScript
React
API Development
Data Flow Management
