Full Stack Developer — Data Science Specialist (Internship to Permanent)
Summary
Paid 3-month internship leading to a permanent founding-engineer (IT Lead) role at a UK forensic genomics startup. You own the tech stack end to end: design and deploy MVPs on AWS, administer Microsoft Office and ZOHO (all apps), and apply data science and AI with R/R Shiny for BSID and its open-source bioinformatics community, AGOSS.
This is a remote position.
Full Stack Developer — Data Science Specialist (Internship to Permanent)
Term: This role begins as a paid 3-month internship (pay details to be discussed, based on location). Successful completion leads to an offer of permanent employment. You would be one of BSID's first employees — a genuine founding role with the scope and responsibility that comes with it.
What You'll Do
- Act as BSID's Data Science Specialist — own our technology stack end to end, as employee #1
- Own AWS architecture — design, deploy, and launch MVPs for trial.
- Lead administration during early phase
- Work directly with external partners (Microsoft, ZOHO, Salesforce, Amazon (AWS), and third-party bioinformatics companies) to develop and launch new products, with fast turnaround and disciplined document control
- Manage and provide back-end support for our open-source community, AGOSS
- Apply data science and AI methods (R, R Shiny, and related platforms) to real product and research problems
- Administer and configure Microsoft Office and ZOHO (all apps), and act as development lead on the back end
- Document your work in detail as you go — decisions, architecture, and processes, not just code
Requirements
Attitude & Mindset
- Genuine start-up mentality — comfortable with ambiguity, wearing many hats, and moving fast
- Enjoys experimenting, and documents what you try in enough detail that others can follow it
- Takes ownership: sees problems through to a working solution rather than handing them off
- Strong problem-solver with a bias toward getting things done
- Entrepreneurial, with a builder mindset — you want to make things exist, not just plan them
- Committed to ongoing learning and development
- Believes in open source and open science as a matter of principle, not just practice
Knowledge, Skills & Qualifications
- Ideally UK-based and UK Passport holders
- Fresh Graduates (0-1 year) from Accredited UK Universities with BA, BSc, BTech, BEng in Computer Science, Mathematics or Data Science. Academic achievement of 2-1 or higher. No diplomas or online certificates.
- Efficient coding skills (range of languages, tools and AI-assisted pathways)
- Strong administrator-level knowledge of Microsoft Office and ZOHO (all apps), and able to act as development lead on the ZOHO back end
- Full AWS administration and architecture experience, with a track record of launching MVPs for trial
- Proficient in R and R Shiny, plus familiarity with other data science platforms
- A strong academic foundation in mathematics and physics (assessed during screening)
- A solid grounding in AI and AI-based solutions
- Knowledge of biology and bioinformatics is beneficial but not essential
- A genuine belief in open source and open science
All of the above will be evaluated during the screening and project task stages of the interview process.
Interview Process
- BSID 360 Evaluation
- Project Task
- Panel Interview
- Manager Interview
- HR Interview & Logistics
- Welcome to Biosecure ID
How to Apply
If this sounds like you, we would love to hear from you — send your CV and a short note on why you want to build with us.
Benefits
Benefits
What we offer once you complete your 3-month internship and move into the permanent role:
- Equity: a real stake in what you help build, not just a paycheck
- Ownership from day one — you'll lead real projects, not shadow someone else's
- Support for your professional record: time and backing to publish papers, file patents, or co-author inventions that come out of your work here
- Room to build in the open — we encourage contributions to open-source tools, including AGOSS, and we'll credit the people behind the work, not just the company
- A genuine learning budget — courses, certifications, conferences, whatever helps you get better at the problem in front of you
- Flexibility — flexible hours and hybrid/remote arrangements wherever the lab work allows it
- Honest, generous time off, and transparency about where the company stands, so trust isn't something we ask you to take on faith
- Health insurance, because good work shouldn't come at the cost of your health
- Proximity to impact — your work reaches an actual forensic case, an actual diagnosis, and helps prevent future pandemic