OR Platform Bodhi CGT Research Team Careers Contact
Now Hiring

Build AI That Makes Surgery Safer

Join a team of engineers, surgeons, and scientists developing vision systems that protect patients in the operating room and advance cell & gene therapy manufacturing.

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Real-World Impact

Your code ships to hospitals. Every model improvement directly reduces wrong-instrument surgical errors and improves patient outcomes at leading medical institutions.

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Ownership & Speed

Early-stage team, funded programmes, clear direction. You won't wait years to see your work deployed — features ship in weeks, not quarters.

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Cambridge & Philadelphia

Based in two of the world's strongest biotech ecosystems, with clinical validation partners at Thomas Jefferson, UCL, Temple University, and more.

Open Positions

Current Opportunities

We're growing our team across AI engineering, clinical operations, and product development.

AI Vision Engineer
Sterile Processing & Surgical Instrument Recognition
📍 Cambridge, UK 💼 Full-Time or Internship 🧠 Computer Vision & Deep Learning 👥 Reports to CEO / CTO

Own and improve the core vision pipeline that identifies surgical instruments being packed into trays. This is not a research-only position — you will ship production code that runs in real OR environments. Work across the full ML lifecycle: data preparation, model training, evaluation, deployment, and monitoring.

Key Responsibilities

  • Improve instrument identification accuracy across diverse tray configurations and lighting conditions
  • Reduce inference latency for real-time feedback during the packing workflow
  • Build robustness against edge cases: reflective surfaces, overlapping instruments, partial occlusions, and variable wear
  • Develop and maintain the data pipeline (annotation, augmentation, model retraining)
  • Collaborate with the clinical team to translate SPD workflow requirements into technical specifications
  • Contribute to expanding platform capabilities: instrument condition assessment, tray completeness verification, and hospital inventory integration

Essential Requirements

  • Strong foundation in computer vision and deep learning (object detection, instance segmentation, image classification)
  • Hands-on experience with PyTorch or TensorFlow and modern vision architectures (YOLO, Detectron2, Vision Transformers, or similar)
  • Proficiency in Python; comfort with Git and collaborative development
  • Ability to work across the full ML lifecycle: data preparation, model training, evaluation, deployment, and monitoring
  • Genuine interest in building systems that work reliably in the real world, not just on benchmarks

Highly Valued

  • Experience with edge deployment and model optimisation (ONNX, TensorRT, quantisation)
  • Background in fine-grained visual recognition, metallic/reflective object detection, or industrial inspection
  • Familiarity with camera systems, lighting setups, and physical constraints of real-world vision deployments
  • Experience with MLOps tooling (experiment tracking, data versioning, CI/CD for ML)
  • Published research or a Master's/PhD project in a relevant area

Internship Track

  • Structured 3-month paid internship with a clear conversion path to a full-time role
  • Designed around a concrete deliverable — for example, improving instrument segmentation robustness under variable SPD lighting
  • Suited to final-year undergraduates, Master's students, or recent graduates looking for high-ownership roles
Ask a Question

Apply for AI Vision Engineer

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Stem Cell & CGT Research Scientist
iPSC, Organoid & AI-Integrated Cell Manufacturing
📍 Babraham Research Campus, Cambridge, UK 💼 Full-Time or Contract 🧬 Stem Cell Biology & CGT 👥 Reports to CSO

Build a new stem cell platform from the ground up within a growing CGT company. Work at the cutting edge of AI + automation + cell therapy manufacturing, based at Babraham Research Campus — one of the UK's leading life science hubs. High ownership role with direct impact on technology, IP, and company direction.

Key Responsibilities

  • Establish and optimise iPSC culture workflows, including surface coating strategies (e.g. Matrigel, vitronectin, synthetic matrices) and scale-up approaches compatible with roller bottle and automated systems
  • Develop and evaluate organoid and 3D culture systems, including feasibility within closed or semi-automated platforms
  • Design and implement AI-assisted imaging workflows for real-time quality control of iPSC colony morphology, differentiation efficiency, and organoid formation and maturity
  • Build and curate a proprietary cell imaging dataset ("cell atlas") to support machine learning model development
  • Develop directed differentiation protocols for iPSC-derived cell types relevant to CGT and allogeneic cell therapy applications
  • Collaborate with engineering and data science teams to integrate biological workflows into the Bodhi platform
  • Contribute to grant applications, technical reports, and publications, supporting funding efforts (e.g. Innovate UK, UKRI)

Essential Requirements

  • PhD (or equivalent experience) in stem cell biology, regenerative medicine, CGT, or related field
  • Strong hands-on experience with iPSC & MSC culture and maintenance
  • Experience with stem cell QC characterisation, passaging, and differentiation workflows
  • Experience with adherent cell culture scale-up (e.g. coated surfaces, multilayer systems, microcarriers, or bioreactors)
  • Proven ability to design, execute, and troubleshoot experiments independently
  • Experience with cell imaging techniques (brightfield, phase contrast, fluorescence microscopy)
  • Strong analytical mindset and data-driven approach to experimental optimisation
  • Interest in applying AI / computational methods to biological systems

Highly Valued

  • Experience with 3D culture systems (organoids, spheroids, extracellular matrix-based systems)
  • Expertise in iPSC differentiation into therapeutically relevant lineages (e.g. neural, cardiac, hepatic, immune)
  • Familiarity with automated or semi-automated culture platforms (bioreactors, liquid handlers, robotics)
  • Experience with image-based assays and quantitative image analysis (e.g. CellProfiler, FIJI/ImageJ)
  • Programming skills (Python, R, MATLAB) for data analysis or image processing
  • Track record of peer-reviewed publications in stem cell biology, organoids, or CGT

Nice to Have

  • Exposure to GMP or regulatory environments (MHRA, EMA, FDA awareness)
  • Experience with viral vectors (AAV, lentivirus) or transfection/transduction workflows
  • Knowledge of label-free imaging, morphomics, or phenotypic profiling approaches
  • Familiarity with machine learning concepts applied to biological imaging
Ask a Question

Apply for Stem Cell & CGT Research Scientist

No formal cover letter needed — tell us what excites you about this role and how your background fits.

📄
Click to upload or drag and drop
PDF, DOC, or DOCX — max 5 MB
Your information will be sent directly to the Appraiseye team. We review every application.
Why Appraiseye

What Sets Us Apart

We're building technology that matters, with a team that moves fast and cares deeply.

🎯 End-to-End Ownership

You won't be tuning a sub-module inside a giant pipeline. You'll own core systems end-to-end and see your decisions ship to real clinical environments.

🏥 Direct Patient Impact

Every improvement directly reduces the risk of wrong-instrument surgical errors. This is not an abstract metric — it affects real patients.

🤝 World-Class Clinical Network

Work alongside surgeons, SPD professionals, and clinical researchers at top-tier medical institutions including Thomas Jefferson, UCL, and Temple University.

📈 Growth Trajectory

Early-stage team with NIH SBIR funding, Innovate UK grants, published research, and a clear product-market direction. Equity and advancement commensurate with contribution.

🧬 Cambridge Ecosystem

Be part of one of the strongest AI and biotech clusters in the world, with access to the university, Babraham Research Campus, and a thriving startup community.

🌐 Visa Sponsorship

We welcome applications regardless of background and are happy to sponsor UK work visas for exceptional candidates.

Ready to Apply?

Send a short note explaining what excites you about this problem, your CV or LinkedIn profile, and a link to any relevant work — GitHub, a dissertation, a Kaggle competition, or published papers.