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Prodromic

AI Scientist/Software Engineer/Quality and Regulatory Affairs Specialist

Cambridge
Posted about 15 hours ago
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Are you interested in accelerating the fight against dementia?

Join our team at Prodromic to translate AI-powered solutions for early dementia prediction to healthcare

About us

Prodromic is a Cambridge-based AI health technology spin-out dedicated to transforming brain health through responsible multimodal AI. Our platform, Sia, provides early personalised predictions of dementia progression and helps stratify patients using cognitive assessments, imaging, blood-based biomarkers, genetics, proteomics, and health records. Drawing on over a decade of groundbreaking research, we convert complex biological data into clear, clinically useful insights. These insights help accelerate clinical trials, reduce costs, and deliver better outcomes for patients in everyday care.

We are currently advancing Sia from a well-validated research prototype to a fully regulated medical software device. This is a great opportunity to join our dynamic, growing, and highly driven team and contribute directly to the fight against dementia by accelerating the development of our AI powered-solution for NHS adoption and wider deployment.

About the roles

AI Scientist

As AI Scientist you will take a central, practical role in optimising and transforming the core research machine learning models that power Sia into robust, production-ready AI components suitable for a regulated medical device. You will work closely with our software engineer, platform integration specialist, clinicians, and regulatory experts to refactor models, run experiments, ensure reliability and explainability, and generate the evidence required to meet IEC 62304 standards.

This position suits an AI specialist who thrives on hands-on problem solving and enjoys moving innovative research models into real-world clinical applications.

Software Engineer

As Software Engineer you will take a central, practical role in turning the existing Sia research prototype into a secure, production-ready medical software platform that meets IEC 62304 and related regulatory requirements. You will work closely with our AI scientist, engineer, platform integration specialist, clinicians, and regulatory experts to design robust architecture, set up reliable development processes, integrate advanced AI models, and support all necessary testing and documentation activities.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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This position suits an engineer who thrives on hands-on problem solving and enjoys bridging innovative research with real-world clinical applications.

Quality and Regulatory Affairs Specialist

As Quality and Regulatory Affairs Specialist you will own the day-to-day quality and regulatory work that takes Sia (Software as a Medical Device) through to UKCA marking and NHS deployment. You will build and run our quality management system, maintain the regulatory documentation and technical file, and make sure our development, validation, and clinical evidence activities meet IEC 62304, ISO 13485, and ISO 14971.

You will work closely with all our team including software engineer, AI scientist, platform integration specialist, clinicians, and regulatory advisors, translating regulatory requirements into clear, workable processes the team can actually follow. This is a hands-on, standalone role with consultant support available that suits someone who wants ownership of a regulatory programme and is comfortable being the person who keeps it on track.

Essential requirements

AI Scientist

  • Advanced degree (MSc or PhD) in Machine Learning, Artificial Intelligence, Computer Science, Biomedical Engineering or a closely related field.
  • 2–4 years of practical experience developing and optimising ML approaches, with clear involvement in imaging, tabular clinical data or biomarkers.
  • Strong proficiency with programming tools (Python, Matlab) and ML frameworks (PyTorch) and production ML tools.
  • Demonstrated ability to refactor research code into clean, maintainable, version-controlled production components.
  • Ability to collaborate effectively in a team setting and communicate comfortably with external consultants and clinical partners.
  • Capability to handle several tasks at once and deliver against deadlines in a dynamic start-up environment.
  • Strong written and spoken communication skills.

Software Engineer

  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, Biomedical Engineering, or a closely related field.
  • 2–4 years of practical experience in software development, with clear involvement in coding, system integration, and moving solutions into production.
  • Solid command of Python together with strong working knowledge of modern development practices such as version control, CI/CD, and containerisation.
  • Direct experience integrating machine learning models into live applications.
  • Ability to collaborate effectively in a team setting and communicate comfortably with external consultants and clinical partners.
  • Capability to handle several tasks at once and deliver against deadlines in a dynamic start-up environment.
  • Strong written and spoken communication skills.

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Quality and Regulatory Affairs Specialist

  • Degree in a relevant scientific, engineering, life sciences, or regulatory discipline, or equivalent practical experience.
  • 3–5 years of practical quality and regulatory affairs experience in medical devices, with clear hands-on involvement in software medical devices (SaMD) or digital health.
  • Working knowledge of IEC 62304, ISO 13485, and ISO 14971, and the ability to apply them to a real development programme rather than describe them in the abstract.
  • Experience building or maintaining a quality management system and its core processes, ideally within an eQMS.
  • Experience preparing and maintaining technical documentation and technical files for regulatory submission.
  • Ability to work independently, take ownership of a regulatory programme, and keep it moving in a dynamic start-up environment.
  • Strong written and spoken communication skills, and the ability to translate regulatory requirements into clear processes for a technical team.

How to Apply

We are looking for someone to join the team as soon as possible and will be reviewing applications on a rolling basis. If this sounds like you; Send your CV and cover letter to careers@prodromic.ai referencing job reference PR062601 or reach out for a confidential conversation at careers@prodromic.ai. Applicants must have the right to work in the UK.

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Skills

Machine Learning
Python
PyTorch
Software Architecture
CI/CD
Containerisation
IEC 62304
ISO 13485
ISO 14971
Quality Management Systems
Medical Device Regulation
System Integration
Biomarkers
Clinical Data Analysis
Technical Documentation
Version Control

Location

Cambridge, England, United Kingdom

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