Head of Clinical AI

FDA

Head of Clinical AI at Sanome overseeing clinical AI models from design to implementation. Leading a team to develop innovative solutions for healthcare challenges using AI technology.

Posted 7/23/2026full-timeLondon • 🇬🇧 United KingdomLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and validating clinical AI models within regulated medical device contexts, with a strong focus on continuous validation and model performance monitoring. Possesses advanced programming skills in Python, deep learning knowledge, and the ability to communicate complex technical concepts to diverse audiences.

Highest-signal resume keywords

Clinical AI DevelopmentPython ProgrammingDeep Learning ExpertiseMulti-Modal ModellingRegulated Medical Device Experience

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Applicant Tracking System Keywords

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Hard Skills

Clinical AIModel ValidationContinuous LearningAlgorithm DevelopmentDeep LearningTransformer ArchitecturesMulti-Modal ModellingClinical NLPInformation ExtractionSurvival Analysis

Soft Skills

CommunicationMentoringCuriosityTeam Leadership

Certifications & Qualifications

PhD in Related Field

Industry Keywords

Regulatory ComplianceNHS DeploymentHealth Data PartnershipPeer-Review StandardsClinical Utility

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

**What you will do**
**Build and own the platform** - Design, train, and validate production clinical AI across the portfolio. Own the reusable, multi-modal infrastructure and explainability layer that ships fast and safely. With Product, Commercial, and Clinical, choose what to build next, weighing clinical value, data, regulatory burden, and commercial pull. With QARA and Clinical, lead validation to prove each model meets its intended use, then work with engineering to get it production-ready.
**Monitor and maintain** - Own model performance once deployed. Drift, bias and fairness monitoring, local calibration, continual learning and domain adaptation. Understand how this feeds our PMS/PMCF obligations and think about PCCP.
**Lead** - You are the benchmark for the team. Setting technical direction, mentoring and owning the team's delivery and growth.
**Communicate and represent** - Be Sanome's technical voice for clinical AI externally, through conferences, webinars, white papers, and co-authored publications, building our credibility with clinicians, partners, and the wider field.

Requirements

What you’ll need

**You must apply if you**
- have start-up or early-stage experience.
- obsess about clinical utility. You want your models used at the bedside, not admired in a paper.
- are a hands-on builder who loves designing, training, writing the code, and validating production models.
- have demonstrable experience building clinical AI within a regulated medical device context. Your playground is pre-/silent/post- deployments, you obsess about continuous validation and you know it’s not about AUROC on a test set and you deeply understand the interplay of intended use with model development and validation.
- have taken models to production using engineering best practices, writing high-standard code and building reusable platforms and components, not bespoke one-offs.
- work at peer-review level. Your quality bar is publishable rigour, even though your goal is models that clinicians trust at the bedside, not papers on a shelf.
- have strong programming and algorithmic skills, specifically in Python or other relevant languages.
- have advanced knowledge of deep learning and transformer-based architectures, including scaling and fine-tuning models over large-scale data sources.
- are strong in multi-modal modelling across time-series, structured, and categorical data, and comfortable with unstructured free-text notes through clinical NLP and information extraction.
- have experience communicating your work to a non-technical and healthcare audience.
- You are curious, hungry and constantly push the boundaries of what’s possible
- have a PhD in a related field, or equivalent industry experience
**Bonus points if you**
- have line-management experience.
- have advanced clinical NLP experience, such as RAG, patient summarisation, or Clinical BERT-type models.
- have experience evaluating LLMs or generative models in sensitive or regulated settings.
- have experience with survival analysis methodologies.
- have NHS deployment or health-data-partnership experience.
- have experience across more than one clinical setting, such as ward, ICU, and community.

Benefits

Comp & perks

Competitive salary, meaningful EMI options with real upside, private healthcare, and more. The real reason you want to work here is to make a difference and be part of something that will positively impact millions of people worldwide.