Healthcare systems face growing pressure to do more with limited resources. To address this, we must shift towards early detection and prevention.We are one of the first class IIb certified multimodal AI Clinical Decision Support tools (EU:MDR) and have unprecedented access to multimodal data across hundreds of thousands of patients in real-time. This is a career-defining opportunity. You'll scale us from a single use case to a full platform of clinical AI models, building the insights clinical teams trust to catch emerging risks early, save time, improve outcomes, and ultimately a human digital twin. About the roleSanome is at a defining moment, our platform MEMORI is regulated, embedded and the 1st use case (predicting infections and downstream complications like sepsis) is live in clinical practice. The opportunity now is to scale this into a clinical intelligence platform with 100s of clinical AI models. Leading that could be the defining moment of your career, the kind that rarely comes around.This is a building role, not directing from a distance. You'll own clinical AI at Sanome, setting direction with the C-suite, leading a world-class team of ML engineers, and staying hands-on in the code, data, and models. You'll design, train, and validate across many different clinical data modalities and settings fusing whatever the problem demands.Every clinical AI model has to earn its place in a clinician's day, answering the who, what, when and why. Done well, that means catching deterioration and risk earlier, across more of the hospital and into the community, for millions of patients.What you will doBuild 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.RequirementsYou must apply if youhave 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 possiblehave a PhD in a related field, or equivalent industry experienceBonus points if youhave 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.BenefitsCompetitive 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.
Healthcare systems face growing pressure to do more with limited resources. To address this, we must shift towards early detection and prevention.
We are one of the first class IIb certified multimodal AI Clinical Decision Support tools (EU:MDR) and have unprecedented access to multimodal data across hundreds of thousands of patients in real-time.
This is a career-defining opportunity. You'll scale us from a single use case to a full platform of clinical AI models, building the insights clinical teams trust to catch emerging risks early, save time, improve outcomes, and ultimately a human digital twin.
About the role
Sanome is at a defining moment, our platform MEMORI is regulated, embedded and the 1st use case (predicting infections and downstream complications like sepsis) is live in clinical practice. The opportunity now is to scale this into a clinical intelligence platform with 100s of clinical AI models. Leading that could be the defining moment of your career, the kind that rarely comes around.
This is a building role, not directing from a distance. You'll own clinical AI at Sanome, setting direction with the C-suite, leading a world-class team of ML engineers, and staying hands-on in the code, data, and models. You'll design, train, and validate across many different clinical data modalities and settings fusing whatever the problem demands.
Every clinical AI model has to earn its place in a clinician's day, answering the who, what, when and why. Done well, that means catching deterioration and risk earlier, across more of the hospital and into the community, for millions of patients.
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
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
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.
At Sanome, we believe healthcare can and should be better.Today’s healthcare systems are reactive and overburdened, placing both patients and providers at risk. The path forward lies in prevention-detecting health changes at the earliest possible stage.This is why we are developing a solution designed to predict emerging risks in patients. By integrating and analysing existing data, we generate actionable clinical insights to support faster, more informed decision-making, all within the framework of a regulated Software-as-a-Medical Device (SaMD).Find out how our unique approach seeks to improve patient outcomes and provide clinicians the insights they need to act earlier.
At Sanome, we believe healthcare can and should be better.
Today’s healthcare systems are reactive and overburdened, placing both patients and providers at risk. The path forward lies in prevention-detecting health changes at the earliest possible stage.
This is why we are developing a solution designed to predict emerging risks in patients. By integrating and analysing existing data, we generate actionable clinical insights to support faster, more informed decision-making, all within the framework of a regulated Software-as-a-Medical Device (SaMD).
Find out how our unique approach seeks to improve patient outcomes and provide clinicians the insights they need to act earlier.
