Applied AI/ML Scientist
London 
Full-time
Your mission is to help engineer the next frontier in AI for healthcare
Application Form
Overview
To meet this challenge, we must harness the growing amount of routinely collected healthcare data to support clinical decision-making. We are developing foundational models capable of producing clinically actionable insights to support overstretched clinicians and identify patient health changes earlier. Over time, we are personalising these data-driven insights to ultimately build your human digital twin.
This is a “right time, right place” kind of moment, with increasing momentum, multiple hospital partnerships, vast data access, a first product in clinic with early positive results, and imminent regulatory approval (Class 2b EU:MDR). Now, we are looking for you to take us to the next level.
We know incredible ML talent comes in all shapes and sizes, and that number of years in the industry is not always the be all and end all. Whether you’ve been there and done that, or are straight out of university, we’d love to speak to you. We are building a company that wants to change the way AI healthcare innovation is brought to clinical teams. Are you up for the challenge?
About the role
We work at the bleeding edge of AI for healthcare, translating multimodal, complex and disparate data streams into actionable clinical insights that have a real-world impact. You will:
- Develop, design, and implement foundational models focused on multimodal clinical data spanning electronic health records, wearables, clinical images, genomics, etc.
- Collaborate closely with a cross-functional team to understand requirements, curate datasets, and implement models into production.
- Stay updated with the latest advancements in AI/ML (including attending and presenting at top tier ML conferences) to drive innovation within the company.
If you are passionate about the confluence of AI, healthcare, and pioneering technological solutions, we'd love to meet you!
Must have:
- Advanced degree in a quantitative or engineering discipline OR equivalent work experience.
- Proven experience in developing machine learning and deep learning models using real-world data, preferably in the health domain.
- Strong programming and algorithmic skills, specifically in Python, R, or other relevant languages.
- Familiarity with fundamental concepts of deep learning and transformer-based architectures, including scaling and fine-tuning models over large-scale data sources.
- Excellent communication skills and ability to work closely with interdisciplinary teams.
Desirable
- Understanding of AI ethics, responsible AI practices, and regulatory considerations
- Experience of best AI software development and deployment practices.
- Experience working with the OMOP Common Data Model and working with Standard Medical Vocabularies, such as SNOMED, ICD10. Knowledge of clinical data standards, medical terminology and workflows is a real bonus.