National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Data Scientist - Medical/Clinical Informatics

Veritone Hire Programmatic
UK
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist - Consumer Lending

Senior Data Scientist (GenAI)

Senior Data Scientist

As the Senior Data Scientist - Medical/Clinical Informatics, you will work as part of a broader Data Science team in collaboration with Product and Engineering to deliver solutions focused on improving quality and efficiency of care delivery in the context of hospital-level care at home. You will play a crucial role in improving healthcare delivery and patient care by leveraging data science and informatics expertise. Remote based in the UK . What you'll do Collaborate closely with other disciplines, including IT, biomedical engineering, software engineering, data engineering, and clinical experts Apply a range of data science techniques ranging from AI/machine learning to statistics to data visualization in the context of clinically oriented use cases Partner with data engineers to ensure that data are cleaned, processed, harmonized, and curated in alignment with industry standard practices Work as part of a cross-functional team to integrate predictive models into virtual hospital (e.g., clinical practice, care coordination) workflows Serve as a thought partner and informatics subject matter expert to clinicians and product managers during the ideation and design of new solutions that incorporate data/AI Basic qualifications 3 years of relevant experience with Bachelor's degree in Data Science, Health Informatics, or related field OR equivalent relevant professional experience Preferred qualifications Master's degree in Health Informatics, Medical Informatics, or Clinical Informatics, OR clinical practice experience Significant experience working with healthcare data from hospitals/care delivery/electronic health records Demonstrated experience: AI/machine learning, ranging from more traditional approaches to deep learning/LLM Python, specific to data science (e.g., TensorFlow, PyTorch, scikit-learn, etc.) FHIR, clinical terminologies (ICD-10, CPT, LOINC, etc.), and terminology/value set management systems SQL and NoSQL databases (e.g., document, graph) Cloud environments (e.g., AWS, Snowflake, Databricks) Prototyping and delivering incrementally, focusing on good science, while being agile and iterative based on customer needs Architecting hospital and clinically oriented data science solutions Pragmatic balance of quality with a fast-paced schedule Team player, ready to help, debate, compromise, and work together Ability to: Dive deep into technical details while maintaining a holistic view of the broader context Work within a geographically distributed team (US/UK) What's in it for you We're committed to helping our people thrive at work and at home. We offer generous benefits that address your total well-being and provide support as you need it, especially key moments in your life. Our benefits include: Competitive pay Generous employee discount Physical and mental well-being support About us Best Buy Health aims to enrich lives through technology and meaningful connections. We do that by focusing on consumer health products that help people live healthier lives, device-based emergency response services for the active aging population and virtual care offerings that help connect patients to physicians. Position Type: Full timePandoLogic. Keywords: Data Scientist, Location: London, ENG - SE25 5PY

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.