Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Scientist - Medical/Clinical Informatics

Veritone Hire Programmatic
UK
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist Customer Data

Senior Data Scientist

Senior Data Scientist

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

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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.