Senior Data Scientist – Medical/Clinical Informatics

at  bestbuy

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.

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)

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.

• 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