Data Engineer

7 days ago

United Kingdom Chiron Health AI Full time

Company Description

Chiron Health AI offers a revolutionary approach to chronic disease management by leveraging AI to provide more clinically effective and personalised self-care interventions, driven by individual patient insights. We are also fully committed to launching a new fully integrated and data-driven B2B self-care pathway for healthcare payers, providers and pharma, to drive down health inequity, improve clinical outcomes, and reduce costly utilisation.

Role Description

We seek a skilled Data Engineer to work on our data and analytics platform to enable secure and effective storage, access, and analysis of data to deliver meaningful data insights for both our end users and customers. You'll be working with 2 very experienced technical co-founders, and a wider technical team.

  • Full-time or part-time role.
  • Remotely-based with the option to use an office in central London.
  • Employed or contractor (6-month contract initially with a strong likelihood for extension)

Key responsibilities

  • Lead the design and implementation of scalable, reliable data pipelines and data platforms in AWS.
  • Collaborate with the wider team to define data requirements, optimise data workflows to meet Chiron's business objectives.
  • Extract, transform, and load healthcare data from various sources, including electronic health record systems and wearables.
  • Oversee the development, deployment and integration of data systems on the Chiron Data Platform.
  • Ensure data quality, security, and compliance with healthcare regulations (e.g. HIPAA).
  • Drive best practices in cloud-based data engineering, automation, and DevOps for data solutions.
  • Participate in other startup activities as required

Experience and Qualifications

  • Ability to communicate between technical and non-technical stakeholders, manage expectations, and support difficult discussions.
  • Ability to support teams in applying a range of techniques for data profiling, undertaking source system analysis and bringing multiple data sources together.
  • Knowledge and experience in enterprise-scale data integration procedures across the data development life cycle. Ability to manage resources to ensure that data services work effectively.
  • Can identify areas of innovation in data tools and techniques.
  • Ability to establish and maintain standards, remaining informed of industry best practices.
  • Can understand concepts and principles of data modelling and produce relevant data models.
  • Ability to recognise opportunities for the reuse and alignment of data models.
  • Ability to solve problems with the most appropriate actions, leading internal and contract teams to implement solutions.
  • Experience using standards and tools to design, code, test, correct and document moderate-to-complex programs and scripts, collaborating with others as appropriate.
  • Ability to review requirements, define test conditions, identify issues and risks and analyse and report test activities. Experience with AWS and other cloud-based tools for data and analytics.
  • Ability to design an appropriate metadata repository, improve existing repositories, understand a range of tools to manage metadata and advise team members on metadata management. Rates depend on experience and client requirements.
  • Strong programming skills e.g. Python
  • Experience with healthcare-specific data standards and integration an advantage (e.g., HL7, FHIR)
  • Strong proficiency in SQL and experience with various database systems (e.g., MySQL, PostgreSQL, MongoDB)
  • Ability to work independently and in a remote setting
  • Bachelor's or Master's degree in Computer Science, Data Science, or related field

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