Role Purpose Collaborating with cross-functional teams to identify and define data-driven solutions to healthcare problems which have the potential to transform healthcare. Out-of-the-box thinking to use information to create new value-adding products. Cleverly extracting meaningful insights from large lakes of data. Proving or disproving product hypotheses by analysing data and relationships between data. Engineering foundational LLM prompts to enable models to achieve business goals. Developing custom machine learning models to enhance existing products and/or enable the development of entirely new products.
Key Responsibilities include: Collaborating with cross-functional teams to identify and define data-driven solutions to healthcare problems which have the potential to transform healthcare. Working with existing teams inside the organisation to understand the location of relevant data and mechanisms to access the data. Using predominantly Python, clean and standardised data. Analyse the data for actionable insights and learn how to present the data for maximum insights. Designing and building data pipelines to support new products. Becoming an expert at prompt engineering to create LLM-based products for clients and creating AI agents to perform repetitive tasks. Building and testing bespoke machine learning models to solve specialised problems in the clinical and administrative side of healthcare. Developing and deploying machine learning models to enhance existing products or enable new product development. Communicating findings and recommendations to stakeholders in a clear and compelling manner. Staying up-to-date with the latest advancements in data science and machine learning, and exploring ways to apply them to the healthcare domain. Job Requirements Above all, we are looking for a very smart and highly motivated individual who is excited for an incredible journey of growth and learning. All qualifications and experience are secondary to this requirement.
Knowledge and Skills Problem-solving Incurable curiosity Out-of-the-box thinking Qualifications and Experience A tertiary degree in a mathematics-based field like Engineering, Computer Science, Software Engineering, Actuarial Science. Basic experience in programming focused on extracting, transforming and analysing data (e.g. Python, Matlab or R). Highly self-motivated and ambitious. Really, really fast learner. Passion for challenging, meaningful work. Willingness to work as a member of a team, to work on personal brilliance while making the team better as a whole. Prepared and committed to continual learning and self-development. Ability to recognise and appreciate constructive feedback and constructive criticism.
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