Job Description
If you are a curious, creative and innovative person with a passion for challenging, meaningful work, this role is for you! This is a unique opportunity to drive impactful healthcare innovations through a lean process, ensuring your ideas quickly translate into real-world solutions.
Role Purpose
Collaborating with cross-functional teams to identify and define data-driven solutions to healthcare problems which have the potential to transform healthcare.
Key Responsibilities
- 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 to clean and standardise data.
- Analysing the data for actionable insights and learning 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).
Competence
- 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 criticism.
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