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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