Statistician at Discovery Limited

Areas of responsibility may include but not limited to

• The successful applicant will be working within a highly specialized and growing team to enable delivery of advanced analytics capability.

Responsibilities will include:

• Work collaboratively as part of team engaging with system architects, data scientists and business in a healthcare context
• Drafting methods sections of research proposals and presentations
• Providing biostatistics input on detailed investigations for various initiatives.
• Work comfortably with structured and unstructured data in a variety of different programming languages such as SQL, R, python, Java etc
• Connecting with a multitude of stakeholders to understand the data, systems, and analytical architecture in a healthcare context
• Present data and model findings in a way that provides actionable insights
• Work with a range of stakeholders to ensure to present and apply insights effectively in the environment
• Improve processes and analytical outcomes where opportunities arise

Technical core skills

• Excellent conceptual and technical ability
• Excellent communications, both written and verbal
• Comfortable presenting to stakeholders and team
• Experience working on large and complex datasets
• Healthcare experience and an understanding of clinical risk adjustment methodologies beneficial
• Managing complexity
• Accuracy
• Analytical
• Verbal and written Communication

Behavioural skills

• A passion for data exploration and complex healthcare environment
• Self-starter
• Willingness to learn and grow exponentially
• A restless curiosity towards data and uncovering unknown correlations
• Ability to work cohesively in a team environment and balance multiple priorities
• A team player who can work alone when required and without supervision
• High level of attention to detail, resilience, enthusiasm, energy and drive
• Positive, can-do attitude
• Ethical and able to maintain confidentiality and manage boundaries
• Aligned to Discovery values and core purpose

Education and Experience

• Master’s in Public Health with completion of Biostats 3 and Advanced Epidemiology OR
• Masters in Biostatistics
• Data and analytic work experience (1-3 years) (Beneficial)
• SQL (advantageous)
• R programming language (advantageous)
• Python (advantageous)