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)

EMPLOYMENT EQUITY   

The Company’s approved Employment Equity Plan and Targets will be considered as part of the recruitment process. As an Equal Opportunities employer, we actively encourage and welcome people with various disabilities to apply.