As a Wimmy biostatistician, you are an expert in interpreting biomedical data and estimating statistics that help health care professionals deliver the best possible care. Your primary focus is on building statistical models of biomedical data, designing new experimental and observational studies, and communicating the output of statistical models to a wide range of audiences.


What you will be doing

  • You will conduct exploratory data analyses and apply data quality investigations to new datasets.
  • You will analyse data to discover patterns and trends.
  • You will test models to select the most appropriate ones.
  • You will implement new statistical and mathematical methods as needed.
  • You will perform literature reviews to guide assumptions around model structure and parameter values.
  • You will build, test and validate predictive models.
  • You will coordinate with other team members to productionise models and validate their outcomes.
  • You will use data visualisation and reporting tools to communicate results.
  • You will ensure that you stay up to date with the latest methods and  and code implementations in biostatistics.
  • You contribute to training and capacity-building initiatives in biostatistics and data science.

How will you be doing this

  • By using your extensive knowledge and experience in statistical theory, computing and statistical programming in R or Python.
  • Leveraging and leaning on the team for items outside your area of expertise.
  • Utilising agile planning structures and processes.
  • Alongside data scientists, epidemiologists, data/software engineers and UX and graphic designers who are passionate about what they do.
  • By owning your role, carving out the ideal balance between you and the team.

    To apply for this position, please fill out and submit this form by 14 July 2021.

    • Accepted file types: pdf.

    What a work day at Wimmy might look like

    If you are based in Cape Town, you may choose to come into the office, or feel free to work from home or a location of your choice. We do encourage physical presence with the team where possible. This is to ensure we get to know each other better, which strengthens our relationship when we work remotely.

    You start the day with your morning coffee reviewing your tasks on Jira. You decide to finish off some data visualisation tasks from the day before. You move on to explore the use of several alternative methods to modelling the data-generating processes that are believed to be behind the dataset at hand. You have a team meeting with colleagues data scientists and the health product owner about the pros and cons of the alternative methods in terms of the technical implementation, validity, tractability, as well as how understandable and actionable the results of the alternative methods are.

    After lunch, you start drafting the sections on study design, minimum sample size and statistical analysis for an experimental study to be submitted to an ethics committee. Before rounding off the day, you review and edit the draft course content that a colleague has developed for a course in data science for health professionals.


    Required skills and expertise

        • You have proven experience as a biostatistician
        • You have a BSc, Honours or Masters in Statistics, Data Science, or equivalent
        • You have experience in exploring and analysing high dimensional data mining
        • You have strong knowledge of statistical programming in R and/or Python
        • You have extensive experience in analysing biomedical data from a wide range of fields within the medical and health sciences
        • You have an understanding of, and ideally experience in, Agile development methodologies
        • You have a high EQ, you communicate and collaborate well
        • You take pride in what you do, and you welcome feedback
        • You are a self-starter who is solution-oriented and focused on delivering meaningful, actionable insights

    We support Broad-based Black Economic Empowerment (B-BBEE), a government policy to advance economic transformation and enhance the economic participation of black people in the South African economy. Moreover, we actively support the drive to gender equality, and more specifically more women in data science.