UCT Vacancies Cape Town – Scientific Computer Programmer

Job Description:

The Modelling and Simulation Hub, Africa (MASHA) in the Department of Statistical Sciences invites applications for part-time consultancies (vendor) over a 3-month period starting 24 January 2025 or as soon as possible.

MASHA’s research focus is the development and application of mathematical modelling and computer simulation to predict the dynamics and control of infectious diseases to evaluate the impact of policies aimed at reducing morbidity and mortality. Based in the Faculty of Science, MASHA’s research is closely integrated with other disciplines resulting in policy-driven and impactful scientific research.

We are looking for motivated individuals to support the development of mathematical disease modelling applications to inform disease control strategy. Specific projects include the development of RShiny applications/interactive dashboards for Syphilis, Hepatitis A and Pertussis disease.

The successful candidates would be required to lead and/or support application development including the initial design, model optimisation, and user interface design.

Job Responsibilities:

• To work with the Director of MASHA, Prof Sheetal Silal and the team of modellers and clinicians to transform existing transmission models into interactive RShiny applications for Syphilis, Hepatitis A and Pertussis disease.
• Key activities include:
  • Ongoing consultation with modelling and user team through weekly meetings
  • Development of wireframes
  • Live-running model implementation and optimisation
  • Interface design
  • Data wrangling
  • Model visualisation development
  • Application piloting
  • User manual development
  • Incorporating feedback from modelling and user team

Job Requirements:

• An Honours degree or equivalent experience in computer programming, data science, statistics or related subjects
• Experience in app and/or web design
• Experience working with R and/or RShiny
• Familiarity with version control (eg git)
• Ability to work in a fast pace, interdisciplinary environment
• Well-developed and professional interpersonal and communication skills
• Effective time-management skills and the ability to organize, prioritize and multitask
• Ability to work independently and as part of a team
• Programming proficiency in languages such as C++, Python, Julia
• Experience in developing RShiny applications
• Experience in public health and/or disease modelling

Job Details:

Company: University of Cape Town

Vacancy Type:  Full Time

Job Location: Cape Town

Application Deadline: N/A

Apply Here

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