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The Swiss Tropical and Public Health Institute (Swiss TPH) is a world-leading institute in global health with a particular focus on low- and middle-income countries. Associated with the University of Basel, Swiss TPH combines research, services, and education and training at the local, national and international level.

Our Department of Epidemiology and Public Health (EPH) is seeking a highly motivated Bioinformatician / R developer with strong technical and analytical skills to work within the Infectious Disease Modelling Unit. In this role, you will help design evidence-based strategic plans by developing and maintaining programs which provide analytical evidence on how countries can reduce their malaria burden.

Our modelling team mainly uses the simulation platform OpenMalaria, which has been developed by Swiss TPH and is maintained by another team. In your role, you will have a key position between modelers and the simulation platform. You will improve, standardize and maintain workflows of how modelers should use the core platform. You will design, implement and teach code development methods, and provide technical support to the team. Your initiative and creativity shape the way we work and will be a valuable component to boost team productivity and enhance production readiness. A strong technical aptitude is essential.

Responsibilities:
Technical:

  • Design and implement R functions to improve, standardize and maintain the workflow, which our modelers depend on to simulate the transmission and burden of malaria in various endemic countries

  • Collaborate with modelers to define functional needs and implement new features for the analysis workflow

  • ntegrate and maintain these functions in R packages according to best coding practices (CI/CD, testing etc.) to standardize analyses and workflows

  • Train and support team members and partners on the workflow and developed packages

  • Develop and maintain strong working relationships with developers of the main simulation platform


Analytical:

  • Calibrate mathematical malaria transmission models and conduct simulations of the impact of malaria transmission and burden for national and sub-national analyses in multiple high-burden countries

  • Provide support to infectious disease modelers and epidemiologists for their research, analyses and other needs towards project deliverables


Skills and qualifications:

  • Master’s degree in a relevant technical discipline, such as Bioinformatics, Computer Science, Statistics, Informatics or 3+ years of experience in a relevant role

  • Proficiency in R with demonstrated experience of writing R packages

  • Strong interest in applying computational approaches to support epidemiological questions

  • Hands-on experience with conducting and analysing computer simulations

  • Previous experience with Geospatial modelling and Machine Learning would be beneficial

  • Ability to work in teams, adapt to new challenges and operate as part of a multi-cultural team

  • Experience working in fast-paced, output-oriented environments

  • Excellent written and oral communication skills in English


Knowledge of the following software is required:
Unix, Git

Knowledge of the following software / packages would be beneficial
C++, testthat / runit, devtools, Gitlab CICD / Travis CI, roxygen2, renv / packrat, Python, Windows 10

Please note that we can only accept applications via our online recruiting tool:
https://recruitingapp-2698.umantis.com/Jobs/All

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