Senior Scientist or Postdoctoral Scientist in modelling novel malaria vector control interventions (80 – 100%)

Senior Scientist or Postdoctoral Scientist in modelling novel malaria vector control interventions (80 – 100%)

Swiss TPH advances global health through research, education and impact. For over 80 years, we have generated scientific evidence, strengthened capacity, and created solutions that reach millions. From malaria and tuberculosis to cancer and climate-driven health risks, we tackle the most pressing challenges of our time. Associated with the University of Basel, 950 people from 90 nations work in partnership across 120 countries, taking science to impact in Switzerland and worldwide. Our research spans basic science, epidemiology and implementation science. It addresses infectious and non-communicable diseases from biological mechanisms and disease patterns in populations to health systems and policy. Our researchers combine experimental, clinical and population-based approaches, evaluating interventions under real-world conditions.

The Disease Modelling Group is currently looking for a Senior scientist or postdoctoral scientist in modelling novel malaria vector control interventions. Applying statistical and mathematical modelling and simulation to improve understanding of impact of novel vector control interventions, with a focus on spatial emanators, on mosquito population dynamics and malaria transmission and disease burden.

Your position

• Developing, calibrating and analysing mosquito and malaria models
• Analysing entomological and epidemiological field data (including data from implementation studies and randomized control trials)
• Calibrating models to entomological and epidemiological data
• Running, aggregating and analysing results of large simulation experiments using population-based and individual-based models
• Interacting with epidemiological and entomological research partners
• Travel to partner field sites and conferences

Your profile

• PhD in statistics, mathematics or a related discipline. e.g.: quantitative epidemiology, ecology, modelling, computational biology
• Strong statistical modelling skills, preferably also mathematical modelling skills
• Strong programming skills (in at least one of Python, R, Matlab, C/C++), preferably with experience in working with a version control system (preferably Git) and in using high performance computing clusters
• Expertise/background and interest in areas of infectious disease modelling and vector ecology
• Ability to deliver high-quality research and to publish in peer reviewed journals
• Ability to initiate, plan, implement and deliver programs of work to tight deadlines, both independently and as part of an interdisciplinary team on large research projects in a culturally diverse environment
• Ability to communicate effectively in spoken and written English, with good presentation skills

We offer you

• Meaningful work in an international environment
• A state-of-the-art workplace, right next to the Main Campus of Switzerland Innovation Park Basel Area in Allschwil
• Interesting encounters with people from a wide variety of backgrounds
• Being part of a committed and motivated team with short information and decision paths
• Attractive employment conditions, training and development opportunities and mentoring

Start Date: 1 February 2027
Duration: 2 years with option of renewal
Percentage: 80-100%
Location: Allschwil
Travel required: yes, around 3 - 5 weeks per year (1 consortium meeting, 1-2 field visits, 1-2 scientific conferences)

Application / Contact

Please submit your application online.

• CV
• Motivational letter including names and contact information (email or phone) of 2-3 references
• Diploma
• No reference letters necessary at this stage

Swiss TPH is committed to fostering an inclusive and diverse workplace that values and respects differences across gender, race, ethnicity, disability, sexual orientation, and socio-economic background. We believe that diversity strengthens our work, and we are dedicated to providing equal opportunities for all.

Please note that we can only accept applications via our online recruiting tool. As long as the position is online on our company website, we are open to new applications. Applications via e-mail or external recruiter/agency will not be considered.

Join us in improving people's health and well-being worldwide – we look forward to receiving your application.

Administrative questions regarding this position can be sent to Christina Bucher, Senior Recruiting Partner, [email protected]

Scientific questions regarding this position can be sent to Nakul Chitnis, [email protected]