Novartis Pharma AG
Computational biologist/Expert I Data Science (Junior position)(m/w/x)
Full-timeWith HomeofficeJunior
Basel
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SWSwiss Tropical and Public Health Institute
PhD Student in Forecasting Resistance Spread and Epidemiological Impact(m/w/x)
Allschwil
Full-timeWith Home Office
Nejo AI Summary
Developing mechanistic models of insecticide resistance using Bayesian statistics and machine learning. Strong programming skills in R, Python, and Stan required. Fully funded for 3 years with flexibility for home office.
Requirements
- MSc degree in quantitative field or biology/environmental sciences/epidemiology with quantitative training
- Strong analytical skills for developing mathematical/statistical methods
- Strong programming skills for implementing methods
- Experience in R, Python, Stan, HPC environments, and Git is an advantage
- Interest in Bayesian statistics, modelling, resistance evolution, and public health
- Prior experience in Bayesian data analysis, spatial statistics, evolutionary biology, computational biology, disease modelling, environmental modelling, analysis of genetic/genomic data, or quantitative genetics is ideal
- Ability to manage work independently and collaboratively
- Ability to plan, document, and communicate work effectively
- Ability to communicate research effectively in spoken and written English
Tasks
- Develop mechanistic models of insecticide resistance
- Use Bayesian statistics and mathematical modeling
- Apply machine learning and quantitative genetics
- Implement models with state-of-the-art programming
- Calibrate models to available data
- Integrate models with epidemiological simulation platform
- Evaluate resistance-management strategies
- Collaborate with statisticians and researchers
- Work with entomologists and disease modellers
- Publish research in peer-reviewed journals
- Present findings at conferences and workshops
- Participate in regular meetings with collaborators
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- R
- Python
- Stan
- HPC environments
- Git
Benefits
Other Benefits
- 3 years duration
- Fully funded for 3 years
- Support in scientific independence
- Multidisciplinary research institution
- Active student community
Flexible Working
- Flexibility for home office
Additional Allowances
- Travel for conferences and meetings
Competitive Pay
- Internationally competitive salary and benefits
Mentorship & Coaching
- Direct and dedicated supervision
- Support in academic writing
Informal Culture
- Close exchange with researchers
- International project partners
Modern Equipment
- Excellent computational infrastructure
- Access to HPC cluster
Modern Office
- State-of-the-art workspace
Free or Subsidized Food
- On-site canteen
Learning & Development
- Access to university courses
- Swiss Institute of Bioinformatics training
- Continuing education opportunities
Healthcare & Fitness
- University sports facilities
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Swiss Tropical and Public Health Institute and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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SWSwiss Tropical and Public Health Institute
PhD Student in Forecasting Resistance Spread and Epidemiological Impact(m/w/x)
Allschwil
Full-timeWith Home Office
Nejo AI Summary
Developing mechanistic models of insecticide resistance using Bayesian statistics and machine learning. Strong programming skills in R, Python, and Stan required. Fully funded for 3 years with flexibility for home office.
Requirements
- MSc degree in quantitative field or biology/environmental sciences/epidemiology with quantitative training
- Strong analytical skills for developing mathematical/statistical methods
- Strong programming skills for implementing methods
- Experience in R, Python, Stan, HPC environments, and Git is an advantage
- Interest in Bayesian statistics, modelling, resistance evolution, and public health
- Prior experience in Bayesian data analysis, spatial statistics, evolutionary biology, computational biology, disease modelling, environmental modelling, analysis of genetic/genomic data, or quantitative genetics is ideal
- Ability to manage work independently and collaboratively
- Ability to plan, document, and communicate work effectively
- Ability to communicate research effectively in spoken and written English
Tasks
- Develop mechanistic models of insecticide resistance
- Use Bayesian statistics and mathematical modeling
- Apply machine learning and quantitative genetics
- Implement models with state-of-the-art programming
- Calibrate models to available data
- Integrate models with epidemiological simulation platform
- Evaluate resistance-management strategies
- Collaborate with statisticians and researchers
- Work with entomologists and disease modellers
- Publish research in peer-reviewed journals
- Present findings at conferences and workshops
- Participate in regular meetings with collaborators
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- R
- Python
- Stan
- HPC environments
- Git
Benefits
Other Benefits
- 3 years duration
- Fully funded for 3 years
- Support in scientific independence
- Multidisciplinary research institution
- Active student community
Flexible Working
- Flexibility for home office
Additional Allowances
- Travel for conferences and meetings
Competitive Pay
- Internationally competitive salary and benefits
Mentorship & Coaching
- Direct and dedicated supervision
- Support in academic writing
Informal Culture
- Close exchange with researchers
- International project partners
Modern Equipment
- Excellent computational infrastructure
- Access to HPC cluster
Modern Office
- State-of-the-art workspace
Free or Subsidized Food
- On-site canteen
Learning & Development
- Access to university courses
- Swiss Institute of Bioinformatics training
- Continuing education opportunities
Healthcare & Fitness
- University sports facilities
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Swiss Tropical and Public Health Institute and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Swiss Tropical and Public Health Institute
Industry
Healthcare
Description
Das Unternehmen ist ein weltweit renommiertes Institut auf dem Gebiet der globalen Gesundheit mit besonderem Fokus auf Länder mit niedrigen und mittleren Einkommen.
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