Disease Modeler / Senior Disease Modeler
The Department of Epidemiology and Public Health (EPH), within the Swiss Tropical and Public Health Institute, is seeking two highly motivated individuals (a disease modeler and a senior disease modeler) with strong analytical skills. The modelers will work within the Analytics and Intervention Modelling group to help design evidence-based strategic plans by providing analytical evidence and support execution of high-impact programs to ensure countries reduce their malaria burden.
In this new position the modelers will lead the technical work for the methodological development and/or application of the modelling activities aimed at providing support to NMCPs in endemic countries as well as to their partners including donors and NGOs.
For more information about the responsibilities and skills and qualifications please click here
The position will be open for a limited amount of time and will be closed as soon as the right candidate is found. Therefore, we encourage applicants to submit their application as soon as possible.
Student Internship in biostatistics (hematology cell therapy)
Functional area : Biostatistics
Therapeutic Area : Hematology, Cell Therapy, ICF(Immunology/Cardiovacular/Fibrosis), Medical and Market Access
Prerequisites : A Ph.D. candidate or MSc candidate in Statistics. Experience in R (preferred) and/or SAS
Description of the project and work required (including references)
Pediatric studies and small sample size
In recent times, the needs for new drugs to be tested within the pediatric setting has increased to now being an integral requirement of the regulatory process, with legislation surrounding pediatric drug testing undergoing many changes in recent time; more recently the FDA Reauthorization Act (FDARA 504), enacted August 2018 and took effect August 2020. The new ICH E11 (R1) outlines the need for developing “additional statistical and pharmacokinetic methods” that integrate and leverage existing knowledge, as well as extrapolation of information from other populations (adults or pediatric subgroups).
Location: Boudry, Switzerland / Uxbridge, UK.
Internship period: According to the School/University rules.
Full-time internships are available and will last 4 to 6 months according to the university/school requirements and the study project.
For more information and how to apply click here
Student Internship in biostatistics (glioblastoma imaging data)
Functional area : Biostatistics
Prerequisites : A Ph.D. candidate or MSc candidate in Statistics. Experience in R (preferred) and/or SAS
Internship proposal on Glioblastoma imaging data
Bristol Myers Squibb has conducted two large phase 3 studies on Phase 3 on glioblastoma, a disease with unfavorable prognosis especially in patients with unmethylated MGMT promoter (Chang et al. , 2006).
This internship will provide the candidate the opportunity to:
- work on real life data collected from two large phase 3 glioblastoma trials
- gain further experience in applying machine learning methodologies to image recognition for the
- tumor characterization on glioblastoma tumors
- explore methodologies leveraging information from the clinical database in addition to the imaging
- data
- collaborate in an international multicultural environment of a pharmaceutical company
- potential publication
For more detailed information and how to apply click here
Student Internship in biostatistics
Functional area : Biostatistics
Therapeutic Area : Cell Therapy
Prerequisites : A Ph.D. candidate or MSc candidate in Statistics. Experience in R (preferred) and/or SAS
Project description and work required (including references)
Late stage CAR T-cell trials often allow subject to switch treatment, usually from the control group to experimental group, when specific conditions are met. This is implemented in the trial design to safeguard the ethical principles of providing the best care for patients. However, the presence of treatment switching creates technical difficulties in estimate the true effectiveness of the experimental drug when long-term time-to-event endpoints are used – in fact, standard methods (i.e. ITT or the per-protocol approaches) would likely underestimate the experimental treatment effectiveness (i.e. loss in power). For this reason, more complex methodologies have been proposed to adjust for treatment switching1. These are the marginal structural models (MDS) using inverse probability of censoring weights (IPCW), the two- stage adjustment and the Rank preserving structural failure time models (RPSFTM) using g-estimation.
Full-time internships are available and will last 4 to 6 months according to the university/school requirements and the study project. Part-time internship is possible when the student should continue to attend some courses during the internship period.
For more information and how to apply click here
Senior / Postdoctoral Scientist in infectious disease dynamics modelling for vector control interventions against malaria (80-100 %)
The Department of Epidemiology and Public Health (EPH), within the Swiss Tropical and Public Health Institute, develops and applies epidemiological, statistical and mathematical methods to advance innovation, validation, and application in the field of public health. Within the Disease Modelling Unit of EPH we are looking for a
Senior Scientist or Postdoctoral Scientist in infectious disease dynamics modelling for vector control interventions against malaria (80-100%)
For details about the position, the required qualifications and how to apply click here
Start Date: As soon as possilbe, but negotiable
