Description
We are looking for a
Sr. Preventive medicine/Public Health Expert (m/f)
Reference: -en
Start: asap
Duration: 24 MM
Place: in Bern region
Branch: Tabakverarbeitung
Your tasks:
- Scientific research in the fields of epidemiology, including observational and interventional (experimental) clinical studies
- Project management in the pharmaceutical / health-care industry
- Review and meta-analysis
Your qualifications
- Native English language speaker
- MD or PhD in health-related science (biology, biochemistry, clinical chemistry, toxicology, physiology etc.) plus MPH or Master in Epidemiology and/or Biostatistics
- Post-doc experience and project management skills in responsible health-area position in academia, but preferably industry (pharmaceutical industry, healthcare devices) or health-related administration
- Sound methodological background covering study design, laboratory analytical processes and procedures, statistical analyses, and statistical quality assurance
- Experience with systematic review and meta-analysis methods and multivariate statistics.
- Substantial experience in and record of peer-reviewed publications and sound track record in writing and filing regulatory submission documents as well as study protocols and study reports
- Understanding of and experience with GMP, GLP, and GCP guidelines
- Familiarity with operating in quality controlled environments and skills in navigating though complex scientific issues in a multidisciplinary and –cultural environment
- Excellent skills in writing on and presenting of complex scientific matters is mandatory
- Desirable areas of expertise include risk-factor studies and analyses, descriptive and analytical epidemiology concepts and methods, as well as population health impact assessment methods
- A thorough understanding of the principles of product assessment and clinical research is mandatory
- Specialized knowledge in areas like product design space specification principles, psychometrics, health-measurement scale development, biomarker development, evidence integration and statistical modeling would be of advantage
Skills:
- R&D scientist