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Population Health Insights Lead for Population Health Group
vor 1 Monat
About
MANPOWER AG – Deine Karriere, unser Fokus Werde Teil unseres Netzwerks und nutze zahlreiche Opportunitäten ManpowerGroup ist das führende globale Unternehmen für Personalvermittlung. Mit unseren drei Marken - Manpower, Experis und Talent Solutions - helfen wir Unternehmen verschiedener Branchen bei der Personalbeschaffung. Wir sind seit 75 Jahren in über 75 Ländern aktiv und in der ganzen Schweiz unterstützen wir unsere Kunden, um deren Aufträge und Projekte erfolgreich zu realisieren.
Tasks & Responsibilities:
- Develop R packages to facilitate the transition from Excel to an R-based modeling approach.
- Analyze diverse data sources, including real-world data (RWD), population health datasets, and scientific literature, to gather model input parameters.
- Identify, evaluate, and utilize high-quality epidemiological data to create forecasting models that support strategic decisions in market access and business planning.
- Assist the team in training and capacity building related to R packages and coding practices.
- Engage with key stakeholders across the organization to integrate treatment impact models into decision-making processes.
- Drive the continuous transformation of Global Access into an agile, outcome-driven organization by identifying gaps, opportunities, and improvements in patient access strategies.
- Maintain and manage internal epidemiology and access-related databases and applications at both national and international levels.
- Collaborate closely with internal teams, regional offices, and external partners to build strategic synergies.
Required Qualifications:
- Advanced degree (Master’s or PhD) in epidemiology, public health, or a related quantitative field with postgraduate specialization in epidemiology. Alternatively, a medical degree with additional training in epidemiology.
- Strong proficiency in Microsoft Excel and experience with statistical software such as R or SAS.
- Deep understanding of epidemiological principles and methodologies.
- Familiarity with national and international health statistics, surveillance data, and disease-specific health surveys, including their advantages and limitations.
- Experience with evidence synthesis techniques, such as meta-analyses.
- Background in epidemiology or health outcomes research, gained either in an academic setting, the pharmaceutical industry, or a contract research organization (CRO).
- Expertise in designing, conducting, analyzing, and interpreting epidemiological studies, including health technology assessment (HTA) and real-world data (RWD) research.
- Prior experience in the pharmaceutical industry is highly desirable.
- Excellent communication and organizational skills.
- Fluency in spoken and written English.
Nice-to-have skills:
- R
- SAS
- Microsoft Excel
Work experience:
- Data Analyst
- Data Scientist
Languages:
- English
