Dein persönlicher KI-Karriere-Agent
Scientific project assistant postdoc(m/w/x)
Analyzing patent, clinical trial, and firm-level data with advanced econometrics. PhD in economics, management, or data science required. Integration into high-profile ERC Synergy Grant project with unique datasets.
Anforderungen
- PhD in economics, management, data science, or related field
- Strong background in econometrics and empirical research
- Experience with large-scale data work and integration
- Programming skills in Python, R, Stata, and SQL
- Interest in pharmaceutical innovation, patents, science of science
- Machine learning methods experience (advantageous)
- Independent and collaborative work in international research
- Excellent English command (C1 written and spoken)
Aufgaben
- Conduct independent and collaborative empirical research
- Build and manage large-scale datasets
- Analyze patent data, clinical trials, and molecular and firm-level data
- Apply advanced econometric methods
- Study innovation processes and selection mechanisms
- Contribute to and lead academic publications
- Collaborate with international, interdisciplinary research teams
- Support project-related activities and administrative tasks
- Participate in teaching activities if interested
- Contribute to evaluation measures and quality assurance
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Doktor / Ph.D.
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- R
- Stata
- SQL
- machine learning
Benefits
Sonstige Vorteile
- Integration into high-profile ERC Synergy Grant project
- Access to unique, large-scale datasets
Moderne Technikausstattung
- Access to cutting-edge research infrastructure
Startup-Atmosphäre
- Close collaboration with leading researchers
Abwechslungsreiche Aufgaben
- Dynamic and interdisciplinary research environment
Karriere- und Weiterentwicklung
- Opportunities for career development
- Opportunities for international networking
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Scientific project assistant postdoc(m/w/x)
Analyzing patent, clinical trial, and firm-level data with advanced econometrics. PhD in economics, management, or data science required. Integration into high-profile ERC Synergy Grant project with unique datasets.
Anforderungen
- PhD in economics, management, data science, or related field
- Strong background in econometrics and empirical research
- Experience with large-scale data work and integration
- Programming skills in Python, R, Stata, and SQL
- Interest in pharmaceutical innovation, patents, science of science
- Machine learning methods experience (advantageous)
- Independent and collaborative work in international research
- Excellent English command (C1 written and spoken)
Aufgaben
- Conduct independent and collaborative empirical research
- Build and manage large-scale datasets
- Analyze patent data, clinical trials, and molecular and firm-level data
- Apply advanced econometric methods
- Study innovation processes and selection mechanisms
- Contribute to and lead academic publications
- Collaborate with international, interdisciplinary research teams
- Support project-related activities and administrative tasks
- Participate in teaching activities if interested
- Contribute to evaluation measures and quality assurance
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Doktor / Ph.D.
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- R
- Stata
- SQL
- machine learning
Benefits
Sonstige Vorteile
- Integration into high-profile ERC Synergy Grant project
- Access to unique, large-scale datasets
Moderne Technikausstattung
- Access to cutting-edge research infrastructure
Startup-Atmosphäre
- Close collaboration with leading researchers
Abwechslungsreiche Aufgaben
- Dynamic and interdisciplinary research environment
Karriere- und Weiterentwicklung
- Opportunities for career development
- Opportunities for international networking
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
University of Vienna
Branche
Research
Beschreibung
The University of Vienna engages in international cutting-edge research and teaching, fostering curiosity and excellence since 1365.
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