Job
- Level
- Senior
- Job Field
- Employment Type
- Full Time
- Contract Type
- Temporary employment
- Salary
- 44.800 to 56.000€ Gross/Year
- Location
- Stadt Hall in Tirol
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you independently develop research ideas in Causal Inference and Health Data Science, work on EU research projects, create project reports and scientific publications, and advise the team on epidemiological issues.
Your role in the team
- Participation in national and international research projects in the field of Causal Inference at the institute, including the institute's EU Horizon projects (UNCAN, PREMIO COLLAB, EUCanScreen, 4D PICTURE, RECETAS, CATALYZE, MOUNTADAPT).
- Independent development of research ideas, studies, and methodological approaches at the intersection of causal inference, epidemiology, and health data science.
- Preparation of project reports in various EU projects.
- Content-related consulting of the team on the topics of Causal Inference, Epidemiology, Health Data Science, Machine Learning, Artificial Intelligence, and Modeling/Simulation.
- Preparation of scientific publications.
- Participation in the preparation of third-party funding applications.
- Participation in the organization and implementation of teaching in the field of Health Data Science and related disciplines, the UMIT TIROL Academy program, and training measures.
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Our expectations of you
Education
- Completed university degree (Master's, Doctorate, or equivalent qualification) / Habilitation.
Qualifications
- Good knowledge in decision-analytical modeling for benefit-cost analysis, machine learning, and artificial intelligence.
- Excellent written and spoken English skills.
- High motivation, analytical and conceptual thinking, initiative, interest in interdisciplinary work, as well as team and communication skills.
Experience
- Several years of professional experience and very good knowledge in the fields of Causal Inference, Epidemiology, (Bio-)Statistics, and Health Data Science.
- Very good knowledge and practical programming experience in the application of causal inference methods (including directed acyclic graphs, target trial emulation, cloning-censoring-weighting, causal discovery).
- Extensive experience in data set analysis (including cohort/register studies, secondary data, real-world data, electronic health records).
- Research experience in Digital Health and/or Artificial Intelligence is advantageous.
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Job Locations
Location Stadt Hall in Tirol
Tirol
Austria
Topics that you deal with on the job
This is your employer
UMIT - Private Universität für Gesundheitswissenschaften, Medizinische Informatik und Technik GmbH
As a leading university for health sciences, medicine and technology, the UMIT is perfectly placed to help meet the latest challenges in healthcare and technology. Our range of innovative new programs means that we are well-equipped to provide future-proof training and support for professionals working in these fields.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Education System
Research Associate in the field of Causal Inference and Health Data Science
- Salary
- 44.800 to 56.000€ Gross/Year
- Location
- Stadt Hall in Tirol
- Working Model
- Hybrid, Onsite
