We are looking for a postdoc with scientific coordinator ambitions that promote smooth operation of large European and National data science projects in the area of cohorts, (rare) disease, and multi-omics. You will facilitate collaboration between principle investigators, PhD students, data scientists, engineers and managers, highlight (research) opportunities, promote collaboration and coordinate project deliverables in a timely manner, drive internal and external communication including organisation and preparation of semi-annual and specific project meetings to ensure a smooth progress of the research. You will be part of a social, multi-site, multi-disciplinary team of project coordinators, researchers and team leaders who together coordinate all things happening between GCC and our partners. Depending on your background and ambitions you can also take the lead in scientific publications.
We offer an exciting multidisciplinary environment with many international collaborations in the area of area of biobanking, cohorts, (rare) disease, multi-omics and data science/bioinformatics. The position is part of the Genomics Coordination Centre (GCC), the ‘big data’ research & service hub of the University Medical Centre Groningen (UMCG) and University of Groningen (rank 66 worldwide, 3rd best place to work in EU), hosted in the Department of Genetics. Our mission is to accelerate scientific discovery in health data with innovative methods and tools that expedite medical research and improves people’s lives.
GCC is at the heart of the exciting big data transformation in life sciences with large population biobanks and patient cohorts and new biotechnologies producing terabytes of epidemiological genetic, molecular and imaging data offering unprecedented possibilities to diagnose disease and improve health status. You will be part of a social and ambitious team of 1 professor, 2 postdocs, 4 project/team leaders, 1 community manager, 8 programmers (2 scrum teams), 4 data managers and 4 Phd students, all on a mission to enable large scale integrated health data analyses towards better understanding and prediction of disease and health.
What do we need
The ideal candidate:
- Has experience as scientist in epidemiology, genetics, bioinformatics, preferably with a PhD
- Has track record in organisation and communication of multi-centre scientific collaborations
- Can manage and attain multiple priorities, deadlines, targets and KPI’s, preferably with training in project management
- Collaborates well in international consortia and with researchers from other disciplines, preferably with previous experience with H2020 or FP7 projects.
- Communicates easily in speech and writing (English) for scientific and broader public
- Has affinity with IT for research, data stewardship and ethical legal aspects
- Is independent, proactive, outreaching, binding
- Is prepared to travel
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