Post-doctoral fellow of Causal inference at The Pioneer Centre for SMARTBiomed

at  KUCENTER FOR SUNDHED OG SAMFUND

A three-year position as post-doctoral fellow of causal inference within The Pioneer Centre for SMARTBiomed to be employed at Section of Biostatistics, Department of Public Health, University of Copenhagen, starting on 1 November 2024 or as soon as possible hereafter.
About the Centre: The Pioneer Centre for Statistical and computational Methods for Advanced Research to Transform Biomedicine (SMARTBiomed) will support a critical mass of researchers who focus on method and software development for analysis and inference from massive human data, advancing applications in medicine. The Pioneer Centre for SMARTBiomed will leverage large-scale, multimodal biomedical data combined with focussed innovation in statistical and computational methods including machine learning to advance our understanding, treatment, and prevention of human disease.
The Centre will be anchored at Aarhus University with hub sites at Copenhagen University and University of Oxford. Prof. Naomi Wray , Michael Davys Professor, Department of Psychiatry and Big Data Institute at the University of Oxford is the SMARTBiomed Director. The leadership executive team includes five co-PIs, Professor Chris Holmes, Professor of Biostatistics at the University of Oxford, Professor Cecilia Lindgren , Professor of Genomic Endocrinology & Metabolism, Big Data Institute, University of Oxford, Professor Bjarni Jóhann Vilhjálmsson , Professor of Statistical and Psychiatric Genetics, National Centre for Register-based Research, Aarhus University and Associate Professor Erin Gabriel , Section of Biostatistics at the University of Copenhagen.
SMARTBiomed is funded by the Danish National Research Foundation, the Novo Nordisk Foundation, the Lundbeck Foundation, the Carlsberg Foundation and the Villum Foundation. Funding has been secured to support a 10-year research plan. SMARTBiomed will support researchers who focus on method and software development for analysis of, and inference from, human health-related data, advancing applications in medicine. We will create a vibrant international community of researchers, both virtually and in-person, providing an exciting environment of collaboration to attract early-career researchers from a wide variety of fields, working as a team towards unified goals .
The core mission of SMARTBiomed is development of statistical and computational methods focussing on causal inference (theme lead: Erin Gabriel), risk prediction (theme lead: Bjarni Vilhjálmsson) and machine learning (theme lead: Chris Holmes). This broad focus is ring-fenced by questions relevant to common complex diseases/disorders (specifically cardiometabolic, brain and reproductive traits), and ring-fenced by big data types that are newly emerging for exploitation (‘omics, longitudinal – usually electronic health record or biobank - and clinical imaging data) Bridging omics and clinical big data within the Centre acknowledges a vision that translation of research advances from omics-based research will be facilitated by close integration with, and knowledge of, clinical data.
Information on the centre can be found at: https://smartbiomed.dk

JOB DESCRIPTION

You must participate in the interdisciplinary and dynamic research environment within the Pioneer centre. Here the main duties will be to conduct causal methods research within the area of methods for partial identification, under the supervision of one or more of the pioneer mentor faculty. A small amount of teaching is required, and we encourage the creation of a new course in a topic you find interesting to share with the students in the centre. In addition, the successful applicant is expected to independently, and as a part of the centre, to work on attracting funding for the next stage of their career. Some travel between the hubs will be required, but longer stays for research work within interdisciplinary groups are strongly encouraged, and thus, joint affiliations are possible.

• Manage own academic research and administrative activities.
• Conduct research in line the goals of SMARTBiomed.
• Contribute to evolving the research priorities of SMARTBiomed.
• Support the collaborative infrastructure of the SMARTBiomed.
• Lead write-up of research papers pertaining to their own work and collaborate in the preparation of research publications. Ensure, where appropriate, that software research outputs are provided to ensure maximum utility.
• Present papers at conferences or public meetings.Contribute to the administrative activities of SMARTBiomed and the research group of appointment.