Postdoctoral position in Epigenetic and multi-OMICs data analysis - Hiring in process/Finished, not possible to apply

Postdoctoral position in Epigenetic and multi-OMICs data analysis

The postdoctoral position is at the program of Environmental Toxicology, Department of Organismal Biology. The department teaches and explores the evolution, development and function of whole organisms. The program of Environmental Toxicology provides a vibrant working environment where we perform research and teaching in five research groups on the effect of environmental chemicals and other stressors on different organisms ranging from microalgae to humans, with our vision “leading the way towards a non-toxic future”.

The postdoctoral position will be part of the Molecular Toxicology and Epigenetics (EpiTox) group at the program for Environmental Toxicology, led by Prof. Joëlle Rüegg and consisting of 4 PhD students and 1 postdoc (in addition to this position). Research within the EpiTox group focuses on deciphering mechanisms underlying (neuro)developmental effects of endocrine disrupting chemicals (EDCs) over one and several generations, with a particular focus on epigenetic regulation. Collaborator Philipp Antczak at the University of Cologne will act as supervisor/advisor for the analyses performed by the postdoctoral fellow.

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Duties
The postdoctoral research fellow will be mainly involved in two projects: the EpiTag project that aims at delineating epigenetic mechanisms underlying transgenerational epigenetic inheritance of behavioural changes induced by chemical exposure in zebrafish; and the ENDpoiNTs project, a large Horizon 2020 project aiming at developing novel methods to identify endocrine disruption in the context of developmental neurotoxicity. In the EpiTag project, the candidate will perform data analysis and integration of data acquired by Oxford Nanopore technology from different developmental timepoints and different generations of zebrafish. In the ENDpoiNTs project, the postdoctoral fellow will be involved in analysis of genome-wide DNA methylation data obtained by reduced-representation bisulfite sequencing (RRBS), integration of multi-OMICs (transcriptomics, DNA methylome, metabolomics) data and incorporation of these data in adverse outcome pathways (AOP) relevant for neurodevelopment.

The successful candidate is expected to plan, perform, analyse, and interpret their work independently, to write scientific publications and contribute to project reports, to participate in international meetings and conferences, to advise doctoral and master students, and engage in the scientific and social activities at the program and the department.

Requirements
PhD degree or a foreign degree equivalent to a PhD degree in bioinformatics, computational biology or similar fields. The degree needs to be obtained by the time of the decision of employment. Those who have obtained a PhD degree three years prior to the application deadline are primarily considered for the employment. The starting point of the three-year frame period is the application deadline. Due to special circumstances, the degree may have been obtained earlier. The three-year period can be extended due to circumstances such as sick leave, parental leave, duties in labour unions, etc.

Well-documented experience working with R or python, a good understanding of multi-OMICs integration, deep knowledge of at least one of the following OMICs fields: (epi)genomics, transcriptomics, or metabolomics, and knowledge about statistical analyses of such data is required. As the work will be carried out in an international interdisciplinary environment, excellent oral and written communication skills in English are required.

Additional qualifications
A biological background, previous experience with Oxford Nanopore and/or RRBS data analysis, knowledge on biostatistics, data/text mining and systematic approaches as well as the adverse outcome pathway (AOP) framework is advantageous. Furthermore, experience in longitudinal data analysis including the modelling of dynamic data using both linear and non-linear approaches and/or experience in the application of Bayesian networks will be strongly considered.

Emphasis will also be placed on personal qualities. We seek a highly motivated person with original, creative and analytical thinking and team spirit. The applicant is expected to take initiative and work independently.

About the employment
The employment is a temporary position of 2 years according to central collective agreement with the possibility of 1year extension. Scope of employment 100 %. Starting date as agreed. Placement: Dept. of Organismal Biology, Evolutionary Biology Centre, Uppsala University

For further information about the position, please contact: Joëlle Rüegg, joelle.ruegg@ebc.uu.se

Please submit your application by the 19th of June  2022, UFV-PA 2022/1430.

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