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Vacancy number: 2020/0186
Apply to: March 9 2020
Education: University
Employment: Temporary position
Full-time/Part-time percentage: 100%

The candidate will analyze the druggable genome, evaluating novel (protein) drug-targets as well as repurposing opportunities. Insightful analyses include evaluations of genetically linked proteomics, metabolomics, and electronic healthcare data. Further possibilities include the integration of human genetics with pre-existing sources of evidence on the efficacy of drug-targets. You will be working with, and assist in the development of, a new bioinformatics tool – the drug target validation database (DTAdB) – jointly developed by University College London and University Medical Center Utrecht. This database provides a genomics-based platform for drug target identification by assimilating data on genotype-disease associations (e.g. GWAS catalogue, GRASP, GWASdB and public domain summary level genetic association data), drug targets and compounds (ChEMBL, First Databank) and drug action (indications and adverse effects in humans (Cochrane database, clinicaltrials.gov and the SIDER side effect database)). You will utilize the DTAdb to perform drug-target validation analysis using human genetic data, develop the DTAdb by implementing and testing Mendelian randomization algorithms and link multiple (genetic) databases and leverage these data to develop machine learning algorithms to predict in-human success rate of a drug-target You will have considerable academic freedom to develop your own ideas on ways of optimizing and further developing the DTAdB and other resources to aid drug development. As part of this position, you will be expected to spend six months abroad at UCL under the supervision of Dr. C. Finan and Professor A.D. Hingorani

Department

The UMC Utrecht is a leading international academic medical center where knowledge on health, illness and care is generated, evaluated, shared and applied for the benefit of patients and society. The heart & lungs division is an integral part of the UMC Utrecht. This project is supervised by Professor F. W. Asselbergs and Dr. A. F. Schmidt, and is part of a longstanding collaboration between UMC Utrecht and UCL.

Profile

As the ideal candidate for this position, you hold a PhD in bioinformatics, computational biology, computer science or a related discipline. An affinity with genomics and cardiovascular disease is appreciated. Furthermore, you have strong programming skills, are comfortable manipulating large-scale data, and have some prior experience in building bioinformatics pipelines. You understand Linux/Unix and have experience in statistical analyses/machine learning with Python and R. Furthermore, you have understanding of Mendelian randomization, instrumental variable analysis and/or genome wide association studies. Your qualities include being motivated, communicative and resourceful, an effective independent worker, and a collaborative team member. You are willing to travel, have an appropriate publication record and are willing to apply for grant funding. Candidates with these skills are especially encouraged to apply.

The maximum salary for this position (100%) is € 4.481,00 gross per month based on full-time employment (work week 36 hours). This job is based on a temporary position for two years with the possibility for extension)..

In addition, we offer an annual benefit of 8.3%, holiday allowance, travel expenses and career opportunities. The terms of employment are in accordance with the Cao University Medical Centers (UMC).

More information

If you have any questions about this vacancy, please contact Mr.Dr. A.F. (Floriaan) Schmidt, Assistant professor, phone number: 088 75 570 65, e‑mail adress: A.F.Schmidt-2@umcutrecht.nl.

Acquisition based on this jobopening is not appreciated.

*LI-UMC

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