Postdoc position on Biomedical Discovery Science

 *The Institute of Data Science (IDS@UM), led by Distinguished Professor
Michel Dumontier invites applications for a Postdoctoral researcher in
Biomedical Discovery Science. *

Job Description

The main thrust of your research will be to develop and apply artificial
intelligence (AI) technologies to advance the state of the art in
computational drug discovery and personalised medicine. Your research can
explore any number of areas including AI-assistance in data curation,
semantic data integration, ontology engineering, natural language
processing, query answering, and predictive modelling.

You will be responsible to:

   - Develop a leading edge research program
   - Lead and participate in externally funded research projects
   - Collaborate with researchers inside and out of the Institute
   - Recruit and supervise undergraduate, masters and PhD theses and
   projects
   - Be involved in teaching at the undergraduate and graduate levels

Key benefits include:

   - A vibrant, international, and interdisciplinary environment with data
   scientists, software developers, ethicists, legal scholars working in the
   fields of biomedicine, neuroscience, law, and social science
   - Exceptional opportunities for international team science and
   data-driven innovation
   - Access to Maastricht University’s Data Science Research
   Infrastructure, a Kubernetes-based CPU and GPU cluster
   - Conveniently located in the heart of Western Europe
   - A competitive salary with generous benefits
   - Outstanding workplace environment with state-of-the-art equipment

Requirements

   - PhD in Bioinformatics, Biomedical Informatics, Data Science, Computer
   Science
   - Research experience and technical virtuosity exemplified by a high
   quality publication record in at least two of the following areas:
   - Biomedical data science or biomedical informatics
   - Machine learning with sparse, incomplete, temporal, and/or erroneous
   data
   - Semantic web technologies including ontologies, linked data, and
   knowledge graphs
   - Programming skills, preferably Python or Java, and code versioning
   using GitHub/GitLab
   - Successful (co-)supervision of bachelor and masters theses
   - Well versed in biomedicine  (drug, genes, protein, phenotypes,
   interactions, etc)
   - Preferably experience working with biomedical databases (PubMed,
   DrugBank, CTD, etc)

Fluency in English, both oral and written, and scientific writing
Deadline for applications: January 31, 2023.

For further details see
https://www.academictransfer.com/en/322563/post-doctoral-researcher-in-biomedial-discovery-science/

For questions about this job, please contact Prof. Michel Dumontier
(michel.dumontier(at)maastrichtuniversity.nl)

-- 
Michel Dumontier
Distinguished Professor of Data Science
Institute of Data Science <http://maastrichtuniversity.nl/ids>
Maastricht University