Postdoctoral Research Scientist
vor 1 Tag
Postdoctoral Research Scientist – QTL Mapping, Colocalization and Mendelian Randomization for Alzheimer Disease
The Cruchaga Lab, in collaboration with the GSK Genetics Therapy Area, is recruiting a self-motivated and driven Postdoctoral Research Scientist to work on QTL mapping, Colocalization, and Mendelian Randomization. Our group generates and analyzes genetic and multi-tissue proteomic data from large and well-characterized cohorts of Alzheimer disease cases and controls. Proteomic and other omic data (transcriptomics, metabolomics, and lipidomics) will be used to perform QTL mapping, Colocalization, and Mendelian Randomization to identify novel causal genes, proteins, and pathways for Alzheimer disease risk, onset, and progression, as well as to create new prediction models and identify druggable targets. We are seeking a highly motivated researcher with strong analytical skills, especially in quantitative human genetics and Mendelian Randomization, to lead the analyses for these projects. The new Postdoctoral Research Scientist will join a large team of currently over 30 members, led by three faculty members, four postdocs, several PhD students, and three senior scientists.
Qualifications
- PhD in Neurogenetics, Neuroscience, Genetics, Bioinformatics, Computer Science, Data Science, Statistical Genomics, or a related discipline involving the interrogation of ‘omics’ datasets, or expect to obtain a degree in the near future.
- Hands-on experience using PLINK, IBD, PCA, association analyses, R, Bash, and Excel.
- Knowledge of PRSice, MAGENTA, MANTRA, Mendelian Randomization Coloc, QTL, and SKAT is a plus.
- Solid skills in at least one programming language: R, Python, or Perl, and experience working in Linux and/or high-performance cluster environments.
- Familiarity with large-scale human genomics or other omics, preferably related to neurodegeneration.
- A strong ability to perform analytical reasoning to extract biological insights from data-driven approaches.
- Familiarity with interrogation of publicly available resources is highly beneficial.
- Exposure to working in cross-functional teams.
- Opportunities to participate in translational projects, multi-omic analysis, and machine learning approaches.
Interested candidates should send a cover letter and resume to Oscar Diaz Ruiz, Ph.D., Program Manager at doscar_at_wustl.edu.
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