We are seeking a highly motivated postdoctoral candidate(s) with formal training in Bioinformatics, Data Science, Statistical Genetics, or Genetic Epidemiology. A postdoctoral position is immediately available to work on a NIH-funded multi-center project on Biomarkers of Alzheimer's Disease in Down Syndrome. This project will generate genomic, transcriptomic, proteomic, metabolomic, imaging (MRI and PET), neuropsychological data, and Alzheimer's Disease status. Using rich, high dimensional data, the candidate will be engaged in research to identify and characterize genetic contributions as well as pathways toward cognitive decline, Alzheimer's disease and other age-related neurodegenerative diseases in a high-risk population. The candidate will work with faculty members with a wide range of expertise (e.g., genetics, epidemiology, neurology, bioinformatics, statistics, cell biology, etc.) and other team members on gene mapping, functional genetics and translational studies.
Use bioinformatics tools to analyze high-throughput omics datasets, including whole genome/exome sequencing, GWAS, and RNA-seq data
Develop and implement methods for integrative analysis of available multi-omics datasets, including genomics, transcriptomics, proteomics and metabolomics
Perform analyses to examine how above multi-omics data are associated with neuropsychological and medical data.
Perform statistical analysis of the genomic data in family-based as well as case-control or cohort study designs.
Prepare manuscripts, grant proposals, and presentations for scientific meetings
Work independently and collaboratively with a highly interactive research group
PhD in Computational Biology, Bioinformatics, Biostatistics/Statistics, Genetic Epidemiology or other relevant computational disciplines (for example:-Biomedical Informatics)
Working knowledge of shell scripting and programming proficiency in R, Python, C, C++, or Java on UNIX/Linux environments, particularly with large data files in various formats
Experience in analysis of human sequence data using bioinformatics tools (e.g., SAMtools, GATK, Picard) and genetic databases (Ensembl Genes, 1000 Genomes, ESP, HapMap)
Working knowledge of statistical genetics will be a plus
Excellent written and verbal communication
Qualified candidates should e-mail a cover letter, curriculum vitae, and list of three references to Dr. Joseph Lee at JHL2@cumc.columbia.edu (cc: firstname.lastname@example.org) with
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