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 this high-risk population. The candidate will also collaborate with other team members who work on the genetics of Alzheimer’s Disease in PSEN1 carrier families and those who work on the genetics of healthy aging. In addition, the candidate will work with faculty members with a wide range of expertise (e.g., statistical 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 genetic and genomic data, including whole genome/exome sequencing, GWAS, and RNA-seq data
- Develop and implement methods for integrative analysis of available multiomic data, including genomic, transcriptomic, proteomic and metabolomic data
- Perform analyses to examine how above multiomic 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 scientific meetings presentations
- Work independently and collaboratively with highly interactive research groups
- PhD in Bioinformatics, Biostatistics/Statistics, or Genetic Epidemiology
- 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 with “Bioinformatics post-doc application” in the subject line of the e-mail.