This position will support multi-omic research projects pertaining to genome-wide, epigenome-wide, whole genome sequencing, and gene-environment interaction analyses. The data analyst will be responsible for the statistical analyses of the relationship between the genetic variation and chronic disease outcomes such as hypertension, hyperlipidemia, diabetes, etc. with diverse populations. Reporting to the project manager, the data analyst will work closely with Dr. Jacquelyn Taylor to complete projects and reports. Please note: this is a full-time, fixed-term position for an initial one-year period, with possibility of renewal.
The data analyst will be responsible for data entry, developing and managing databases, conducting scientific literature reviews, conducting statistical data analyses and assisting with grant preparation and submission. The individual will work directly with the Principal Investigator (PI) to provide bioinformatic analysis of the multi-omic variants and will be in charge of creating an annotation code book, developing research databases, and processing and cleaning data. For example, the data analyst will track samples, monitor data quality (batch, plate, chip effect), and integrate the omics data with clinical/demographic data. The data analyst will be responsible for conducting the enrichment analysis of omics associations within molecular pathways and Gene Ontology categories, analyzing the putative functional roles of SNPs and DNA methylation sites, exome and whole genome sequences, and graphically displaying results. The individual will assist with data analysis on manuscripts for publication and grants for submission.
Essential Duties and Responsibilities
Analyze research issues from problem identification through laboratory analysis, complex data analysis, and written results.
Participate in the development of operations and procedures for the collection, editing, verification, and management of statistical data.
Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
Participate in the preparation of written and oral presentations that summarize the analysis of data; interpret findings and provide conclusions and recommendations.
Assist with study administrative duties such as reimbursements and management of various study databases
Master’s in Biostatistics, Public Health, or other health related field; or equivalent combination of education and experience.
1-3 years of previous experience in health related research with diverse populations.
Analytical experience in the following: SAS, R, developing databases, advanced statistical analyses.
Excellent writing skills
3-5 years of previous experience in advanced statistical genetics.
Proficiency with genomic software packages (e.g., Helix Tree)
About New York University
Founded in 1831, New York University is now one of the largest private universities in the United States. Of the more than 3,000 colleges and universities in America, New York University is one of only 60 member institutions of the distinguished Association of American Universities.