Data Analyst🔍School of Medicine, Stanford, California, United States📁Information Analytics📅Jun 03, 2021 Post Date📅89836 Requisition #The Alvira and Cornfield laboratories in the Stanford Center for Excellence in Pulmonary Biology Stanford University and the Department of Pediatrics are seeking a Bioinformatician/Research Data Analyst 2 to manage and analyze single cell transcriptomic data and other data sets derived from next generation sequencing methodologies. The Alvira and Cornfield laboratories perform early translational research using mouse models and human tissue samples to understand the molecular mechanisms that promote postnatal lung growth, and determine pathways that contribute to impaired lung development, lung injury and pathologic pulmonary vascular remodeling.Duties include:
- Prioritize and extract data from a variety of sources including genomic and transcriptomic data from publicly accessible databases. Harmonize original data produced in the lab with publicly available datasets.Determine additional data collection and reporting requirements.Employ new and existing tools to independently interpret, analyze and visualize multi-dimensional data including data from next generation sequencing methodologies such as single cell transcriptomics, ChIP-Seq, and ATAC-Seq. Independently develop hypotheses based on the data analysis and define subsequent analyses and data collection to be performed. Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others.Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication, presentation, and grant applications with minimal supervision.Train laboratory staff and students to perform basic data analysis using standard packages.Maintain, update and improve the laboratory websites.
- Bachelor’s, MS or PhD in Bioinformatics, Biology or a related field with at least three years of relevant experience
- Strong background in bioinformatics, including the analysis of next-generation sequencing data, single-cell resolution data, and multi-omics datasets.
- Experience and comfort working within a UNIX/Linux environment
- Background in programming languages such as Python or R.
- Excellent communication and team skills
- Experience preparing complex figures and tables, performing advance statistical analyses, and writing for publications and presentations.
- Background in common cell and molecular biology assays
- A background in lung biology
- Substantial experience with MS Office and analytical programs.Excellent writing and analytical skills.Ability to prioritize workload.
- Sitting in place at computer for long periods of time with extensive keyboarding/dexterity.Occasionally use a telephone.Rarely writing by hand.
- Schedule: Full-time
- Job Code: 4752
- Employee Status: Regular
- Grade: I
- Department URL: http://pediatrics.stanford.edu/
- Requisition ID: 89836