Bioinformatician I (Seaver Autism Center) – Department of Psychiatry
Icahn School of Medicine at Mount Sinai
We are looking for a collaborative, ambitious and highly motivated bioinformatician who will be a member of Professor Buxbaum’s lab, contributing to the support and development of bioinformatics services for biomedical data from cutting-edge genomic and/or transcriptomic technologies.
Professor Joseph Buxbaum is the Director of the Seaver Autism Center and a world leader in the genetics of autism. His lab uses computational and experimental approaches to identify and functionally characterize genes for neuropsychiatric disorders. He is the co-leaders of the Autism Sequencing Consortium (ASC), a collaboration of over 50 international research groups with the immediate goal of analyzing the exomes of over 60,000 individuals to uncover the genetic variation in autism.
The candidate will work in a team of molecular biologists, senior bioinformaticians and analysts.
Develop, run and validate reproducible and well-documented analytical RNA- Seq pipelines
Collaborate with wet-bench biologists to analyze RNA-Seq data derived from several types of projects:
RNA-Seq: The analyst will map bulk short- and long-read RNA-seq data and quantify gene expression. The analyst will detect differentially expressed genes/isoforms using multiple R analysis packages, run pathway enrichment, and generate visualizations.
Single-cell RNA-Seq: The analyst will map and quantify single-cell RNA-Seq data. Cell subpopulations will be identified and characterized, and gene signatures and enriched pathways will be generated for individual cell types. Visualizations of cell types, gene markers, enriched pathways will be generated.
Contribute to setup, management and maintenance of genomic data analysis pipelines
Analyze genomic data using the established pipeline(s) either already in place at Buxbaum Lab or state-of-the-art workflows developed by others.
Interpret and present the results of the analyses to collaborators and coworkers.
Participate in the preparation of manuscripts and presentations.
The applicants will be assessed on their academic performance, personal aptitude, good collaborative skills, and the ability to work across traditional disciplinary boundaries. We are looking for a candidate who is determined and has high problem-solving analysis skills.
M.S. or Ph.D. in Bioinformatics or related field
At least 4 years of experience in research environment, including 2 years analyzing large biomedical datasets
Experience in analyzing genomic and/or transcriptomic data
Advanced knowledge of genetics and statistical analysis software and online resources
Experience in programming environments such as R and Python. Strong familiarity in working in a Linux environment and shell scripting
Strong familiarity with high-performance computing
Good organization and communication skills, with demonstrated ability to productively work as a member of a team
Strong verbal and written communication skills in English are required