Job Company: Rockefeller University
The Rockefeller University is the world’s leading biomedical research University. We are seeking an experienced and highly motivated Bioinformatics Analyst to join the Bioinformatics Resource Center (BRC) at The Rockefeller University. [More]
The Bioinformatics Assistant will be responsible for maintaining the existing server infrastructure of the lab in collaboration with our IT department, maintaining the existing analysis pipelines, and continually identifying novel tools and annotation databases to improve the efficiency, sensitivity, and functionality of the results. [More]
The Research Specialist in Genomic Interpretation will analyze the literature and individuals' genomic data to identify potentially clinically actionable variants such as those related to cancer predisposition, tumor treatment targets, pharmacogenomics, and carrier status. Responsibilities include establishing a process... [More]
The Bioinformatics Analyst will provide analysis support for the diverse range of biological data generated by research groups at The Rockefeller University. Responsibilities include communicating bioinformatics analysis to students, postdoctoral trainees, research scientists and principle investigators, ensuring the validity and reliability of data and methods at all times, and maintaining accurate and complete records of all analysis projects. [More]
The Head of Bioinformatics will identify and work closely with internal and external resources to determine how to most effectively support University researchers’ needs for data processing and interpretation, especially Next-Generation Sequencing (NGS). [More]
The Rockefeller University, a leading biomedical research institution located in New York City, seeks a Head of Bioinformatics to run our newly created Bioinformatics Bridge Group. [More]
Competitive applicants will have a PhD in bioinformatics, biostatistics, genomics, or similar field, with experience and publications in analysis of next-generation sequencing data including mutational analysis. They will be proficient in relevant programming languages such as Python, Perl, Linux, R/Bioconductor and C++. Familiarity with deep sequencing analysis tools such as Strelka, Mutect, Varscan, BreakDancer, TopHat, STAR, CuffLinks etc is a requirement. Competitive applicants will also have strong communication skills in spoken and written English, with a proven record of working well in team environments. [More]