Job Skills: Programming in R
This position has primary responsibility for providing statistical and analytical bioinformatics expertise and interpretation to the scientific research programs at Aduro Biotech. Responsibilities: Analyze large-scale datasets such as raw microarray data (miRNA and mRNA), genomic and RNA sequence data, cytometry and proteomics data for clinical or basic research purposes... [More]
The Vertex Summer Internship Program offers students the opportunity to learn about the pharmaceutical industry from a hands-on perspective. You will be working closely with and learning from some of the best and brightest in the industry. Our environment is fast-pace, innovative and team-oriented, where collaboration is not just a word, and "Fearless Pursuit of Excellence" is in everything we do. [More]
The Research Analyst in Bioinformatics (Bioinformatics Programmer) will lead the implementation of novel bioinformatics approaches for analysis of whole-genome and reduced representation sequencing for genomics and breeding applications on multiple large-scale projects in wheat genomics. The bioinformaticist will focus on genomics of wheat and related species with large, complex genomes with objectives of improving genome assembly anchoring and ordering, improving approaches for sequence read mapping and variant calling and improving computational speed and processing of large datasets. [More]
The New York Genome Center is looking for a highly motivated, detail-oriented individual to join our expanding computational biology group. As Bioinformatics Analyst, Cancer you will be responsible for the analysis of next-generation sequencing (NGS) data. You will work as part of a team of analysts and scientists led be experienced bioinformaticians. [More]
Assist with the conduct of translational informatics research related to cancer at the University of Hawaii Cancer Center. Projects available include, but are not limited to: 1) Integrative analysis of multiple types of high-throughput data, such as gene expression microarray, DNA methylation, histone modification, and next generation sequencing data (such as RNA-Seq, CHIP-Seq, and exome-Seq) related to cancers... [More]
We are seeking a talented Software Engineer working in Bioinformatics / Computational Biology to tackle challenging bioinformatics and computational biology problems and work collaboratively with research groups to build the tools, algorithms, and pipelines required to support the development of new, transformative CRISPR/Cas9-based gene editing therapies. [More]
A Bioinformatics Research Scientist position is available in the lab of Dr. Charles Mullighan, MBBS (Hons), MSc, MD. This position offers an unrivaled opportunity to be embedded in an environment leading integrated genomic and experimental studies in Leukemia. As part of our laboratory, you will be involved in the integrative analysis of large cancer genomic datasets from patients with acute leukemia and related disorders. [More]
To be successful in this role, you will be or you will have: Project 1:Immunology experience. Project 2: Bioinformatics/Computational Biology/Biostatistics PhD student ; Experienced programming for bioinformatics analysis, ideally in R; Experience analyzing time-course data (preferred); Experience using machine learning methods (preferred). [More]
The Associate Computational Biologist will work with a multi-disciplinary group to perform data analysis and also to develop new state-of-the-art analysis methods, computational algorithms and software tools to address current challenges in biomedical research. The lab’s primary analysis focus is genomics of cancer and infectious disease. [More]
The National Institute on Aging (NIA), Intramural Research Program (IRP), a major research component of the National Institutes of Health (NIH) and the Department of Health and Human Services (DHHS), is recruiting a Staff Scientist Facility Head (SS/FH) to create and direct a new Computational Biology Core, located in the Laboratory of Genetics and Genomics (LGG), NIA, NIH, Baltimore, MD. The SS/FH will work with NIA/IRP Principal Investigators to convert information to knowledge in projects utilizing ‘omics’ approaches, and in training NIA staff in computational approaches through classroom instruction. [More]