Job Skills: Programming in R
We are looking for a highly motivated first-year postdoctoral fellow interested in developing computational methods related to expression quantitative trait, alternative (pre)RNA splicing, transcriptome-wide association studies and chromatin structures in normal and glioma cells. The post-doc will be jointly supervised by Drs. Liang Chen (Computational Biology) and Rose Lai (Neurology and Preventive Medicine). [More]
We are looking for a Bioinformatics Engineer with a solid foundation in computer science to join our computational group. The candidate will support the directed evolution efforts in R&D by creating and supporting software tools that improve our engineering efforts. The candidate will work closely with scientist to help scope, design, implement, and deploy software packages both internally and to 3rd party clients. [More]
We are looking for data scientists to improve our metabolomics data pipeline and build analytical tools to turn our data into insights.Projects Include: Integrating knowledge about the network of metabolic interactions: we have a wealth of knowledge about the chemical reactions underpinning cellular metabolism. How can we use this knowledge to focus our analysis on results that are more likely to be biologically real and relevant?... [More]
We are seeking highly motivated researchers in Human Genetics, Genetic Epidemiology, Statistical Genetics, Population Genetics and/or Bioinformatics to perform large-scale genomic data analyses at the Monash University School of Public Health and Preventative Medicine (SPHPM). [More]
This position primarily involves performing statistical analyses across ongoing large-scale pyrosequencing microbiome data, immunology data and sociodemographic data across four institutions. This individual will independently and in collaboration with faculty to manage, analyze, and communicate large-scale biological data provided by collaborators and will help with the design of experiments, analysis and publication efforts. [More]
Research, design, and develop algorithms for the interpretation of Electrocardiograms (ECGs) and other novel applications. Test ECG algorithms for performance characteristics such as sensitivity and specificity specifications. Collaborate with engineering team to implement and deploy algorithms to AliveCor productions systems. Collaborate with regulatory team to build and submit FDA required materials (e.g. Form 510K) for the use of ECG analysis algorithms. [More]
The successful applicant will be responsible for constructing genomic and transcriptomic libraries, as well as their assembly and analysis using bioinformatics tools in a high-performance computing environment. Work will require the development of new research methodologies and tools, and publishing results in high-impact journals.In addition, successful applicants will be responsible for co-training undergraduate, graduate students and technicians, as well as contributing to the overall research environment of the University. [More]
A postdoctoral fellow position is open in the Bioinformatics Group at the Department of Biomedical and Health Informatics (DBHI) at the Children’s Hospital of Philadelphia (CHOP), reporting to the Director of Bioinformatics.CHOP postdoctoral fellows receive mentored training in a rich scientific environment that includes both CHOP and University of Pennsylvania research communities. [More]
Analyzes high-throughput next- and third-generation sequencing “omics” data, including data from genomics, transcriptomics, proteomics, epigenomics, metabolomics, and metagenomics experiments. Interacts closely with physician scientists and bioscience researchers to facilitate precision medicine development by interpreting vast amounts of “omics” and clinical data. [More]
Do you have skills in machine learning and programming? Would you like to use data to improve clinical care for cancer patients? Join the exciting Bioinformatics internship program at Genomic Health, the world's leading provider of genomic-based diagnostic tests that seeks to identify optimal treatment for each individual cancer patient. [More]