Job Requirements: M.Sc. or higher Degree in Bioinformatics
This is a critical position in a new oncogenomics reserach group. It offers a chance to contribute to major new understanding in the patterns of mutations seen across a collection of over 100,000 tumors to better understand pathways of oncogenesis, to publish the results and see their impact on drug development. This is an ambitious project that will suit someone who wants to tackle a major challenge and make a major mark on cancer biology. [More]
KPMG is currently seeking a Data Scientist, to join us in any major US city with a KPMG office. Responsibilities: Analyze and model structured data using advanced statistical methods and implement algorithms and software needed to perform analyses; Build recommendation engines, spam classifiers, sentiment analyzers and classifiers for unstructured and semi-structured data; Cluster large amount of user generated content and process data in large-scale environments using Amazon EC2, Storm, Hadoop and Spark; Perform machine learning, natural language, and statistical analysis methods, such as classification, collaborative filtering, [More]
As bioinformatician you will analyse research data. You will work in close collaboration with molecular biologists and your main focus will be on next-generation sequencing data. This includes setting up of analysis pipelines, data visualisation and optimising in-house developed algorithms. Additionally you will employ statistical learning and data mining techniques to uncover patterns in biological data and/or (fully) automate existing workflows. As part of a multidisciplinary team you are also expected to assist and support your colleagues in bioinformatics-related issues. [More]
The primary job responsibility of the selected candidate will be the management of the main analysis pipeline used at TGen to automate the analysis of next-generation sequencing data. This job will involve frequent interactions with project leaders around the institute to develop project specific processes and to ensure projects are analyzed in timely manner. The successful candidate can expect to be exposed to a diverse array of diseases and will be a key member of our analytical team working to improve the health and outcomes for our patients. [More]
The Human Identification Division (HID) team is looking to hire a bioinformatics scientist to join a cross functional team tasked with developing and supporting a variety of applications in the next generation sequencing space. In this role, you will be working with software engineers, molecular biologists, bioinformaticians, and key opinion leaders in the field to develop and implement data analysis tools. [More]
Provides assistance to faculty and research staff in the collection, management, analysis and interpretation of biological data, with a focus on the analysis of data from genomic, transcriptomic, proteomic, or microarray studies. [More]
The algorithms and data analysis department seeks a talented and motivated individual to provide advanced analytical and software support for product research and development efforts. The successful candidate in this position will work closely with the Data Analysis team to develop analysis methods for genotyping SNPs and other complex variants. Approaches will target genotyping species of non-human organisms, with genomic complexity such as inbreeding, polyploidy, paralogous sequence variation, and subpopulation diversity. [More]
The primary job responsibility of the selected candidate will be the management of the main analysis pipeline used at TGen to automate the analysis of next-generation sequencing data. This job will involve frequent interactions with project leaders around the institute to develop project specific processes and to ensure projects are analyzed in timely manner. The successful candidate can expect to be exposed to a diverse array of diseases and will be a key member of our analytical team working to improve the health and outcomes for our patients. [More]
The Bioinformatician will provide bioinformatics expertise and support for metagenomic sequence analysis, including benchmarking and evaluation of different free and open source (F/OSS) and Commercial off the Shelf (CotS) software products for pathogen genomics, metagenomics and metatranscriptomics. [More]
We are seeking an MS biostatistician with biomedical research background to join the Cancer Biostatistics Core of the Huntsman Cancer Institute. The person filling this position will write detailed analysis plans, carry out statistical analyses, and interpret analysis results, and must be able work effectively in a multidisciplinary group with regard to study design, statistical programming, analysis of data, and learning new statistical methods. The successful candidate will perform analyses of methylation, gene expression and metabolomics data, and will perform analyses of genetic epidemiology data, cancer survival and prognosis. [More]