A PhD position is available in developing and applying computational and machine learning models for multilayered trans-omics data sets generated by state-of-the-art mass spectrometer (MS) and next generation sequencer (NGS). Our research project, funded by the Australian Research Council (ARC), aims to develop novel machine learning algorithms to analyse and integrate large-scale MS-based omics data with ultra-fast NGS-based omics data generated from complex biological systems. [More]

Originally posted on 2016-12-19
2016-12-19  -  Computational Biologist  -    -  

We are seeking a highly motivated Scientist or Sr. Scientist to join our efforts at Fulcrum. This individual will focus primarily on next generation sequencing data in conjunction with human or model organism phenotypic data as it relates to our therapeutic programs. [More]

Originally posted on 2016-12-19

A senior research scientist position is available immediately in the Bioinformatics Service Core Facility at the School of Biomedical Informatics, University of Texas Health Science Center at Houston. Exciting work to plan, direct, perform, and report on bioinformatics analysis to answer biological questions in collaboration with experimentalists. Meets with collaborators to understand the project so that the appropriate analysis can be developed. Communicates the plan, methods, and results of the analyses. Keeps current with advances in technology. Decisions impact the success of the research project(s).  [More]

Originally posted on 2016-12-19

The Institute for Biostatistics and Informatics in Medicine and Ageing Research at the Rostock University Medical Center (Germany) seeks, starting 1 February 2017 or as soon as possible thereafter,a Full-time Postdoctoral Scientific Researcher (E13/E14), with a focus on omics data analyses,for 4 years, with the possibility of an unlimited contract thereafter.  [More]

Originally posted on 2016-12-19

In the Sanger Institute Malaria Programme, we are generating large scale genomic and transcriptomic data and we are looking for driven individuals to join our analysis team. Our new initiative will generate thousands of parasite and mosquito genomes each year from around the globe. To make the most of these data, we want to implement additional technological (e.g., long read sequencing, single cell sequencing) and analytical (e.g., machine learning, variation graphs) advances. [More]

Originally posted on 2016-12-19

This project aims at identifying predictive markers of ex vivo drug sensitivity in Acute Myeloid Leukemia (AML). The successful candidate will investigate the application of machine learning methods to predict which drugs are most effective for a given AML tumour exploiting in-house and public data resources. [More]

Originally posted on 2016-12-19
2016-12-19  -  Bioinformatics Programmer  -    -  

Applications are invited for a skilled and motivated Bioinformatics Programmer to join the Imperial BRC Genomics Facility on the Hammersmith Campus of Imperial College London. You will implement, maintain and operate data management and processing pipelines for next-generation sequencing data generated by the facility. You will work closely with other bioinformaticians in the facility and with staff at the Imperial High Performance Computing Service and Data Centre. [More]

Originally posted on 2016-12-19

We are looking to recruit an enthusiastic, highly motivated Bioinformatician to work in the EGA and Archive Infrastructure Team at the European Bioinformatics Institute (EBI) located on the Wellcome Trust Genome Campus near Cambridge in the UK. [More]

Originally posted on 2016-12-18

Expressions of interest are sought from outstanding researchers for a Post-doctoral position in bioinformatics in the Viral Immunology Systems Program (VISP) at the Kirby Institute within the University of New South Wales, Sydney, Australia. [More]

Originally posted on 2016-12-16

The Experimental Cancer Genetics group at the Wellcome Trust Sanger Institute are seeking an experienced Biostatistician/Bioinformatician to contribute to the characterisation of mutational signatures and mutational landscapes from the genomes and epigenomes of lung tumours induced by carcinogen exposure. [More]

Originally posted on 2016-12-16