Job Skills: Cell Biology
The Department of Biomedical and Health Informatics at The Children’s Hospital of Philadelphia is currently searching for a well-qualified Bioinformatics Scientist III. The Bioinformatics Scientist III will apply knowledge of bioinformatics algorithms and analysis platforms to consult with investigators on their projects and to serve as a collaborative and sometimes lead investigator in academic output including assistance in experimental design and writing, including creation of scientifically rigorous visualizations, communications, and presentations of results. [More]
We are seeking a highly motivated and capable Computational biology / bioinformatics intern with extensive experience and interest in translational cancer research and biomarker development. This position requires experience in scientific programming, statistical methods development and implementation, and an understanding of cancer biology cell biology and human genetics. [More]
Dual reporting to Translational Development and Research Analytics, the candidate will be part of the late stage translational development group based in either Northern New Jersey or San Francisco bay area California. We seek a talented, collaborative computational scientist to lead work on the analysis of high-dimensional tissue, cell and molecular profiling data. The successful applicant is expected to play a key scientific and strategic role leveraging innovative computational analysis strategies and rich patient data to empower data-driven decisions for development programs in Celgene’s clinical portfolio. [More]
We are seeking to recruit a Postdoctoral Fellow to join the Petsalaki research group at the European Bioinformatics Institute (EMBL-EBI). You will use high throughput biological datasets, data integration and statistical modelling to study the global cell signaling responses in healthy and disease conditions. [More]
Contribute to solutions driving easy, automated analysis of human genetic variation obtained by high-throughput sequencing; Develop algorithms and applications deployed in production software for inferring biological knowledge from millions of short reads, and will optimize and validate application software; Work on applications of next generation sequencing, including some or all of the following: detection of ultra-low frequency variants, detection of gene fusions, detection of deletions and other structural variants, quantitation of differential gene expression; [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]
A position is available for a research associate to conduct research within a project funded by BBSRC investigating the role of chromatin structure in gene expression in Drosophila melanogaster. The successful candidate will have a postgraduate degree at PhD level in a related subject area or relevant industrial experience, proven ability to publish in international journals and a proven portfolio of research. [More]
We are seeking a highly qualified and motivated candidate who shares a passion for scientific discovery to join an interactive, interdisciplinary and international team in the Epigenetics Programme. The Postdoctoral Research Scientist will work on an ERC starting grant to study ageing using Caenorhabditis elegans as a model system. [More]
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]
We are looking for three highly motivated postdoctoral researchers in computational analysis of gene regulatory networks (network robustness and topological properties) and its applications in cancer biology. Our research objective is to develop graph-based algorithms to study important biological questions in stem cell and cancer biology. PhD in computer science, bioinformatics, or cancer biology. Good publications and experiences in computational biology. Position is 3-years long. [More]