Job Requirements: M.Sc. or higher Degree in Bioinformatics
Postdoctoral fellow with experience in lymphocyte biology, adaptive immunology, or lymphoid malignancies and an interest in learning the other fields. The postdoc will be responsible for prosecuting two funded projects, one in B cell Acute Lymphocytic Leukemia, and the other in Follicular Lymphoma. Responsibilities span the full length of the projects, from IRB and sample management to data quality control, analysis, and manuscript preparation. [More]
The Bioinformatician will independently determine programmatic approaches to problems, and develop computational tools and software programs that are computationally efficient, effective, and well documented for public release. He/She will apply these tools to large datasets to generate novel biological insights and will communicate results to collaborators via conference calls and lab meetings. He/She will also be expected to contribute to manuscript preparation and to give presentation at both national international meetings. [More]
A Post-Doctoral Research Fellow position is available in Dr. Wei Sun’s group at the Fred Hutchinson Cancer Research Center. [More]
A Postdoctoral Research Fellow position is available immediately to work on a collaborative project between the laboratory of Eric Holland and Hamid Bolouri in the Human Biology Division of the Fred Hutchinson Cancer Research Center (FHCRC), Seattle, WA. The postdoctoral fellow will join ongoing efforts under the auspices of the Solid Tumor Translational Research Initiative (http://www.sttrcancer.org/) to develop data analysis and visualization methods for large-scale, molecularly-detailed, patient timeline data (see http://www.fredhutch.org/en/labs/hidra.html, http://www.fredhutch.org/en/news/center-news/2014/06/hidra-database-affects-cancer-treatment.html, and http://oncoscape.sttrcancer.org/) [More]
Applications are invited for a post as a Career Development Fellow in Bioinformatics to join researchers working in the Oxford Parkinson’s Disease Centre, working to understand the neurobiology of Parkinson’s disease. You will analyse expression profiles generated from iPSC lines to identify and characterise the perturbed molecular networks underlying PD and related neurodegenerative disorders. The postholder will guide studies both to explore and treat cellular models of neurodegeneration. You will be encouraged to explore the links between the model molecular perturbations and the wealth of patient genomic and phenotypic data available within the OPDC and beyond. [More]
A position is currently available in our group for a post-doctoral researcher, with experience of bioinformatics, genomics data analysis and programming. [More]
A Postdoctoral Research Position is available in the Nuclear Dynamics Programme led by Dr. Peter Fraser at the Babraham Institute. We are looking for a highly motivated individual who can bring diverse skills to our multidisciplinary team working on 3D structure and organization of the mammalian genome. [More]
Design, develop, test, deploy, administrate, and maintain database, data transformation, data visualization, reporting, and medical information systems and platforms [More]
One postdoctoral position is available at the University of Gothenburg, Sweden. The position is part of the NNBCR consortium – Novel Neuroblastoma Biomarkers of Clinical Relevance (http://www.nnbcr.se).NNBCR is financed by the Swedish Foundation for Strategic Research. The overall aim of the project is to identify novel biomarkers and increase our understanding of the molecular basis of the childhood cancer neuroblastoma. NNBCR includes several research groups from the University of Gothenburg and Karolinska Institutet. [More]
The Computational Omics and Systems Biology (CompOmics) group of Prof. Dr. Lennart Martens, located in Ghent, Belgium, focuses on the analysis and integration of high-throughput life sciences data. The group is currently looking for a (junior) postdoc to work on the management and analysis of cell migration data in the context of a recently funded EU H2020 grant. The project is focused on the standardization, dissemination, and Machine Learning based analysis of cell migration imaging data. [More]