Job Skills: Cancer biology
Cancer is a complex, resilient disease. Cancer is also a genomic disease, and the key to understanding and defeating it is understanding the diverse genomic patterns that drive cancer. The first generation of cancer genomics delivered ‘things’ – mutations, amplifications, fusions, expression profiles, etc. We’re looking for an ambitious postdoc to help us understand the next generation of cancer genomics – the patterns of genomic changes that will reveal the molecular strategies used by tumors, and reveal new therapeutic possibilities. [More]
We seek an experienced bioinformatics scientist / computational biologist to join a dynamic Translational Medicine bioinformatics group dedicated to the development of cancer therapeutics. As an integrated part of a Translational Medicine and Discovery Teams, you will: Develop analysis and quality control pipelines for a variety of Next Generation Sequencing (NGS) applications such as DNA-seq, ChIP-seq, and RNA-seq; Implement NGS pipelines on High performance computing (HPC) / Cloud computing environments. [More]
Applications are invited for the full-time position of Bioinformatician to join a large-scale whole genome sequencing study, and support a range of translational research projects within the Cambridge Breast Cancer Research Unit (CBCRU). Due to the launch of an exciting new project, the Personalised Breast Cancer Program (PBCP), which aims to offer whole genome sequencing to every patient being treated at the CBU, a unique opportunity has arisen for a bioinformatician to support the development of the informatics pipeline required for this project, and other related breast cancer translational studies. [More]
A 3 year postdoctoral position is available within Professor Caroline Dive’s Clinical and Experimental Pharmacology Group to conduct cutting edge translational research on Small Cell Lung Cancer (SCLC). The focus of our research is translational medicine with an emphasis on next-generation sequencing in the characterisation of tumour heterogeneity, as well as prognostic or predictive biomarker discovery to aid novel therapeutics and clinical efficacy. [More]
A Post-Doctoral Research Fellow position is available in Dr. Wei Sun's group at the Fred Hutchinson Cancer Research Center. The successful applicant will develop statistical/computational methods and software packages to study cancer omic data. Specific topics/applications include, but not limited to biomarker identification for immunotherapy, tumor (immune) microenvironment, intra-tumor heterogeneity, high-throughput sequencing data analysis, and high dimensional graphical model. [More]
The Novartis Cell and Gene Technical development and Manufacturing team is seeking a creative and accomplished bioinformatics expert to improve and optimize current T cell immunotherapy platforms. Partner with colleagues in research and informatics to develop, implement, and apply state-of-the art scientific algorithms and methods for R&D teams. Invent and implement creative solutions that go beyond current tools to deliver best solutions to the problems. [More]
We are looking for a talented and highly motivated Computational Biologist/Bioinformatics Scientist to develop computational methods for analysis of high-throughput data from Functional Genomics screens using shRNA and CRISPR technologies supporting discovery of novel oncology targets. The scientist will work closely with a functional genomics lab team to design and evaluate novel screening approaches. [More]
Responsible for assisting in ensuring data integrity and data competency for clinical and research data critical to business intelligence. This initiative addresses the current information architecture and technical environment challenges to establish the data request management foundation to create a standardized data access format across functional data. To successfully perform this role, the Specialist must have experience in the genomic and/or biology field, including deep knowledge of reference data repositories, standard practices, and analytical tools to transform, migrate, and analyze genomics data in disparate systems. [More]
Seeking individuals with expertise in bioinformatics and an understanding of the cancer genome to identify relevant cancer driver aberrations. The successful candidate will work collaboratively in a matrix environment to develop data analysis strategies to address key questions about cancer for our internal and external customers. Applications include diagnostics, target and biomarker discovery, indication selection, and clinical development strategies. [More]
As part of a talented and multi-disciplinary team advancing an exciting new approach to drug discovery and development, the successful candidate will be expected to manage a team of bioinformaticians, projects, timelines, and interface with AbbVie Stemcentrx scientists helping them with high throughput assay data analysis, visualization, and cross assay platform analyses in support of both discovery research and translational / biomarker discovery. [More]