Job Skills: Cancer biology
Responsible for the application of existing data analysis techniques to Copy Number and SNP array data; development of novel statistical approaches for analyzing data; interaction with research and product development teams for collecting information and providing results; and working with large complex data sets. Provide analytical support for internal product research and development efforts. Must be able to work as part of a multi-disciplinary team. [More]
A data science analyst is needed to support our clinical pathway analytics effort across the organization to assess the clinical pathway adherence and progress by disease sites and perform advanced analytics based on data captured in our enterprise-wide data warehouse, EHR system, cancer registry and other source systems. This collaborative analytical work provides evidence-based tools for the institution to standardize care process best practices in an effort to improve patient outcomes. [More]
This position has primary responsibility for providing statistical and analytical bioinformatics expertise and interpretation to the scientific research programs at Aduro Biotech. Responsibilities: Analyze large-scale datasets such as raw microarray data (miRNA and mRNA), genomic and RNA sequence data, cytometry and proteomics data for clinical or basic research purposes... [More]
The New York Genome Center is looking for a highly motivated, detail-oriented individual to join our expanding computational biology group. As Bioinformatics Analyst, Cancer you will be responsible for the analysis of next-generation sequencing (NGS) data. You will work as part of a team of analysts and scientists led be experienced bioinformaticians. [More]
A Bioinformatics Research Scientist position is available in the lab of Dr. Charles Mullighan, MBBS (Hons), MSc, MD. This position offers an unrivaled opportunity to be embedded in an environment leading integrated genomic and experimental studies in Leukemia. As part of our laboratory, you will be involved in the integrative analysis of large cancer genomic datasets from patients with acute leukemia and related disorders. [More]
Applicants are invited for a Senior Research Associate at the UCL Cancer Institute to provide bioinformatics support and expertise to the Cancer Immunotherapy Accelerator (CITA). ( www.ucl.ac.uk/cancer/research/research-centres/immunotherapy-accelerator ) The post holder will lead the analysis and integration of mass spectrometry, flow cytometry, CyTOF, genomics and transcriptomics data. [More]
The Pharmacodynamic Assay Development / Implementation Section (PADIS) is responsible for identification of biomarkers of response to new targeted agents entering clinical trials in the Developmental Therapeutics Program of the National Cancer Institute. The scope of work includes assay design, development, validation, fitness for purpose testing, transfer of assays to clinical laboratories, and clinical specimen analysis when required. [More]
We are looking for a Bioinformatician in Prostate Cancer with interests in the fields of cancer genomics and bioinformatics. You will have extensive experience in the analysis of cancer genomics or other ‘big data’. The post is focused on the analysis of whole genome sequenced (WGS) data from more than 1200 prostate cancers. You will carry out the development of computational models, the statistical analysis of data and the scientific interpretation of data, as a member of a multi-disciplinary team. [More]
We are looking for an exceptional bioinformatics scientist with expertise in immuno-oncology research to apply state of the art genomics/genetics analytical approaches to help with understanding of disease mechanism, genetic variants, biological pathways, and predictive biomarkers with the ultimate goal of developing therapies. [More]
we are looking for a highly motivated and talented individual with a computational background to join the Cancer Data Science team. You will collaborate with scientists and engineers in a collegial work environment characterized by informality and intellectual rigor. By applying your computational and modeling skills to multimodal cancer data, you will drive the generation and testing of hypotheses leading to new biological insights. [More]