Job Skills: Cancer biology
Deliver computational analyses of different data like clinical data, RNAseq, NGS, molecular profiling, proteomics, mutation, methylation databases (mostly cancer related data) to find the potential biomarkers and signature patterns of multiple drugs; Work with the computational and data analyst team at lantern pharma to find new data sources and discover novel computational methods / machine learning techniques to benefit the Lantern Pharma mission... [More]
The BioPharma team at Guardant Health is focused on partnerships with leading biotech and pharma companies who are at the forefront of cancer therapeutics and diagnostics. In this role, you will help support the bioinformatics and data analysis necessary to generate and maintain these partnerships. [More]
Pfizer Oncology Computational Biology group (La Jolla, CA) is seeking a highly motivated postdoctoral fellow to join our team. This postdoc will work on clinical cancer multi-omics and immune oncology profiling studies aimed to elucidate the molecular bases of drug treatment response and resistance using multi-platform datasets in a highly collaborative environment with clinicians, biologists and statisticians. [More]
The Clinical Data Analyst will implement and deliver products for all clinical and research data analytics pipelines for the Clinical Genomics business unit. This role will work closely with the clinical lab director, CLIA lab and business development team to establish and maintain credibility for JAX in the clinical analytics space through method implementation and publications. [More]
The Computational Biologist, working with limited supervision and reporting to the Director of the Single Cell Biology Laboratory, will participate in the collaborative single cell biology program aligned with institutional strategy and direction and make leading contributions to the cutting edge projects at The Jackson Laboratory. [More]
The Bioinformatics Scientist will be responsible for development of clinical diagnostic assays and biomarker signatures for pharmaceutical partners through research, implementation, and validation of advanced computational methods. The successful candidate will possess strong analytical skills, solid programming experience, a high level of professional maturity, and ability to consistently meet deadlines under pressure. [More]
The Dana-Farber Cancer Institute seeks a POSTDOCTORAL COMPUTATIONAL BIOLOGIST FELLOW, under the Van Allen lab and the Center for Cancer Precision Medicine to work on the analysis of new datasets generated in the context of multiple clinically oriented cancer sequencing projects in order help advance efforts for precision cancer medicine and immuno-oncology. [More]
As part of this team we are hiring an experienced and motivated computational biologist to develop, maintain and apply analytical workflows for whole genome sequencing data. The position is responsible for running genome sequencing data analysis pipelines, testing and maintaining existing workflows (written for bcbio and the Common Workflow Language), expanding quality control metrics in preparation for accreditation processes and evaluating new methods with a focus on cancer sequence analysis (DNA and RNA) in collaboration with local staff and international collaborators. [More]
We are seeking a highly motivated bioinformatician with significant academic and/or industry experience to join our Integrated Science and Translational Bioinformatics Immuno-Oncology teams. The mandate of the Integrated Science group is to integrate, synthesize and analyze internal and external data that address defined translational questions of fundamental importance to the field of Immune-Oncology (IO) so to generate actionable scientific insights, hypotheses, and recommendations for stakeholders across the enterprise. [More]
We are seeking a highly motivated bioinformatician with significant academic and/or industry experience to join our Integrated Science and Translational Bioinformatics Immuno-Oncology teams. The mandate of the Integrated Science group is to integrate, synthesize and analyze internal and external data that address defined translational questions of fundamental importance to the field of Immune-Oncology (IO) so to generate actionable scientific insights, hypotheses, and recommendations for stakeholders across the enterprise. [More]