Job Summary: Evaluate, develop, validate, and implement new next-generation sequencing (NGS) data analysis technology and technology enhancements, including bioinformatics analysis pipelines, testing/validation scripts, and other tools related to genetic diagnostics. Consult on process and technology improvements within R&D, Operations [More]

Originally posted on 2018-05-20 - Ends on 2018-07-19

Based at the Genome Sciences Centre at the British Columbia Cancer Agency, the successful incumbent will help to devise, develop and implement data sharing methods between our partner sites for cancer genome and transcriptome data. They will also research how these data can be used within Canada to improve precision medicine as it applies to the delivery of healthcare in cancer.  [More]

Originally posted on 2018-05-19 - Ends on 2018-07-18

We are seeking a Bioinformatics Data Scientist to join the Bioinformatics and Computational Biology Department. This is an excellent opportunity for someone looking to make a difference in our stimulating and dynamic organization.JOB OVERVIEW: We are looking for an independent contributor, with a creative streak to complement our cross-disciplinary bioinformatics and computational biology team.  [More]

Originally posted on 2018-05-19 - Ends on 2018-07-18

We are seeking a highly motivated and enthusiastic computational scientist to join a team dedicated to advancing Merck’s Oncology and Immuno-Oncology pipelines. The successful candidate will Develop, implement, and rigorously assess algorithms for the analysis of high-dimensional molecular data, including whole exome sequencing, bulk RNA-seq, single-cell RNA-seq, and large scale CRISPR screens.  [More]

Originally posted on 2018-05-15 - Ends on 2018-07-14
2018-05-13  -  Bioinformaticist  -    -  

As a Bioinformaticist within the translational genomics department of EA Genomics, you will be responsible to provide advanced analytical and interpretive expertise of NGS data. You will be an integral member of a team that strives to continually develop novel algorithmic and pipeline solutions serving the scientific and bioinformatic analysis needs of our clients. [More]

Originally posted on 2018-05-13 - Ends on 2018-07-12
2018-05-11  -  Sr. Software Engineer  -    -  

We are passionate about our users, our products, our technology, and our vision, and are looking for intelligent, talented, and entrepreneurial developers who are eager to join our world-class team. Qiagen is a professional work environment, valuing work-life balance. Responsibilities: As a Senior Software Engineer you will: Design and develop cutting edge web applications and user interfaces... [More]

Originally posted on 2018-05-11 - Ends on 2018-07-10

We are looking for a talented and highly motivated data scientist/ bioinformatician to be part of the Teichmann’s lab research, aiming to understand the functions of the human body at the single cell level. Recent technological advances have meant that we can now profile large number of cells at the single cell level... [More]

Originally posted on 2018-05-11 - Ends on 2018-06-10

Medical Science & Computing is searching for a Genomics Data Scientist / Computational Biologist to support the National Institutes of Health (NIH). This opportunity is full-time, and it is on-site in Bethesda, MD. Duties and Responsibilities: The Data Scientist is responsible for processing, analyzing complex data and developing insights from experimental data... [More]

Originally posted on 2018-05-10 - Ends on 2018-07-09

The Sweet-Cordero laboratory at the University of California San Francisco is seeking a post-doctoral fellow to be involved in research using computational tools to study the genomic and epigenetic basis of pediatric cancer. Our laboratory uses a variety of high throughput sequencing technologies including whole genome sequencing (WGS) and RNAseq... [More]

Originally posted on 2018-05-10 - Ends on 2018-07-09

The Applied Research Scientist position will support the Schmit lab - in the Department of Cancer Epidemiology. Dr. Stephanie Schmit is an integrative molecular epidemiologist undertaking cross-disciplinary work at the intersection of cancer epidemiology, biostatistics, genetics, and computational biology. Dr. Schmit's research combines wet and dry lab approaches... [More]

Originally posted on 2018-05-08 - Ends on 2018-07-07