We’re looking for a Postdoctoral Scientist to join our Computational Genomics Group to develop novel computational and statistical approaches for the analysis and interpretation of genomic data in pediatric cancer and other rare genetic diseases. You will have the opportunity to work on a highly collaborative team, developing novel software tools... [More]

Originally posted on 2018-04-20 - Ends on 2018-06-19

We are looking for a candidate to join our Translational Bioinformatics team within the Computational Genomics Group to support the development of novel computational and statistical approaches for the analysis and interpretation of genomic data, primarily centered around pediatric cancer. The Senior Bioinformatics Scientist is responsible for researching, developing and implementing the optimal approach... [More]

Originally posted on 2018-04-19 - Ends on 2018-06-18

We are looking for a candidate to join our Translational Bioinformatics team within the Computational Genomics Group to support the development of novel computational and statistical approaches for the analysis and interpretation of genomic data, primarily centered around pediatric cancer. The Bioinformatics Scientist will research, develop and implement the optimal approach for analyzing genomic data... [More]

Originally posted on 2018-04-19 - Ends on 2018-06-18

We’re looking for a candidate to join our Clinical Informatics team, that supports the production informatics needs of IGM’s Clinical and Service laboratories. Members work closely with IGM faculty and R&D teams to design and build efficient instrument-to-interpretation pipelines for next-generation sequencing workflows, optimizing outcomes for our genomic medicine initiatives. [More]

Originally posted on 2018-03-01

We are looking for a candidate to join our Translational Bioinformatics team within the Computational Genomics Group to support the development of novel computational and statistical approaches for the analysis and interpretation of genomic data, primarily centered around pediatric cancer.  [More]

Originally posted on 2018-01-29

W e’re looking for a Postdoctoral Scientist to join our Computational Genomics Group to develop novel computational and statistical approaches for the analysis and interpretation of genomic data in pediatric cancer and other rare genetic diseases. You will have the opportunity to work on a highly collaborative team, developing novel software tools, utilizing the elasticity of the Cloud and innovative Big Data technologies. [More]

Originally posted on 2018-01-27

The Lead BCR Clinical Data Coordinator is responsible for setting priorities in analyzing the BCR’s/ organization’s needs for clinical data in their supported area, understanding the systems and data available to the organization, identifying deficiencies in needed data, providing analysis, solutions, and leadership to overcome deficiencies and delivering available data to the business. [More]

Originally posted on 2017-08-31

The research associate will work under the mentorship of the Dr. Jonathan Slaughter within the Center for Perinatal Research. Projects will utilize analyses of large, national databases and local clinically focused datasets to examine the comparative effectiveness of understudied medications and other treatments for sick newborns.  [More]

Originally posted on 2017-08-13
2017-05-04  -  Bioinformatics Analyst  -    -  

We’re looking for a candidate to join our Genome Informatics team that develops and applies analysis solutions for the next-generation sequencing (NGS) data produced by the Institute and collaborators. The candidate will have the opportunity to assist in all aspects of next-generation sequencing analysis including data generation, analysis, interpretation, and publication.  [More]

Originally posted on 2017-05-04
2017-04-22  -  DevOps Engineer  -    -  

We’re looking for a candidate with 1-3 years of experience for a DevOps style role on our Informatics Infrastructure Team. This team designs, implements, operates and maintains the high-performance compute infrastructure that is tailor designed to address the substantial processing, networking and data moving challenges arising from genomic science. [More]

Originally posted on 2017-04-22