The Research Scientist (Fridley Lab) will process, anlayze, integrate, and interpret multi-omic in-house data, as well as from public reference datasets. This role will also be involved in software and package development to aid in the analysis of genomic data. The research focus of the Fridley lab is three-fold: (1) To develop innovative analysis methods and software for the analysis of genomic/molecular data, including tools for spatial transcriptomic data and spatial proteomic imaging data; (2) To apply innovative methods to studies being conducted in collaboration with researchers at Children’s Mercy; (3) To leverage existing data to develop novel hypothesis related to cancer development / progression / treatment response and pharmacogenomics. You must have experience in command line environments (High-Performance Compute Clusters and Linux computing), statistical analysis (R or python; preferably R) and familiarity with standard statistical and bioinformatic software used in cancer genomics and genetic studies. You will have ownership of a research project(s) (planned in collaboration with Dr. Fridley) and responsibility across the full project lifecycle, from initial planning to final publication. Flexible work hours and potential for hybrid schedules are possible. More information about the lab can be found at www.childrensmercy.org/childrens-mercy-research-institute/research-areas/labs-and-research-teams/fridley-lab/.
PhD in Bioinformatics, Data Science, Computer Science, Biostatistics, Statistics, Computational Biology or Biological Sciences.
Please apply online at jobs-childrensmercykc.icims.com/jobs/31249/statistical-genomics-res.-scientist/job