Team Lead, Molecular Analytics
Team Lead, Molecular Analytics


Sara Gosline received a BA in computer science from Columbia University and spent two years working in the software field before returning to graduate school full-time. She received her master’s degree and PhD in computer science from McGill University, with a specialty in bioinformatics. Then, she moved to the Massachusetts Institute of Technology where she worked as a postdoctoral researcher in the Department of Biological Engineering with Ernest Fraenkel and Phillip Sharp; there, she focused on employing computational algorithms to disentangle biological data from cancer and other diseases. 

Since completing her training, she worked at Sage Bionetworks, a non-profit that focuses on accelerating the pace of biomedical research through enabling data sharing and collaboration. She focused on supporting scientific discoveries in rare diseases. Gosline has since become a research scientist at PNNL where she continues her research on rare diseases, as well as working with other large molecular datasets, specifically trying to employ novel algorithms in cancer and other diseases.

Research Interest

  • Cancer Systems Biology
  • Graphical Network Algorithms
  • Genomics, Transcriptomics, and Proteomics
  • Neurofibromatosis and Rare Disease
  • Open Science and Reproducible Research


  • PhD in Computer Science, McGill University, 2010
  • MS in Computer Science, McGill University, 2005
  • BA in Computer Science, Columbia University in the City of New York, 2001

Affiliations and Professional Service

  • Founding Member, Association of Cancer Systems Biologists













  • Gilchrist A, Au CE, Hiding J, Bell AW, Fernandez-Rodriguez J, Lesimple S, Nagaya H, Roy L, Gosline SJ, Hallett M, Paiement J, Kearney RE, Nilsson T, Bergeron JJ. 2006. “Quantitative proteomics analysis of the secretory pathway.” Cell. 2006 Dec 15;127(6):1265-81. doi: 10.1016/j.cell.2006.10.036. PubMed PMID: 17174899.


  • Scott MS, Calafell SJ, Thomas DY, Hallett MT. 2005. “Refining protein subcellular localization.” PLoS Comput Biol. 2005 Nov;1(6):e66. doi: 10.1371/journal.pcbi.0010066. Epub 2005 Nov 25. PubMed PMID: 16322766; PubMed Central PMCID: PMC1289393.