Jing received an award from The Translational Data Science Integrated Research Center for the pilot project on “Systems biology analysis of the immunomodulatory influence of circulating gut microbe-derived metabolites after transplantation”.
This project is in collaboration with Dr. Kate Markey, and will analyze a novel blood sample-derived data set. Collected from patients who underwent allogeneic stem cell transplantation, these samples have already been analyzed using state of the art flow cytometry and metabolomics methods. We now aim to a) develop new understanding of the links between microbial metabolites and immune function, and b) develop novel computational approaches to analyze these types of data sets.
Jing received an award from The Pathogen Associated Malignancies Integrated Research Center for the pilot project on “Statistical Methods for Network-based Analysis of the Colorectal Cancer Microbiome”.
This project is in collaboration with Dr. Amanda Phipps (associate professor of epidemiology, University of Washington, and associate professor in the Public Health Sciences Division), Dr. Sam Minot (associate director of data science applications, Hutch Data Core) and Dr. Neelendu Dey (assistant professor in the Clinical Research Division).
Ilias Moysidis obtained his Ph.D. in Statistics from Penn State University in 2021. Welcome, Ilias!
I will be visiting Department of Statistics at Texas A&M University as Assistant Professor, during the academic year 2019-2020.
Jing received award from The Jayne Koskinas Ted Giovanis Foundation for Health and Policy, joint with Minjoung Kyoung, Michael Konopka, Tara Sigdel, Young Hwan Chang on a proposal titled ``Understanding Therapeutics Failures Through 4D Single-cell Analysis of Metabolic Heterogeneity”.
Position Title: Postdoctoral Researcher in Biostatistics
Summary: The research group led by Dr. Jing Ma in the Division of Public Health Sciences at Fred Hutchinson Cancer Research Center and Prof. Ali Shojaie in the Department of Biostatistics at the University of Washington is seeking for a highly motivated postdoctoral researcher to develop novel statistical methods for problems in genomics and microbiome. The project will focus on methods for analysis of complex biological/ecological systems using novel statistical machine learning tools, including network analysis, high-dimensional regression and inference. This is a unique opportunity for someone who is interested in a collaborative environment and interacting with investigators with diverse experiences. The position is available for 2 years from August 1st 2018 (or by negotiation).
Duties and Responsibilities: The successful candidate will work with Dr. Jing Ma and Prof. Ali Shojaie in developing novel statistical/computational methods in the context of genomics and microbiome. He/she will have opportunities to join collaborative research projects within Fred Hutch and UW as well as external collaborations.
Position Qualifications: The successful candidate will have
In addition, the ideal candidate will also have
Salary Range: Competitive.
How to Apply: Please email the following materials to firstname.lastname@example.org:
Application is closed.
Fred Hutch is excited to host the 2018 Microbiome Symposium on March 16th, 2018! Sessons include
Jing will join Biostatistics within Division of Public Health Sciences as Assistant Professor, starting from August 1st, 2017.