Genomics, Single Cell, Gene Editing, Immunology
San Francisco Bay Area
ArsenalBio
Director of Data Analytics
South San Francisco, CA
10x Genomics
Staff Scientist
October 2017 to July 2019
Pleasanton, California
10x Genomics
Senior Scientist
April 2016 to October 2017
10x Genomics
Scientist
February 2014 to April 2016
Stanford University School of Medicine
Postdoctoral fellow
November 2010 to February 2014
Stanford, California
Vertex Pharmaceuticals
Summer intern
June 2010 to August 2010
Cambridge, MA
MIT
PhD student
September 2004 to June 2010
Cambridge, MA
Center for Molecular Medicine and Therapy, UBC, Vancouver
Summer Intern
May 2002 to August 2003
Vancouver, Canada Area
10x Genomics
Consultant
November 2013 to February 2014
Pleasanton, California
Stanford Graduate School of Business
Ignite program, Innovation and Entrepreneurship
2013 to 2013
The University of British Columbia
Bachelor of Science (B.Sc.), Computer Science and Biology
2000 to 2004
Massachusetts Institute of Technology
PhD, Computational and Systems Biology
2004 to 2010
What company does Grace Zheng work for?
Grace Zheng works for ArsenalBio
What is Grace Zheng's role at ArsenalBio?
Grace Zheng is Director of Data Analytics
What industry does Grace Zheng work in?
Grace Zheng works in the Biotechnology industry.
📖 Summary
Director of Data Analytics @ ArsenalBio South San Francisco, CAStaff Scientist @ 10x Genomics R&D lead for the development of single cell ATAC-seq- Lead the development of a droplet-based solution for single cell ATAC-seq, which was successfully launched in Nov 2018- Manage and mentor scientists matrixed into multiple multi-disciplinary product development and research teams- Establish collaborative research with academic partners From October 2017 to July 2019 (1 year 10 months) Pleasanton, CaliforniaSenior Scientist @ 10x Genomics Applications lead for Chromium single cell products- Led early and beta access programs by identifying, establishing and maintaining collaborations with academic leaders- Designed Verification and Validation experiments and led computational analysis of complex data sets- Generated high-impact scientific content for single cell conference talks, manuscripts and marketing collateral From April 2016 to October 2017 (1 year 7 months) Scientist @ 10x Genomics Participated in the development of linked-read technology and contributed to applications such as phasing and structural variant detection. From February 2014 to April 2016 (2 years 3 months) Postdoctoral fellow @ Stanford University School of Medicine I worked on the regulation and functions of long noncoding RNAs in mouse embryonic stem cells. Through high-throughput experiments, and computational analysis of next generation sequencing data (for example, RNA-seq, ChIP-seq), I identified cMyc, an oncogenic transcription factor, via the Dcr-miRNA circuitry, that is involved in regulating transcription of hundreds of long noncoding RNAs. From November 2010 to February 2014 (3 years 4 months) Stanford, CaliforniaSummer intern @ Vertex Pharmaceuticals I worked on identifying and validating new targets for inflammatory and auto-immune diseases. From June 2010 to August 2010 (3 months) Cambridge, MAPhD student @ MIT I have a PhD in Computational and Systems Biology, and have spent significant time doing experiments and analyzing large scale biological data sets. For my doctoral thesis, I focused on an important class of short noncoding RNA, miRNAs. I studied their evolution, and their functions in cancer and embryonic stem cells. From September 2004 to June 2010 (5 years 10 months) Cambridge, MASummer Intern @ Center for Molecular Medicine and Therapy, UBC, Vancouver I worked on developing software that integrates the annotation and prediction of genes. From May 2002 to August 2003 (1 year 4 months) Vancouver, Canada AreaConsultant @ 10x Genomics Analyzed next generation sequencing data to guide assay development From November 2013 to February 2014 (4 months) Pleasanton, California
Extraversion (E), Intuition (N), Thinking (T), Judging (J)
2 year(s), 1 month(s)
Unlikely
Likely
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