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Qing Zhang Email & Phone Number

Senior Principal Data Scientist at Genentech Product Development Data Science RWD Science at Genentech
Location: South San Francisco, California, United States 6 work roles 7 schools
3 work emails found @gene.com 1 phone found area 650 LinkedIn matched
✓ Verified Jul 2026 4 data sources Profile completeness 100%

Contact Signals · 3 work emails · 1 phone

Work email z****@gene.com
Direct phone (650) ***-****
LinkedIn Profile matched
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Current company
Role
Senior Principal Data Scientist at Genentech Product Development Data Science RWD Science
Location
South San Francisco, California, United States

Who is Qing Zhang? Overview

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Quick answer

Qing Zhang is listed as Senior Principal Data Scientist at Genentech Product Development Data Science RWD Science at Genentech, based in South San Francisco, California, United States. AeroLeads shows a work email signal at gene.com, phone signal with area code 650, and a matched LinkedIn profile for Qing Zhang.

Qing Zhang previously worked as Senior Principal Data Scientist at Genentech and Sr. Scientist (Bioinformatics) at Genentech. Qing Zhang holds Phd, Pathology from University Of Pittsburgh School Of Medicine.

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*@gene.com
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Profile bio

About Qing Zhang

Passionate RWD and bioinformatics data scientist with vision, strategy & management skills: >20 years experience in pharmaceutical and biotech companies, ~12 years of which as a group leader managing PhD level scientistsExpertise in RWD, RWE, pharmacoepidemiology, genomics, bioinformatics, biomarkers, targeted therapies in Oncology, Immunology & Antibody Engineering, e.g., immune repertoire analysisSpecialties: Clinico-genomic RWD / RWE / Pharmacoepidemiology, Molecular Profiling, Translational Medicine, Bioinformatics, Biomarker, Gene Expression, MicroArray, Mutation, Copy Number Variation, Genomics, Pharmacogenomics, Next Generation Sequencing (NGS), RNA-Seq, DNA-Seq, Proteomics, Pathway Analysis, System Biology, Text Mining, Data Mining, Data Integration, Machine Learning, Artificial Intelligence, Computational Biology, Oncology, Immunology, Antibody EngineeringSkills: Perl, SQL, R, JAVA, C++, etc.

Listed skills include Genomics, Drug Discovery, Bioinformatics, Biomarkers, and 46 others.

Current workplace

Qing Zhang's current company

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Genentech
Genentech
Senior Principal Data Scientist at Genentech Product Development Data Science RWD Science
AeroLeads page
6 roles · 16 years

Qing Zhang work experience

A career timeline built from the work history available for this profile.

Senior Principal Data Scientist

Current

South San Francisco, California, Us

Global RWD Lead for Lung Driver Mutations Lifecycle Team

Jun 2018 - Present

Sr. Scientist (Bioinformatics)

South San Francisco, California, Us

Provide Bioinformatics support for Antibody Engineering and Protein Sciences

Aug 2014 - May 2018

Fellow - Bioinformatics Scientist

Tarrytown, New York, Us

Molecular ProfilingLead Oncology molecular profiling support across the pipeline: discovery, PK/PD & tox, translational and clinical• Led team to establish workflow and analysis pipeline for NGS profiling of tumor samples at both RNA and DNA level• Initiated testing of drug efficacy using in vivo models derived from CCLE/CGP tumor cell lines & established computational pipeline to discover predictive responder biomarkers by correlating response with public CCLE/CGP baseline profiling data• Established signature score algorithm enabling pathway/network analysis• Principal Investigator for TCGA data access dbGaP application for Regeneron • Participate in ImmunoOncology Working GroupFounded and led Integrated Genetics Working Group• Mined Loss Of Function genes from 1000 Genome Project for their Gain of Function variations from OMIM• Integrated in-house mouse KO phenotype & RNA-Seq profiling data for extreme phenotype analysis correlating phenotype with expression & variation dataEnabled molecular profiling and phenotype data integration, visualization & search capabilities across companyCoordinate with IT on development of Molecular Profiling project tracking system & Disease target data mining crowd-sourcing system

2011 - 2014 ~3 yrs

Principal Scientist

Merck Research Laboratories

Formerly Schering-Plough Research InstituteDiscover & develop biomarkers (target engagement, pharmacodynamics & predictive responder), & provide bioinformatics support for oncology programs• 2 biologics (monoclonal antibodies) (including MK3475 aka Keytruda Phase I clinical trial)• 3 small molecules (including MK8353 ERKi in Phase I clinical trial)Contribute to Biomarker & Statistical Analysis Plan in Early Development Plan (EDP), Protocol, & Sample Collection Requirements in Procedural Manual for clinical programs Coordinate genome-wide molecular profiling effort & integrated data analysis for mutation, copy number variation, gene expression, next generation sequencing & proteomicsInitiated collaboration with Animal Health to apply molecular profiling (e.g., Next Generation Sequencing (NGS)) to optimize protein production in engineered cells; Initiated collaboration with BioSimilar to apply molecular profiling to discover & develop responder biomarkersServed as Bioinformatics representative on NTRLC IT WG (New Technology Review & Licensing Committee IT Working Group) to evaluate, recommend and fund new technologies

Apr 2003 - Dec 2011

Principal Scientist

Kenilworth, New Jersey, Us

Co-led Oncology bioinformatics integration effort during Schering Plough & Merck mergerFounded and co-organized Drug Discovery & Development Symposia on Zetia/Vytorin, Sugammadex, Boceprevir & Telcagpant to educate scientists about R&DServed as Bioinformatics lead on Oncology Signal Transduction & Cell Cycle Lead Finding Teams to manage Target Identification/Validation & Lead Identification portfolio and resources Built genome, transcriptome & proteome model for human, mouse, rat & dog; Integrated sequence, species homologs, functional annotation (e.g. tissue expression profile, protein domains) & internal experimental data; Explored outsourcing Designed & implemented novel algorithms (e.g. species conservation & cyclic peptides) to mine peptide candidates for GPCR ligands or other bioactivity; Developed method integrating protein structure modeling (threading) with evolutionarily conversed residues analysis to assist protein function prediction; Applied species conservation (Ka/Ks) to target prioritizationDeveloped phenotype mapping tool to advance druggable genes (e.g. GPCR, protein kinase, ion channel) to target validation; Identify genes in disease loci across species & prioritize based on gene expression profile and QTL strains cSNPsIntegrated and analyzed data from various animal models (e.g., human, mouse, rat, worm) on various platforms (e.g. microarray, proteomics) for Zetia Mechanism of Action projectRecommended targets for anti-infectives & animal health; Cataloged essential genes in bacterial or fungal pathogens; Provided specificity & broad-spectrum-ness by comparative genomicsStreamlined protein functional annotation pipeline & increased efficiency 10x

Apr 2003 - Nov 2009

Sr. Scientist And Scientific Program Manager

Managed a group of 5 scientists as direct reports since 1999Co-managed candidate triage project, automated collection of genomic, function and competitive information for targets pursued at Celera Therapeutics & DiagnosticsManaged Isis collaboration project; Selected genes based on anti-sense phenotypeCollaborated with ClearForest & won KDD (Knowledge Disc. & Data Mining) cup 2002Led team & generated first proof that WGS (whole genome shotgun sequencing) worked for eukaryotesDesigned database schema & developed pipeline for genome mapping & annotationServed as contact for Drosophila gap closure with BDGP (Berkeley Drosophila Genome Project) & Baylor; Represented scientists in customer support team

Nov 1998 - Apr 2003
7 education records

Qing Zhang education

Phd, Pathology

University Of Pittsburgh School Of Medicine

Summer Program, Pharmacoepidemiology

Mcgill University

Ms, Computer Sciences

The Johns Hopkins University

Artificial Intelligence

Carnegie Mellon University

Postdoctoral Fellow, Cell Biology & Signal Transduction

Columbia University Vagelos College Of Physicians And Surgeons

Bachelor’S Degree, Biochemistry

Fudan University

High School

Fuxing High School
FAQ

Frequently asked questions about Qing Zhang

Quick answers generated from the profile data available on this page.

What company does Qing Zhang work for?

Qing Zhang works for Genentech.

What is Qing Zhang's role at Genentech?

Qing Zhang is listed as Senior Principal Data Scientist at Genentech Product Development Data Science RWD Science at Genentech.

What is Qing Zhang's email address?

AeroLeads has found 3 work email signals at @gene.com for Qing Zhang at Genentech.

What is Qing Zhang's phone number?

AeroLeads has found 1 phone signal(s) with area code 650 for Qing Zhang at Genentech.

Where is Qing Zhang based?

Qing Zhang is based in South San Francisco, California, United States while working with Genentech.

What companies has Qing Zhang worked for?

Qing Zhang has worked for Genentech, Regeneron Pharmaceuticals, Merck Research Laboratories, Schering-Plough Research Institute, and Celera Genomics.

How can I contact Qing Zhang?

You can use AeroLeads to view verified contact signals for Qing Zhang at Genentech, including work email, phone, and LinkedIn data when available.

What schools did Qing Zhang attend?

Qing Zhang holds Phd, Pathology from University Of Pittsburgh School Of Medicine.

What skills is Qing Zhang known for?

Qing Zhang is listed with skills including Genomics, Drug Discovery, Bioinformatics, Biomarkers, Biotechnology, Molecular Biology, Computational Biology, and Cell.

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