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Jay Tang Email & Phone Number

Director, Computational Biology, GI and Inflammation TAU at Takeda
Location: Los Angeles, California, United States 4 work roles 1 school
1 work email found @takeda.com LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 100%

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Work email j****@takeda.com
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Current company
Role
Director, Computational Biology, GI and Inflammation TAU
Location
Los Angeles, California, United States
Company size

Who is Jay Tang? Overview

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Quick answer

Jay Tang is listed as Director, Computational Biology, GI and Inflammation TAU at Takeda, a with 36992 employees, based in Los Angeles, California, United States. AeroLeads shows a work email signal at takeda.com and a matched LinkedIn profile for Jay Tang.

Jay Tang previously worked as Associate Director of Computational Biology, Early Clinical Development at Takeda and Assistant Professor/Associate Director of Bioinformatics, Interim Director of Genomics core at Cedars-Sinai. Jay Tang holds Doctor Of Philosophy - Phd, Bioinformatics from The University Of Georgia.

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{first}.{last}@takeda.com
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Profile bio

About Jay Tang

Jay Tang is a Director, Computational Biology, GI and Inflammation TAU at Takeda. He possess expertise in bioinformatics, computational biology, r, genomics, sequencing and 42 more skills. He is proficient in English.

Listed skills include Bioinformatics, Computational Biology, R, Genomics, and 43 others.

Current workplace

Jay Tang's current company

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Takeda
Takeda
Director, Computational Biology, GI and Inflammation TAU
Los Angeles, CA, US
Website
Employees
36992
AeroLeads page
4 roles

Jay Tang work experience

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Director, Computational Biology, Gi And Inflammation Tau

Los Angeles, Ca, Us

Associate Director Of Computational Biology, Early Clinical Development

Current

Tokyo, Jp

Oversee a team of Computational Leaders, who are responsible for the design and execution of computational biomarker strategies in gastrointestinal and inflammation therapeutic area• As the Computational Leader, develop and implement innovative multi-omics based biomarker strategies for clinical program development, including emerging RNAi, microbiome and cell therapy modalities. • Design, develop and validate gene signature panels for patient enrichment, selection, and stratification in clinical trials • Create and execute computational strategies for drug repurposing and indication expansion in late-stage clinical programs, such as Zasocitinib and Darvadstrocel franchises • In-silico predictions of drug combination efficacy and safety during lifecycle management (LCM) for Vedolizumab franchise • Serves as a subject matter expert (SME) for regulatory communications, industry consortiums, business development diligence teams.

Jun 2019 - Present

Assistant Professor/Associate Director Of Bioinformatics, Interim Director Of Genomics Core

Los Angeles, Ca, Us

Oversew the R&D, operations, and fulfilling diverse functions, • Directed the evaluation, acquisition, and implementation of cutting-edge genomics technologies and bioinformatics solutions. For instance, the team achieved the distinction of being the 1st certified single-cell transcriptome service provider in United States, and early adopter/key opinion leaders in spatial transcriptomics. • Established and fostered collaborations in genomics technologies and data analysis with industry and academic partners. Served as an ambassador at large for scientific consortiums as well as local research communities. Educated and shared domain expertise to support translational applications of genomics and bioinformatics as a scientific leader.• Initiated and developed institutional data strategies and informatics resourcing across multiple departments. Co-managed data infrastructure for large multi-omics datasets in clinical research studies on campus. • Responsible for administrative, operational, and fiscal planning, including budgeting, pricing, marketing, etc. As a result, the core facility quadrupled its revenue within three years.

Aug 2015 - Jun 2019

Bioinformatics Lead/ Senior Bioinformatics Scientist

Los Angeles, Ca, Us

Diseases-associated biomarkers identification via multi-omics data analysis, • Profiled the bacterial and fungal microbiome in gastrointestinal disorders such as IBD, IBS, and Hirschsprung, as well as in cancer patients. Notably, I established a fungal reference database for gastrointestinal fungal ITS mycobiome profiling.• Profiled clonal evolution through single-cell transcriptome analysis in lung airway epithelial progenitors from Idiopathic Pulmonary Fibrosis (IPF) patients, as well as in limbal iPSC from Type 2 Diabetic patients • Biomarker discovery via integrated analysis of transcriptome and epigenomics data for cancer patient subgrouping analysis, specifically in renal cell carcinoma and prostate cancer patients• Established an automation portal for NGS data storage, management, processing, analysis, and visualization.

Jun 2012 - Aug 2015
Team & coworkers

Colleagues at Takeda

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1 education record

Jay Tang education

  • The University Of Georgia
    The University Of Georgia
    Bioinformatics
FAQ

Frequently asked questions about Jay Tang

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What company does Jay Tang work for?

Jay Tang works for Takeda.

What is Jay Tang's role at Takeda?

Jay Tang is listed as Director, Computational Biology, GI and Inflammation TAU at Takeda.

What is Jay Tang's email address?

AeroLeads has found 1 work email signal at @takeda.com for Jay Tang at Takeda.

Where is Jay Tang based?

Jay Tang is based in Los Angeles, California, United States while working with Takeda.

What companies has Jay Tang worked for?

Jay Tang has worked for Takeda and Cedars-Sinai.

Who are Jay Tang's colleagues at Takeda?

Jay Tang's colleagues at Takeda include Leonardo López, Atsushi Hashimoto, Maxime Beauduin, Tran Thuong Huynh, and Aurélie Cuenot.

How can I contact Jay Tang?

You can use AeroLeads to view verified contact signals for Jay Tang at Takeda, including work email, phone, and LinkedIn data when available.

What schools did Jay Tang attend?

Jay Tang holds Doctor Of Philosophy - Phd, Bioinformatics from The University Of Georgia.

What skills is Jay Tang known for?

Jay Tang is listed with skills including Bioinformatics, Computational Biology, R, Genomics, Sequencing, Sequence Analysis, Statistics, and Molecular Biology.

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