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Jing Jin Email & Phone Number

Director, Commercial Data Science and AI at AstraZeneca
Location: Wayne, Pennsylvania, United States 14 work roles 2 schools
1 work email found @cslbehring.com 3 phones found area 267, 646, and 208 LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 3 phones

Work email j****@cslbehring.com
Direct phone (267) ***-****
LinkedIn Profile matched
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Current company
Role
Director, Commercial Data Science and AI
Location
Wayne, Pennsylvania, United States
Company size

Who is Jing Jin? Overview

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Quick answer

Jing Jin is listed as Director, Commercial Data Science and AI at AstraZeneca, a company with 78605 employees, based in Wayne, Pennsylvania, United States. AeroLeads shows a work email signal at cslbehring.com, phone signal with area code 267, 646, 208, and a matched LinkedIn profile for Jing Jin.

Jing Jin previously worked as Director, Commercial Data Science & AI at Astrazeneca and Director, Compliance Officer, Digital Capabilities and Data Analytics at Sage Therapeutics. Jing Jin holds Ma, Statistics from Columbia University.

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Email format at AstraZeneca

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{first}.{last}@cslbehring.com
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AeroLeads found 1 current-domain work email signal for Jing Jin. Compare company email patterns before reaching out.

Profile bio

About Jing Jin

Lead team in designing data and analytics solutions to uncover business insights and translating assessments to actionable results. 15 years' experience on the life cycle management for inline brands in specialty medicines, vaccines and small molecule drugs. Well-versed in data strategy, advanced analytics, qualitative and quantitative research.Excellent communication and project management skills, effective people manager, strong problem solving and analytical skills, self-motivated with proven records of excellent performance.Specialties: Healthcare Compliance, Brand Performance KPI design and tracking, Marketing Mix Modeling and investment guidance, Sales force structure and sizing, Customer targeting, Market research, Advanced statistical modeling, Predictive Analytics, Proficient with statistical and data science programs and applications (e.g. SAS, SPSS, R, Python, Dataiku, S-Plus, MATLAB, Latent-Gold, Sawtooth, Neural Network, P-Stat,etc.); Advanced in Tableau dashboard, Pow BI and data visualization; Proficient in Microsoft Office Excel(VBA), Word, Access and Power Point. Certified Base and Advanced SAS programmer.

Listed skills include Sas, Spss, Microsoft Excel, Data Analysis, and 9 others.

Current workplace

Jing Jin's current company

Company context helps verify the profile and gives searchers a useful next step.

AstraZeneca
Astrazeneca
Director, Commercial Data Science and AI
Wayne, PA, US
Website
Employees
78605
AeroLeads page
14 roles

Jing Jin work experience

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

Director, Commercial Data Science And Ai

Wayne, PA, US

Director, Commercial Data Science & Ai

Current

Cambridge, Cambridgeshire, GB

Product Lead, US BBU CVRM, Data Science & AI initiatives

Nov 2023 - Present

Director, Compliance Officer, Digital Capabilities And Data Analytics

Cambridge, MA, US

Lead Sage’s Compliance Operation Data & Analytics programs. Partnered with Digital Enterprise Capability team and cross-functions to advise data actions at enterprise level. Developed strategy, project plans, applications, and methodologies to advance Sage’s compliance data analytics capabilities. Created guidance and process to help company uncover.

Apr 2022 - Sep 2023

Associate Director, Business Analytics

Melbourne, Victoria, AU

Served as proactive business partner and trusted consultant to key brand stakeholders and cross functional leads, provided strategic and tactical analytical support. Delivered brand performance, customer insights, marketing program and patient service program impact measurement, developed pandemic related insights to help better understanding of market.

Mar 2021 - Apr 2022

Sr. Manager, Business Analytics

Melbourne, Victoria, AU

Developed and standardized KPI metrics for effective brand performance measurement. Designed and operationalized various Tableau based interactive dashboards for sales and cross-function partners with close to real time insights for call planning and in-depth national and sub-national data analytics. Lead and initiated promotion effectiveness measurement.

Jan 2018 - Mar 2021

Customer Analytics Manager, Vaccine, Insights And Analytics

Gsk

Brentford, Middlesex, GB

  • Provide analytic solutions and strategic business insights to drive business decisions for Vaccine business unit:
  • Develop and enhance targeting strategy and methodology for sales force and marketing
  • Manipulate large database to uncover customer insights, conduct HCP/Account/Headquarter Account level analysis across different customer types to help develop optimal customer targeting
  • Partner with marketing team to drive optimal strategic & tactical decision-making for brands/segments through variety of analyses including segmentation, experimental design, predictive models,etc.
  • Provide guidance for data driven decision making, including optimal investment level, sales force size and structure, campaign targeting and measurement, etc.
Apr 2016 - Jan 2018

Multichannel Analytics Manager, Advanced Analytics Coe, Customer And Business Insights

Gsk

Brentford, Middlesex, GB

  • Support business units across Primary Care, Immunology, Vaccine with advanced analytic solutions and collaboratively worked with multiple teams to provide business insights for critical business decision making:
  • Specialized in Multi-channel analytics, campaign effectiveness, Rx impact measurement and ROI analysis
  • Applied advanced statistical modeling approaches and data mining techniques including Multivariate linear regression, Logistic regression, Time series analysis, Cluster analysis, experimental design and other.
  • Utilized SAS, SQL, JMP, R, Tableau for data processing, statistical modeling and data visualization
Aug 2015 - Apr 2016

Manager, Choice Analytics, Product Leadership, Nielsen Innovation Practice

New York, NY, US

Lead quantitative analysis on variety of customized marketing research projects for global pharmaceutical, CPG and Media clients:-Utilized advanced statistic modeling techniques (multinomial logit model, general linear regression, time series analysis, segmentation and cluster analysis, etc.) to help answer client business questions-Developed statistical.

Sep 2013 - Aug 2015

Associate Manager, Statistics And Methodology, Pharmaceutical Practice, Nielsen Bases

New York, NY, US

Provided methodological and statistical support to research team and client:-Played an active and leading role in designing projects, assisted project teams with common statistical problems by providing general statistical consultation-Used programs (SAS, SPSS, R, etc.) for data manipulation and analysis to ensure the accuracy, completeness.

Feb 2012 - Sep 2013

Senior Statistician, Nielsen Bases

New York, NY, US

Support client consulting team to provide innovative and creative solutions for clients business needs:-Design of quantitative market research projects with different methodologies-Conducted choice modeling, multivariate statistics, segmentation analysis in research projects-Mining of large databases (e.g., neural networks, Latent Gold, etc.) -Quantitative.

Aug 2011 - Feb 2012

Statistical Methodologist

US

@Futures is proud to announce we are now part of The Nielsen CompanyWorked on various projects and helped research team with all statistical needs:-Used a variety of statistical methods to gather, analyze and explore, interpret research data, -Conducted patient-case forecasting model using discrete choice method; Performed hybrid conjoint analysis to.

Feb 2008 - Jul 2011

Teaching Assistant

New York, NY, US

-Assisted in Course Introduction to Statistics, answered questions in this course to undergraduate students

Sep 2007 - Dec 2007

Student Advisor

Southwestern University Of Finance And Economics In China

-Advised undergraduate students on their academic courses and practices activities;-Lecture “Student Psychological Training and Development”;

Jun 2005 - Dec 2006

Financial Assistant (Intern)

Huaxia Bank Of China

-Analyzed and recorded Bank Financial Statements-Reported statistical index of bank performance

Jan 2005 - Apr 2005
Team & coworkers

Colleagues at AstraZeneca

Other employees you can reach at astrazeneca.com. View company contacts for 78605 employees →

2 education records

Jing Jin education

Ma, Statistics

Columbia University

Ba, Statistics

Southwestern University Of Finance And Economics
FAQ

Frequently asked questions about Jing Jin

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

What company does Jing Jin work for?

Jing Jin works for AstraZeneca.

What is Jing Jin's role at AstraZeneca?

Jing Jin is listed as Director, Commercial Data Science and AI at AstraZeneca.

What is Jing Jin's email address?

AeroLeads has found 1 work email signal at @cslbehring.com for Jing Jin at AstraZeneca.

What is Jing Jin's phone number?

AeroLeads has found 3 phone signal(s) with area code 267, 646, 208 for Jing Jin at AstraZeneca.

Where is Jing Jin based?

Jing Jin is based in Wayne, Pennsylvania, United States while working with AstraZeneca.

What companies has Jing Jin worked for?

Jing Jin has worked for Astrazeneca, Sage Therapeutics, Csl Behring, Gsk, and The Nielsen Company.

Who are Jing Jin's colleagues at AstraZeneca?

Jing Jin's colleagues at AstraZeneca include Marek Polaco, Scott Ghostone, Mariano Imbernón López, Marie-Claude Duperré, and Nada Mokhtar.

How can I contact Jing Jin?

You can use AeroLeads to view verified contact signals for Jing Jin at AstraZeneca, including work email, phone, and LinkedIn data when available.

What schools did Jing Jin attend?

Jing Jin holds Ma, Statistics from Columbia University.

What skills is Jing Jin known for?

Jing Jin is listed with skills including Sas, Spss, Microsoft Excel, Data Analysis, Statistics, Statistical Modeling, Statistical Sampling, and Quantitative Analytics.

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