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Lei Jiang Email & Phone Number

Analytics | Digital Health | Data Science at Johnson & Johnson
Location: Greater Boston, United States 11 work roles 3 schools
1 work email found @cvshealth.com LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email l****@cvshealth.com
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Current company
Role
Analytics | Digital Health | Data Science
Location
Greater Boston, United States
Company size

Who is Lei Jiang? Overview

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Quick answer

Lei Jiang is listed as Analytics | Digital Health | Data Science at Johnson & Johnson, a with 100890 employees, based in Greater Boston, United States. AeroLeads shows a work email signal at cvshealth.com and a matched LinkedIn profile for Lei Jiang.

Lei Jiang previously worked as Sr. Manager, Data Analytics at Johnson & Johnson and Principal Data Analyst at Abbott. Lei Jiang holds Master Of Public Health (Mph), Chronic Disease Epidemiology from Yale School Of Public Health.

Company email context

Email format at Johnson & Johnson

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{first}.{last}@cvshealth.com
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AeroLeads found 1 current-domain work email signal for Lei Jiang. Compare company email patterns before reaching out.

Profile bio

About Lei Jiang

Healthcare analytics leader with a track record of driving data-driven insights and strategy. Passionate about business, healthcare, and technology.Data Science, Healthcare Analytics, Data Analysis, Storytelling, AWS, Azure, Big Data, Healthcare Claims Data, Statistics, Regression, Public Health, Education, Fintech, Consumer, Research

Listed skills include Epidemiology, Data Analysis, R, Public Health, and 9 others.

Current workplace

Lei Jiang's current company

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Johnson & Johnson
Johnson & Johnson
Analytics | Digital Health | Data Science
Boston, MA, US
Website
Employees
100890
AeroLeads page
11 roles

Lei Jiang work experience

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

Sr. Manager, Data Analytics

Current

New Brunswick, Nj, Us

Sep 2022 - Present

Principal Data Analyst

Abbott Park, Illinois, Us

Nov 2021 - Sep 2022

Sr. Data Scientist

Abbott Park, Illinois, Us

Jun 2020 - Nov 2021

Sr. Consultant, Analytics

Woonsocket, Ri, Us

• Built machine learning models to predict disease progression and understand campaign impact.• Analyzed claim data and pharmacy data and developed insight for patient segmentation to develop adherence driving solutions.• Designed and executed statistical tests to evaluate the impacts of different campaigns on clinical value and retail value.

Jul 2018 - Jun 2020

Research Assistant

New Haven, Ct, Us

Health outcome research for pediatrics

Feb 2018 - Jul 2018

Research Assistant

New Haven, Ct, Us

Evaluate determinants of and disparities in the utilization of novel prostate cancer staging and risk stratification tools including multi-parametric MRI and tissue-based gene expression testing.

Mar 2017 - Jul 2018

Healthcare Analyst

Hartford, Ct, Us

• Used machine learning algorithm to identify the claims with overpayment based on procedure, provider risk and patient risk, helping client gaining an average of 2 million revenues back each month.• Text-mining based on nurse comments with claim data to find patterns for fraud identification.• Implemented the model on a weekly and monthly base in claim data and selected the top risk claims for insurance company using SAS, communicated with the data engineer team and led the client calls.

May 2017 - May 2018

Healthcare Consultant

Case-Mix Analytics, Llc

Utilizing statistical programming to analyze Medicare data and state data for the hedge fund and private equity industries.

Apr 2017 - May 2018

Research Assistant

上海, Shanghai, Cn

Biostatistics and epidemiologyWorked on the genomic prediction of renal cancer based on mixed linear model and its optimization by R and python, increasing the prediction accuracy by 25%.

Sep 2015 - Mar 2016

Data Analyst

Luxembourg, Luxembourg, Lu

·Streamlined data analysis process and improved process efficiency·Analyzed the quantitative, qualitative and affective descriptive sensory test data using SPSS and R·Recruited, screened and trained panelists for sensory tests.

Mar 2015 - Sep 2015
Team & coworkers

Colleagues at Johnson & Johnson

Other employees you can reach at jnj.com. View company contacts for 100890 employees →

3 education records

Lei Jiang education

Master Of Public Health (Mph), Chronic Disease Epidemiology

Yale School Of Public Health

Bachelor Of Engineering (Be), Bachelor Of Management, Food Science And Engineering, Accounting (Dual Degree)

Shanghai Jiao Tong University

Summer Session Program, Public Health

Ucla
FAQ

Frequently asked questions about Lei Jiang

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

What company does Lei Jiang work for?

Lei Jiang works for Johnson & Johnson.

What is Lei Jiang's role at Johnson & Johnson?

Lei Jiang is listed as Analytics | Digital Health | Data Science at Johnson & Johnson.

What is Lei Jiang's email address?

AeroLeads has found 1 work email signal at @cvshealth.com for Lei Jiang at Johnson & Johnson.

Where is Lei Jiang based?

Lei Jiang is based in Greater Boston, United States while working with Johnson & Johnson.

What companies has Lei Jiang worked for?

Lei Jiang has worked for Johnson & Johnson, Abbott, Cvs Health, Yale New Haven Hospital, and Yale School Of Public Health.

Who are Lei Jiang's colleagues at Johnson & Johnson?

Lei Jiang's colleagues at Johnson & Johnson include Damanpreet Kaur Sethi, Jeanne-Marie Van De Vliet, Aiden Lee, Josh Stone, and Jacob Seibert.

How can I contact Lei Jiang?

You can use AeroLeads to view verified contact signals for Lei Jiang at Johnson & Johnson, including work email, phone, and LinkedIn data when available.

What schools did Lei Jiang attend?

Lei Jiang holds Master Of Public Health (Mph), Chronic Disease Epidemiology from Yale School Of Public Health.

What skills is Lei Jiang known for?

Lei Jiang is listed with skills including Epidemiology, Data Analysis, R, Public Health, Biostatistics, Statistics, Research, and Microsoft Office.

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