Jun Wang Email & Phone Number
@carejourney.com
3 phones found area 781, 710, and 678
LinkedIn matched
Who is Jun Wang? Overview
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Jun Wang is listed as First VP, Principal Data Scientist at Alliant Insurance Services, a company with 1 employees, based in Lexington, Massachusetts, United States. AeroLeads shows a work email signal at carejourney.com, phone signal with area code 781, 710, 678, and a matched LinkedIn profile for Jun Wang.
Jun Wang previously worked as Principal Healthcare Analyst at Carejourney and Sr. Principal Data Scientist at Archway Health. Jun Wang holds Phd, Molecular Epidemiology from Keck School Of Medicine Of The University Of Southern California.
Email format at Alliant Insurance Services
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AeroLeads found 1 current-domain work email signal for Jun Wang. Compare company email patterns before reaching out.
About Jun Wang
• Over 15 years of experience in health analytics and research. Demonstrated success in using Real World Data, such as provider data, health plan data, EMR, cancer registry, as well as large national healthcare databases to conduct population study, episode of care analysis, provider performance evaluation, financial risk assessments, outcome analysis, etc.• Over 10 years of experience in leading Analytics teams for research and product development. Led strategic planning, product design, methodology development, statistical analysis, and project implementation. Served as a subject-matter expert to internal and external stakeholders. • Strong track record in designing and conducting clinical research, outcome research, epidemiology study, pharmacoepidemiology study, etc.• Demonstrated expertise in developing various analytical and actuarial models to identify major cost drivers, predict beneficiary cost and outcomes, and quantify financial risks and saving opportunities for providers participating in the value-based care payment programs. • Deep understanding and extensive hands-on experience with clinical data and large national databases, including Medicare databases LDS, CCW, CCLF, etc. and commercial databases BHI, Truven, etc. Expertise in relational database design, survey and questionnaire design, and data collection. • Proficient in using SQL and SAS for data manipulation, query, and statistical analysis on clinical and claim data. Proficient in using DataRobot and R to run machine learning models. Familiar with Python. Proficient in using Tableau, MicroStrategy, etc. BI tools to design and create dashboards and reports• Excellent problem-solving skills in designing and conducting innovative research and providing a broad range of consulting services for health plans, health systems, and providers. Excellent presentation and communication skills, as well as capabilities in building strong relationships with internal and external customers.
Listed skills include Data Analysis, Clinical Research, Healthcare, Epidemiology, and 8 others.
Jun Wang's current company
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Jun Wang work experience
A career timeline built from the work history available for this profile.
Principal Healthcare Analyst
Sr. Principal Data Scientist
Principal Data Scientist
Director, Product Management, Eoc Advisory Solutions
Biostatistician
Assistant Professor Of Medicine
Research Associate
Lecturer
Colleagues at Alliant Insurance Services
Other employees you can reach at alliant.com. View company contacts for 1 employees →
Kristi Bell, Csswb
Colleague at Alliant Insurance Services
Columbia, South Carolina, United States, United States
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AG
Adam Glenn
Colleague at Alliant Insurance Services
Dallas, Texas, United States, United States
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CS
Chris Skryd
Colleague at Alliant Insurance Services
Naperville, Illinois, United States, United States
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MS
Matthew Sweesy
Colleague at Alliant Insurance Services
Los Angeles, California, United States, United States
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M"
Michael "Mike" Jahner
Colleague at Alliant Insurance Services
Greater Phoenix Area, United States, United States
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LP
Laurie Phirippidis
Colleague at Alliant Insurance Services
Livermore, California, United States, United States
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LW
Leah W.
Colleague at Alliant Insurance Services
United States, United States
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MC
Marianne Chow
Colleague at Alliant Insurance Services
San Jose, California, United States, United States
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BR
Ben Ronis
Colleague at Alliant Insurance Services
Los Angeles, California, United States, United States
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KT
Kevin T. Kenny, Cpcu
Colleague at Alliant Insurance Services
New York City Metropolitan Area, United States, United States
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Jun Wang education
Phd, Molecular Epidemiology
Ms, Biochemistry And Molecular Biology
Md, Medicine
Frequently asked questions about Jun Wang
Quick answers generated from the profile data available on this page.
What company does Jun Wang work for?
Jun Wang works for Alliant Insurance Services.
What is Jun Wang's role at Alliant Insurance Services?
Jun Wang is listed as First VP, Principal Data Scientist at Alliant Insurance Services.
What is Jun Wang's email address?
AeroLeads has found 1 work email signal at @carejourney.com for Jun Wang at Alliant Insurance Services.
What is Jun Wang's phone number?
AeroLeads has found 3 phone signal(s) with area code 781, 710, 678 for Jun Wang at Alliant Insurance Services.
Where is Jun Wang based?
Jun Wang is based in Lexington, Massachusetts, United States while working with Alliant Insurance Services.
What companies has Jun Wang worked for?
Jun Wang has worked for Alliant Insurance Services, Carejourney, Archway Health, Oncolign, and Nthrive.
Who are Jun Wang's colleagues at Alliant Insurance Services?
Jun Wang's colleagues at Alliant Insurance Services include Kristi Bell, Csswb, Adam Glenn, Chris Skryd, Matthew Sweesy, and Michael "Mike" Jahner.
How can I contact Jun Wang?
You can use AeroLeads to view verified contact signals for Jun Wang at Alliant Insurance Services, including work email, phone, and LinkedIn data when available.
What schools did Jun Wang attend?
Jun Wang holds Phd, Molecular Epidemiology from Keck School Of Medicine Of The University Of Southern California.
What skills is Jun Wang known for?
Jun Wang is listed with skills including Data Analysis, Clinical Research, Healthcare, Epidemiology, Genetics, Cancer, Statistics, and Clinical Study Design.
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