Keran Moll
Director HEOR Real World Data & Analytics Research; Ex-IBMer
- Role
- Director, Heor Real World Data & Analytics Research at Regeneron
- Location
- Los Angeles, CA, US
- LinkedIn followers
- 500 followers
About Keran Moll
I am a seasoned and innovative health outcomes researcher with years of experience across multiple healthcare domains (e.g, pharmaceutical, government, consulting). I am passionate about different RWDs and their unique strengths and distinct powers. It is always a delight to tell a compelling story with the distilled insights hidden in the data.
Experience
Director, Heor Real World Data & Analytics Research
May 2022 — Present
Build and oversee a team of high-performing data scientists/programmers to execute in-house RWD analytics and generate real world evidence in support of Regeneron products in the ophthalmology therapeutic areaEvaluate RWD (claims, EHR, public data) for their fit-for-purpose for evidence generation, build and strengthen the in-house analytics platforms and related toolsMaintain up-to-date and broad knowledge of current landscape of RWD and vendor markets; lead in-depth evaluation of RWD assets (eg, large pan-TA EHR; specialty EHR; large claims databases) to inform data licensing decisions Collaborate with the HEOR therapeutic area lead and epidemiology team to develop study protocol and analysis plansLead the integration of social determinant of health (SDoH) data to in-house RWD to support evidence generation and Diversity, Equity & Inclusiveness (DE & I) initiativesLead internal evaluation of the utility of OMOP CDM in real-world studies
Education
Northwestern University
M.S., Biostatistics and Epidemiology
2009
Shandong University
Bachelor's degree
Indiana University Bloomington
Ph.D, Microbiology and Biochemistry
2009
Skills
- Healthcare Analytics
- Sas
- Outcomes Research
- Statistics
- Biostatistics
- Statistical Modeling
- Regression
- Logistic Regression
- Glm
- Data Analysis
- R
- Molecular Biology
- Bioinformatics
- Healthcare Information Technology
- Data Mining
- Predictive Modeling
- Data Management
- Analytics
- Healthcare
- Sas Programming
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