Pedram Azimzadeh

Pedram Azimzadeh

Senior Statistical Programmer - Rwe, Heor @Eli Lilly and Company

Washington, DC, US
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Dec 2024 — Present

Senior Statistical Programmer - Rwe, Heor @Eli Lilly and Company

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IN, US

Contributed to RWE and RWD studies on weight loss medicine using large-scale claims databases on Oncology, Cardio metabolic health and Neuroscience TAs• Supported HEOR analyses to assess clinical, economic, and humanistic outcomes for type 2 diabetes and obesity populations• Assisted in developing publications, abstracts, and value communication materials to share real-world evidence with scientific and payer audiences• Conducted claims and EHR-based analyses to evaluate treatment patterns, adherence, and outcomes in real-world practice• Collaborated with cross-functional partners to ensure RWE/HEOR insights informed broader evidence generation strategies

EDUCATION

N/A

University of Maryland Global Campus

Master of Science - MS, Data Analytics

SKILLS

Polymerase Chain Reaction (Pcr)Molecular CloningScienceBiochemistryResearchReverse Transcription Polymerase Chain Reaction (Rt-Pcr)Scientific WritingMicrosoft ExcelMicrobiologyNeuroscienceWestern BlottingLife SciencesMicroscopyTeachingPublic HealthGeneticsRBiotechnologyQualitative ResearchPcrCancer ResearchMolecular BiologyFluorescence MicroscopyLifesciencesProtein ExpressionStatisticsData AnalysisPythonCo-IpReal-Time Polymerase Chain Reaction (Qpcr)ElisaImmunologyEpidemiologyBiostatisticsFlow CytometryMitochondriaOrganelle IsolationMicrosoft OfficeCell BiologyPublic Speaking

ABOUT PEDRAM AZIMZADEH

Experienced Statistical Programmer and Biostatistician with expertise in Real-World Data (RWD), Real-World Evidence (RWE), Health Economics and Outcomes Research (HEOR), and Electronic MedicalRecords (EMR). Specialized in data analytics and statistical programming for healthcare research,focusing on biomarker discovery, oncology, and genetic epidemiology. Strong proficiency in R, R Shiny,SQL, and SAS, with expertise in translating SAS macros into R functions and pipelines for enhancedworkflow efficiency. Extensive experience working with RWD and large claims databases such as MarketScan,HealthVerity, ConcertAI, Komodo, and Optum. Skilled in managing complex data integration projects using cloudplatforms like Databricks and Snowflake, delivering actionable insights to support data-driven decision-making in clinical research and post-marketing studies.

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Pedram Azimzadeh — Senior Statistical Programmer - Rwe, Heor at Eli Lilly and Company in Washington, DC, US | Unifers