Motivated individual with a strong background in statistical programming methodologies (e.g., Python, R, SQL, SAS, and Excel) and a penchant for thinking outside of the box. Seeking opportunity to utilize creative expertise and analytical/strategic toolkit.
Minor in Business
Certificate in Computer Science
β’ Mapped clinical data from 12 clinical Phase I/II/III studies (drugs treating breast cancer, solid tumors, hypertension, etc.) using
SAS 9.4 and CDISC SDTM standard guidelines β additionally, wrote trial designs and annotated Case Report Forms (CRFs)
β’ Provided real-time insights and digestible conclusions from clinical studies with 10,000+ subject data points over 100+ fields
β’ Validated and debugged colleaguesβ data mapping; updated extensive SAS programs to account for live data fluctuations
β’ Built macro program mapping an integrated IE domain (Inclusion/Exclusion Criteria Not Met), cutting coding time by 80%
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