Nandhini Krishnamurthy

I’m an Accomplished Statistical Programmer with 13 years of expertise in clinical and health sciences, delivering high-quality analysis and insights to drive informed decision-making. I’m passionate about fostering talent and aligning technology with business goals, and I bring a consistent track record of reliable, submission-ready output across multiple therapeutic areas.

At IQVIA (AstraZeneca), I’ve led programming for 6+ studies, delivering 26+ ADAM, SDTM, and TLF datasets for BDR, DMC, and CSR submissions with 99.9% quality accuracy. I create 25+ ADAM datasets by demoting production-level macros to protocol/study level, achieving 95% efficiency in dataset creation, and I develop 10+ non-standard ADAM datasets and special domains with 100% compliance. I also identify and correct 100+ errors in deliverables to keep quality at 99.5%, reporting issues promptly to clients and stakeholders.

Previously at IQVIA (FSP to Astellas), I managed 5+ projects, negotiated timelines for 40+ deliverables, and built 30+ standard utility and application macros that improved departmental efficiency by 30% and reduced programming time by 25%. I programmed 20+ analysis datasets in CDISC ADaM and validated 70+ datasets and TLGs using Proc Compare with 99.5% accuracy, while supporting SDTM 3.1.2 and 3.2 IG with 98% accuracy. I also contributed to 5+ studies by creating 20+ custom safety and efficacy reports using ODS, and at Eli Lilly I provided SAS programming expertise across 100+ ASCII datasets and resolved 90% of project challenges independently.