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Statistical Programmer and Statistics graduate student with over four years of experience supporting oncology and infectious disease clinical trials in the pharmaceutical industry. Skilled in SAS programming, SDTM/ADaM development, TLF generation, CDISC standards, and regulatory submissions. Currently completing an M.S. in Statistics at the University of Minnesota with minors in Biostatistics and Computer Science. Experienced in clinical trial analysis, survival analysis, Bayesian, longitudinal modeling, large-scale observational health research, and machine learning projects using SAS, R, Python, and SQL.
University of Minnesota
Statistics with minor in Biostatistics and Computer Science
September 3, 2024 – June 30, 2026
Cultural Fit Analysis
The candidate has experience in both industry (pharmaceuticals, clinical research organizations) and academic research settings, indicating adaptability to different work environments. The pursuit of advanced education while working, along with participation in research challenges, suggests a proactive and continuous learning mindset. The diverse project experience, from clinical trials to advanced research in epigenetics and proteomics, aligns well with the breadth often required in ML Research Scientist roles.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills through working with multidisciplinary teams and mentoring junior members. Experience in managing timelines and ensuring on-time delivery indicates good organizational and project management capabilities. The role as a Study Coordinator also suggests attention to detail and regulatory compliance.