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Edward H. Murphy
ehmst3@gmail.com • (619)846-9684 • https://edwardmurphy.github.io
Biostatistician, Statistical Programmer, Data Analyst, Quality Engineer, and Analytical Chemist
Safety and efficacy analyses (design, execution, and summary) of clinical trials for IPs and medical devices at all phases (I-IV, including integrated studies and PK/PD) in therapeutic areas of diabetes, oncology, neurology, hepatology, nephrology, cardiovascular, respiratory, psychiatry, and vaccines
Use of statistical methodology for design and analysis of laboratory studies: study design using DOE principles, including defining process space; stability analysis; analytical method comparison, qualification and validation; statistical process control; development of specifications and manufacturing controls
CDISC standardized programming of SDTM and ADaM datasets and validation per Pinnacle 21
Process improvement and validation for manufacturing pharmaceuticals, biologics, and medical devices including use of large datasets of historical process output
Development of sampling schema for clinical trials, analytical methods, and manufacturing processes
Clinical and CMC sections of NDA and BLA submissions, clinical trial protocols and reports, SAPs, and miscellaneous technical documentation for regulatory filings
Team leadership of cross-functional groups including clients and other external stakeholders
Statistical Methodology Experience
Generalized Linear Mixed Models |
ANOVA/ANCOVA |
Multivariate Analysis |
Survival Analysis |
Crossover Trial Analysis |
Randomization |
Sample Size |
Multiplicity/Interim Analysis |
Subgroup Analysis |
Binary Response Data Analysis |
Stability Analysis |
Monte Carlo Simulation |
Design of Experiments |
Bayesian Methodology |
Capability Analysis |
Software/Programming
SAS |
R |
Python |
MatLab |
C/C ++/CUDA C |
Visual Studio |
Linux (multiple distributions) |
Windows and Office Applications |
Oracle Virtual Box |
SQL Database Management |
Shell Scripting |
Latex |
Education
M.S., Statistics, San Diego State University (incl. Ph.D. coursework at Claremont Graduate University)
B.S., Neuroscience, University of Pittsburgh (Phi Beta Kappa)
Employment History
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