Richard E. Thornton
201-787-8066
PROFESSIONAL SUMMARY:
· Advanced SAS Developer and Statistical Modeler with broad industry experience most recently in pharmaceuticals & health insurance, including a solid ten years applied to HEOR, patient studies and personalized medicine. Well regarded team member and mentor, with over twenty years of proficient SAS programming and three years of R experience, with strong interpersonal, and project management skills.
· 18 years of SQL
· 15 years of SAS EG
· 18 years using MS Office products including MS Access.
· Advanced SAS to Excel connection skills such as DDE.
· Comfortable with mainframes, UNIX/Linux & MS Windows 11.
· 5+ years total experience conducting full project lifecycle responsibility.
TECHNICAL SKILLS:
Analytical Software: Base SAS, SAS/GRAPH, SAS/STAT, SAS EG, SAS EM, SAS JMP, Oracle, MS SQL Server, Teradata, Tableau, Spotfire, RStudio, Python, MS Office.
Operating Systems: Windows 11, UNIX/LINUX/BSD, MVS/TSO/JCL.
Databases: OMOP, Oracle, SQL Server, Teradata, Netezza, Access, MarketScan, Optum, McKession, Japanese Health Data.
SQL Experience: PL-SQL, MS SQL-Server, Teradata, Hadoop Hive, Spark
Statistics: Statistical analytical plans, descriptive and inferential statistics, wide variety of modeling techniques including multivariate linear regression, logistic regression, and survival analysis. Expertise in comparative effectiveness research. Working knowledge of decision trees, Monte Carlo simulation, and optimal policy selection.
Publications: Contributed 2009-2012 Medco Drug Trend Journal, Medicare Rx Data.
PROFESSIONAL EXPERIENCE:
Amgen Senior SAS Consultant 2/19 – Present.
· Heavy use of Proc SQL in a Databricks and prior to that the Hadoop framework.
· Marketscan, Optum, Optum_EHR, Optum Market Clarity Data, McKesson, Japanese Health Data
· OMOP 5.3
· SAS Grid server environment with a SAS EG 8.2.
· Main deliverables are QC’d SAS datasets imported into Spotfire for internal client visualizations.
· I have been the primary programmer on several projects related to Aimovig, Evenity, Otezla, Enbrel, and most recently Gastric Cancer using McKesson data.
· Real World Data such as Optum , Optum_EHR, and MarketScan are used for full, 360 view visualizations of incidence and prevalence patients, encompassing their index dates, baseline medications, baseline comorbidities, and time to event survival curves such as time to discontinuation. Depending on the analysis, Sankey diagrams of medication switching, and lab data for appropriate measures such as A1C, or other blood chemistry are also added to the deliverable mix.
PROFESSIONAL EXPERIENCE:
Amitech Solutions; Senior SAS Programmer 9/18 – 12/18.
· Heavy use of Proc SQL in an Oracle Environment
· Contract role with Magellan Health in the BI area working on Medicare Part SAS 9 /Macro reporting.
· Integrated data across multiple databases (internal SAS, external: Excel, SAS parsing routines, Teradata).
· Supported SAS in a Windows environment with Oracle & Netezza.
· Survival curves, adherence calculations, PMPM.
WNS: Contract Consultant 5/18 – 9/18
· Utilized Liquid Hub Data, Symphony Data and Veeva Data.
· Led and an offshore team for a specialty pharmaceutical utilizing SAS 9.4 connection to Redshift.
· Provided Symphony Data of all major products by all physicians for two years monthly around 50 million rows. Supported Simple Linear Regressions and All visuals built with Tableau.
MMM/PMC, subsidiary of Innovacare
Senior Lead Analyst SAS/R/Python, 10/15 – 5/18
· Integral team member on all major reports; delivered over 3000 reports every 2 weeks, reporting on adherence and other measures delivered with SAS 9.4, SAS 9, via Macro reporting.
· Heavy use of Proc SQL in an SQL Server Environment including pass-thru SQL.
· In addition to advanced SAS programming, performed logistic modeling looking at predicting likelihood of disease markers, for risk evaluation using EM 14.1 & EG 7.1.
· Work mainly with pharmacy data, both Part D & Medicaid data.
· Developed simple Python programs for Excel deliverables and utilized Tableau for Dashboards.
· Did cross-validation using R to build models and verify results.
· Provided Survival Analysis, Logistic Regression and Propensity matching.
· Acted as a mentor to virtually everyone involved in analytics.
Independence Blue Cross Philadelphia, PA
Lead Research Analyst, 06/14-10/15
· Research positions utilizing SAS 9.4, Enterprise Guide, Enterprise Miner, and Teradata for claims analysis with the intention to estimate future claims cost from current patient chronic disease, based on Rx claims, medical claims, and lab values and Macro reporting.
· Supported Windows, Unix, Shell, Batch Jobs, Teradata.
· Integrated data across multiple databases (internal SAS, external: Excel, SAS parsing routines, Teradata)
· Analyzed new Health Exchange population.
· Developed a predictive modeling of RX claims for disease outcomes.
· Developed CHF, Diabetes, COPD, Depression Models.
· Responsible for Propensity matching, Logistic and Survival Models.
· Extensive use of the integrated claims/RX/Med/Lab data
Merck Rahway, NJ
Global Trial Operations Informatics Specialist, 6/12-06/14
· Key deliverables were tables, listings and graphs, maps using Tableau, Spotfire and SAS 9.4.
· Migrated from SAS 9.3 to SAS 9.4
· Used Spotfire 5.5 and Tableau 8.1 for data visualizations, including maps, overlaying prevalence with trial investigators
· Use of Tableau and JMP to access third party patient longitudinal data.
· Created analytic files of either investigator or site characteristics with SAS 9.3
· Generated ad-hoc requests analyzed enrollment trends, patterns, and metrics.
· Analyzed retention patterns.
· Enterprise Guide 4.3 as an analytic tool for easy ODS outputs.
· Use of JMP 10 for data mining. R 2.15 used in Monte Carlo simulation work and @RISK.
· Enrollment cycle time analysis and predictive enrollment modeling and simulation completed using R and @RISK.
· Extensive analysis using claims databases such as GE Centricity and Truven for estimation of prevalence for protocol feasibility.
Express Scripts Franklin Lakes, NJ
Analyst/Programmer 9/07-6/12
· Developed a strong methodology for estimating patient cost savings using generics.
· Unix, Shell , Batch Jobs
· Worked on both Unix / Windows connecting to Teradata writing Bash scripts for the automation of Jobs.
· Adherence calculations with Diabetes medications.
· Long term personalized medicine project, longitudinal study, including the statistical plan.
· Simple decision trees for variable reduction for modeling
· Predictive models using logistic, correlated data and other multivariate methods.
· Managed internal client expectations including clinical staff.
· Led meetings and helped with data insight.
Pfizer Inc.
SAS BI / Data Modeler 12/06-9/07
· Created a meta-data server/repository environment for data modeling projects.
· Main project was analyzing “spillover” from Medicaid onto third-party plans.
· Models developed were mainly Linear Regression models using panel data.
· Created data models with Oracle using Visio.
· Led meetings and developed detailed slide presentations.
EARLIER POSITIONS: 2000 – 2007
Sanofi-Aventis Analyst Programmer CV Primary Market Research, 09/05-12/06
Guardian Life Insurance SAS Developer, 04/05-09/05
Merck & Co Inc. SAS Developer, 10/04-04/05
Pfizer Inc. SAS Developer, 02/04-10/04
ZS Associates Princeton NJ, Analyst Programmer, 10/03-02/04
Schering-Plough Kenilworth SAS Developer, 02/03-10/03
Bristol-Myers Squibb SAS Developer, 06/01-02/03
Merck-Medco Database Marketing Analyst, 02/01-06/01
Paine Webber Database Marketing Analyst, 06/00-02/01
EDUCATION:
M.S. coursework in Applied Mathematics University of Tennessee (Knoxville);
M.S. coursework in Chemical Engineering University of Tennessee (Chattanooga)
B.A. in Mathematics University of Tennessee
Society of Actuaries: Calculus, Statistics, Numerical Methods Society of Actuaries Exams
Machine learning class @ NYU Spring 2015
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