Resume of Richard Thornton


Richard E. Thornton
SAS Developer & Health Data Scientist

Home: 201.787.8066 49 Moorsgate Circle
Cell: 201.787.8066 East Windsor, NJ 08520
E-mail: thornton.richard@gmail.com

summary

Advanced SAS Developer and Statistician with broad industry experience most recently in pharmaceuticals, healthcare insurance, and healthcare CRO’s including a solid ten years applied to HEOR studies and personalized medicine. Advanced analytical skills with twenty plus years of recognized contributions to the bottom line. Well–regarded team member and mentor, over twenty years of proficient SAS programming and five years R expereince strong interpersonal, and solid project management skills.

Analytical Software: Base SAS, SAS/GRAPH, SAS/STAT, SAS/ETS, SAS Enterprise Guide, SAS Enterprise Miner, Oracle (Toad, PL/SQL), SQL Server (T–SQL), Queryman (now Teradata SQL Assistant), MS SQL Server, Excel, Tableau, Spotfire, RStudio, Python
Programming Languages/Operating Systems: R, Python3, SQL, C, MVS/TSO/JCL, UNIX, Linux, Windows 10.
Databases: Oracle, SQL Server, Teradata, Netezza, Access.
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, linear programming, market mix modeling, and optimal policy selection.
Publications: Contributed 2009-2012 Medco Drug Trend Journal, Medicare Rx Data.

PROFESSIONAL EXPERIENCE

WNS
Senior Manager 5/18 – present
  • Working with an offshore team for a specialty pharmaceutical.
  • Tableau Dashboards, AWS platform with Redshift.
  • SQL.
  • Liquid Hub Data.
  • Symphony Data.
  • Veeva Data.






MMM/PMC, subsidiary of Innovacare
Senior Analyst SAS/R/Python, 10/15 – 5/18
  • Work mainly with pharmacy data, both Part D & Medicaid data.
  • Integral team member on all major reports; delivered over 3000 reports every 2 weeks, reporting on adherence and other measures delivered with SAS.
  • 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
  • Did cross-validation using R to build models and verify results.
  • Survival Analysis.
  • Logistic Regression.
  • Propensity matching.
  • Acted as a mentor to virtually everyone involved in analytics.
  • Developed simple Python programs for Excel deliverables.
  • Use of Tableau for Dashboards.
  • I also took One week Tableau Training/Bootcamp.

Independence Blue Cross Philadelphia, PA
Lead Research Analyst, 06/14-10/15
  • Research position utilizing SAS, 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.
  • Analyzed new Health Exchange population.
  • Predictive modeling of RX claims for disease outcomes.
  • Developed CHF, Diabetes, COPD, Depression Models.
  • Propensity matching.
  • Logisitic.
  • 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. 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 adhoc 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.
  • Adherence calculations with Diabetes medications.
  • Long term personalized medicine project.
  • 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.
  • Created data models with Oracle using Visio.
  • Led meetings and developed detailed slide presentations.




Earlier positions 1996 – 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
Bristol-Myers Squibb SAS Developer, 02/99-06/00
Dun & Bradstreet Data Modeler, 11/98-02/99
Visiting Nurse Services Development of Ad hoc & Production Reports, 04/98-11/98
Fair Isaac Inc. Credit Card Marketing and Mailing List Processing, 09/97-04/98
Empire Blue Cross Actuarial Systems SAS Developer, 01/96-09/97

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
S.O.A : Calculus, Statistics, Numerical Methods Society of Actuaries Exams
Machine learning class @ NYU Spring 2015



TEACHING EXPERIENCE

Taught HS Mathematics one summer for Upward Bound.

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