Job Title: Statistical Programmer, RWE Location: Parsippany, NJ Hours/Schedule: 8am-4pm, or 9am-5pm M-F Type: 12 month contract
Overview  Our partner, a Domestic Pharmaceutical company in New Jersey, is currently seeking to hire a Statistical Programmer(RWE). The perfect candidate for this role will have SME-level experience with SAS & SQL programming and knowledge of RWE databases(Medicare, EMR, etc.). If you are interested in being a part of this groundbreaking work, please apply!
Responsibilities

• Process, manage, and carry out analysis on our client's registry study and large claims databases.
• Learn to apply various statistical methods to RW research and clinical trial studies.
• Demonstrate knowledge of RWE databases (healthcare claims, charge data master, Medicare, EMR) and clinical trial data.
• Assist in developing statistical analysis plans and statistical outputs to support internal business strategy development and external communications via publications in conferences (abstracts, posters) and clinical journals (original, review manuscripts).
• Joggle multiple projects to meet the timeline.
• Learn subject matters and new statistical methods.
• Design and implement the development of macro/library codes (eg, SAS macros).
• Provide input and contribute into development of the SAS/SQL/R/Python programming environment.

• Master’s degree from an accredited college or university in health economics and outcomes research (with strong analytical skills), statistics, mathematics, psychometrics/psychology, epidemiology, computer science or related fields.
• Minimum 9 years of experience programming in SAS/SQL/R/Python with at least 3-5 year in the pharmaceutical industry.
• Proven strong and advanced programming and analytical abilities in SAS/SQL/R/Python including:
• Data processing/extraction and cleaning with SAS, SQL, R or Python
• SAS Macro language
• Application of statistical methods to health clinical and economic outcome data
• Deliverable outputs that are meaningful and easy to visualize and understand--descriptive data summary, statistical tests, graphical procedures, etc.
• Appreciation/understanding/interpretation of the results
• Demonstrate experience in conducting observational research and study design, strengths and limitations.
• Proven project management skills
• Good written and oral English communication skills