Statistical Programmer

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 interna

l

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.

Requirements

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

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