Sr Manager Statistical Programming

The Senior ManagerStatistical Programming a handson expertlevel programmer in SAS and SQL will lead programming management and analysis of commercial administrative databases registry cohorts observational studies and clinical trials. The candidate will be responsible for various data processing steps (cleaning extracting merging etc.) in SAS/SQL/R/Python environments and applying statistical methods to analyze study data with some literacy of the output and results. Additionally the candidate will assist in managing and maintaining clinical databases in prospective registry studies via webbased platforms such as REDCap and OpenClinica.

Under the guidance of their manager the candidate will process large realworld databases and extract targeted patient cohorts define exposures treatments and outcomes/endpoints and apply analytical methods (e.g. propensity score matching linear regression) to carry out statistical analysis both independently and collaboratively. The candidate will ensure the quality and accuracy of generated results with minimal quality control and proactively seek answers through selflearning and discussions with their manager.

Essential Duties & Responsibilities:

1. Process manage and analyze registry study and large claims databases.
2. Apply various statistical methods to realworld research and clinical trial studies.
3. Demonstrate knowledge of realworld evidence (RWE) databases and clinical trial data.
4. Assist in developing statistical analysis plans and outputs to support internal strategy development and external communications.
5. Manage multiple projects to meet timelines.
6. Learn subject matters and new statistical methods.
7. Design and implement macro/library codes (e.g. SAS macros).
8. Provide input into the development of programming environments.

Interaction:

This role interacts with various teams including health economics and outcomes research market access commercial operations payer and employer relations business development clinical trials data and statistical programmers biostatisticians project management IT and external vendors.

Education and Experience:

• Masters degree in health economics and outcomes research statistics mathematics psychology epidemiology computer science or related fields.
• Minimum 9 years of programming experience in SAS/SQL/R/Python with at least 35 years in the pharmaceutical industry.

Qualifications:

• Strong and advanced programming and analytical abilities in SAS/SQL/R/Python.
• Experience in data processing statistical methods application and results interpretation.
• Demonstrated experience in observational research and study design.
• Project management skills.
• Good written and oral communication skills in English.

Physical Demands:

This job involves navigating a traditional office environment with cubicles offices and conference rooms.

Work Environment:

The role will be based in Parsippany NJ with some remote work allowed.