The Senior Manager—Statistical Programming:
This is a hands-on expert-level 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 web-based platforms such as RED Cap and Open Clinical.
Under the guidance of their manager, the candidate will process large real-world 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 self-learning 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 real-world research and clinical trial studies.
3. Demonstrate knowledge of real-world 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:
Master's 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 3-5 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.