Sr. SAS Programmer Analyst
Boston, MA 02215
The Senior SAS Programmer is responsible for managing, coordinating and performing analytic programming-related activities for pharmacoepidemiologic studies and determines appropriate analytic design approaches to surveillance and research projects. S/he also designs and develops SAS programs that are flexible, reusable, scalable, computationally efficient and easily maintainable.
WHAT YOU WILL BE DOING
Design, code, test and execute SAS programs using administrative healthcare data in a distributed data network environment.
Manage, perform and document quality control (QC) testing of SAS programs, in accordance with internal standard operating procedures (SOPs) and guidelines.
Lead analytic and statistical programming activities in the production of analysis datasets and custom analytics and in support of the Sentinel rapid query system.
Collaborate with investigators from external institutions on the review, design, specification and/or implementation of study protocols and analysis plans. Support the training and mentoring of junior programmers.
Use good judgment and practice in working with highly confidential information. Follow all applicable privacy and confidentiality procedures in daily work.
Perform out-of-the-box thinking, collaborate with others, and make a difference every day!
Other duties and projects as assigned.
WHAT YOU NEED
MA/MS in related field (e.G., statistics, quantitative social sciences, public health, epidemiology, economics or mathematics). Minimum 5 years of SAS programming experience, including experience as a senior level SAS developer in a healthcare-related setting. Extensive SAS macro development experience, including but not limited to the development of applications/systems that are exclusively macro- and table/data-driven. SAS hash object programming experience, including but not limited to its use in table merging/joining and look-up techniques.
Experience writing and reviewing functional and technical programming specifications.
Experience analyzing large administrative healthcare data a must (Medicare/Medicaid, other
claims-based or electronic medical records databases). Experience with medical coding systems
(e.G., NDC, ICD-9, HCPCS/CPT, SNOMED CT, LOINC), basic medical terminology, and
epidemiologic principles a must.
Experience with testing and implementing programming efficiency techniques with respect to
optimization in the following areas: CPU time, real time, data storage, I/O and memory a plus.
Experience with other analysis software packages (e.G., R, SQL, Stata, etc.) or other
programming languages (Python, Java, VB/VBA) a plus. Experience implementing study designs
and statistical methods that address bias and confounding in observational data (e.G., selfcontrolled
designs, propensity score methods) a plus.
Resilient, collaborative, flexible, innovative.
Meet Your Recruiter
Information Technology, Manager
Caroline was born and raised in Boston and enjoys working with IT professionals both locally and nationally.
Fun Fact: When she's not working, Caroline enjoys Netflix binging and spending time with her Pug.