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Senior SAS Programmer Analyst (TIDE) (R3687)

Harvard Pilgrim Health Care Institute

Senior SAS Programmer Analyst (TIDE) (R3687)

Boston, MA
Full Time
Paid
  • Responsibilities

    Harvard Pilgrim Health Care Institute is currently seeking a highly motivated individual to join the Division of Therapeutics Research and Infectious Disease Epidemiology (TIDE) within the Department of Population Medicine (www.populationmedicine.org) as a Senior SAS Programmer Analyst. TIDE is the home of several large, complex, multi-institutional research initiatives based within health systems using electronic health and administrative claims data that support major national public health activities. Our mission is to improve health care delivery and population health through research and education, in partnership with health plans, delivery systems, and public health agencies. The Senior SAS Programmer Analyst plays a crucial role in supporting key initiatives in TIDE’s portfolio.

    The Senior SAS Programmer Analyst will primarily support the Sentinel System (https://www.sentinelinitiative.org/), a program sponsored by the U.S. Food and Drug Administration (FDA) for monitoring the safety of FDA-regulated medical products. The Senior SAS Programmer Analyst 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. The Senior SAS Programmer Analyst also designs and develops SAS programs that are flexible, reusable, scalable, computationally efficient and easily maintainable.

     

    Job Description

    • 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!

    Requirements

    • BA/BS in public health, quantitative social sciences, economics, statistics, mathematics or related field required. MA/MS in related field (e.g., statistics, quantitative social sciences, public health, epidemiology, economics or mathematics) preferred.
    • 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., self- controlled designs, propensity score methods) a plus.
    • Resilient, collaborative, flexible, innovative.

     

    What we build together changes our customer's health for the better. We are looking for talented and innovative people to join our team. Come join us!

    Please note: As of January 18, 2022, all employees — including remote employees — must be fully vaccinated. This position will require the successful candidate to show proof of full vaccination against COVID-19. Point32Health is an equal opportunity employer, and will consider reasonable accommodation to those individuals who are unable to be vaccinated consistent with federal, state, and local law.

     

    About Point32Health

    Point32Health is a leading health and wellbeing organization, delivering an ever-better health care experience to everyone in our communities. Building on the quality, nonprofit heritage of our founding organizations, Tufts Health Plan and Harvard Pilgrim Health Care, we leverage our experience and expertise to help people find their version of healthier living through a broad range of health plans and tools that make navigating health and wellbeing easier.

    At Point32Health, we’re working to reshape the world of health care by pushing past the status quo and delivering even more to the diverse communities we serve: more innovation, more access, more support, and healthier lives. And we want people like you on our side to make it even better.

     

    This job has been posted by TalentBoost on behalf of Point32Health. TalentBoost is committed to the fundamental principle of equal opportunity and equal treatment for every prospective and current employee. It is the policy of TalentBoost not to discriminate based on race, color, national or ethnic origin, ancestry, age, religion, creed, disability, sex and gender, sexual orientation, gender identity and/or expression, military or veteran status, or any other characteristic protected under applicable federal, state or local law.

    Req ID: R3687