Senior RWE/RWA Programmer

When our values align, there's no limit to what we can achieve. At Parexel, we all share the same goal - to improve the world's health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special - a deep conviction in what we do.Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we're committed to making a difference.Parexel is seeking a Senior Real-World Evidence (RWE) Analyst ProgrammerJoin a high-impact team as aremote Sr. Real-World Evidence Analyst Programmer, supporting innovative work acrossCanada or the Continental United States.If you are passionate about real-world data, advanced analytics, and delivering meaningful insights, we encourage you to apply.Who We Are Looking ForEffectively designs and codes R and SQL programs for assigned project(s), consistently meeting project objectivesClean andvalidateReal-World Data (RWD)to ensure consistency and reliabilityImplement programming based on RWE protocols using a variety of RWD sources, including Optum and FlatironLeverage advanced statistical and epidemiological methodologiesto deliver robust and reliable analysesCreate, review, and approve programming plansat both study and project levelsDemonstrate advanced knowledge of programming, epidemiologicalmethodologyimplementation, and system development life cycle conceptsMaintain clear documentation of analytical programming and operational definitions to support reproducible and auditable RWE studiesDevelop dashboards, reports, and presentationsto effectively communicate findingsCollaborate with study team members to meet study timelines and recurring reporting deadlinesWhat You Will DoEffectively designs and codes R and SQL programs for assigned project(s) consistently meetingobjectivesof the project.Clean and validate RWDfor consistency and reliabilityImplement programming as specified from RWE protocol using a variety of RWD from multiple sources, including Optum and FlatironLeverage advanced statistical and epidemiological methodologiesto deliver robust and reliable analysesCreate or review and approve programming plansat study and project level.Displays highly advanced knowledgeregardingprogram, epidemiology methodologies implementation and system development life cycle concepts.Maintain clear documentation of analytical programming and operational definitions to support reproducible and auditable RWE studiesDevelop dashboards, reports, and presentationsto communicate findingsWork collaboratively with members of study teams to meet study and recurring report timelinesWho You AreMS in data science, epidemiology, statistics, public health, or related disciplineAt least 7 years of experience in Real-World Data (RWD) analysis and Real-World Analytics (RWA)using healthcare claims, EMR, and/or registry databases within the biopharmaceutical industry or provider/payer organizationsIncludes strong hands-on experience with Optum and/or Flatiron dataFluency in SQL and R programming isrequiredExperience writing original codeand performing raw data analysis (not derived solely from clinical trials)Includes running analyses and/or developing code for real-world analysesKnowledge of SAS and/or Python is considered an advantageFamiliarity with US and global healthcare coding systems(e.g., ICD, CPT, HCPCS, LOINC, MedDRA)And healthcare delivery systems (e.g., payers and reimbursement models)Experience conducting routine and advanced statistical analyses for RWE generationIncluding time-to-event, cross-sectional, and longitudinal dataExperience with big data analytical platformsDeep understanding of observational study analysisAbility to work independently and contribute to scrum development goalsIn a fast-paced, flexible, team-oriented environmentStrong communicationand collaboration skillsCompetent in written and oral English.EEO Disclaimer Parexel is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to legally protected status, which in the US includes race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.Originally posted on Himalayas