Senior RWE/RWA Programmer

Software EngineerSoftware EngineerFull TimeRemoteSeniorTeam 10,001+Since 1983H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

1 day ago

Salary

0

Seniority

Senior

Postgraduate Degree7 yrs expEnglishPythonSQL

Job Description

Senior RWE/RWA Programmer

Parexel

• Effectively designs and codes R and SQL programs for assigned project(s), consistently meeting project objectives • Clean and validate Real-World Data (RWD) to ensure consistency and reliability • Implement programming based on RWE protocols using a variety of RWD sources, including Optum and Flatiron • Leverage advanced statistical and epidemiological methodologies to deliver robust and reliable analyses • Create, review, and approve programming plans at both study and project levels • Demonstrate advanced knowledge of programming, epidemiological methodology implementation, and system development life cycle concepts • Maintain clear documentation of analytical programming and operational definitions to support reproducible and auditable RWE studies • Develop dashboards, reports, and presentations to effectively communicate findings • Collaborate with study team members to meet study timelines and recurring reporting deadlines

Job Requirements

  • MS in data science, epidemiology, statistics, public health, or related discipline
  • At 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 organizations
  • Includes strong hands-on experience with Optum and/or Flatiron data
  • Fluency in SQL and R programming is required
  • Experience writing original code and performing raw data analysis (not derived solely from clinical trials)
  • Includes running analyses and/or developing code for real-world analyses
  • Knowledge of SAS and/or Python is considered an advantage
  • Familiarity 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 generation Including time-to-event, cross-sectional, and longitudinal data
  • Experience with big data analytical platforms
  • Deep understanding of observational study analysis
  • Ability to work independently and contribute to scrum development goals In a fast-paced, flexible, team-oriented environment
  • Strong communication and collaboration skills
  • Competent in written and oral English.

Benefits

  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off
  • Professional development opportunities

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