Parexel is seeking a Senior Real-World Evidence, RWE Programmer

Join a high-impact team as a remote Sr. Real-World Evidence Programmer, 
supporting innovative work. You can work remotely out of Canada 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 For

• Effectively designs and codes R and SQL programs
  for assigned project(s), consistently meeting project objectives 

• Expert Coder: The ideal candidate spends most of their time hands-on coding versus project management or oversight responsibilities, has hands-on experience with raw RWE data including both claims data and Flatiron EHR and can write SQL code from scratch.

• Advanced SQL Programming experience within the Real-World Data (RWD) domain is required.

• Hands-on experience developing and managing data solutions in the Snowflake platform required.

• 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 

What You Will Do

• Effectively designs and codes R and SQL programs for assigned project(s)
  consistently meeting objectives of the project. 

• Daily work % estimates: Coding (80%-90% of their daily work) + copying and pasting the numbers into the excel table shells (5%-20%)

• Clean and validate RWD
  for consistency and reliability 

• Implement programming as specified from RWE protocol
  using a variety of RWD from multiple sources, including Optum and Flatiron 

• Leverage advanced statistical and epidemiological methodologies
  to deliver robust and reliable analyses 

• Create or review and approve programming plans
  at study and project level. 

• Displays highly advanced knowledge regarding program, epidemiology methodologies 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 communicate findings 

• Work collaboratively with members of study teams
  to meet study and recurring report timelines 

Who You Are

• MS in data science, epidemiology, statistics, public health, or related discipline

• At least 2-3 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.

• Hands-on experience with Flatiron data required; experience with Optum may be considered

• 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.