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.
