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 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.
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.
| Location | New Jersey |