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Parexel
Senior RWE Programmer
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What they do
A Biostatistician conducts statistical analysis of health and biology-related data. Analysis may be used for product development at a pharmaceutical company, disease research at a hospital or health policy research at a public health organization.
$108,588 / year median in the U.S.
+15% projected growth
Job Description
- 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.
- 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.
- 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.
- \#LI-REMOTEEEO Disclaimer Parexel is an equal opportunity employer.