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) Analyst Programmer
Join a high-impact team as a remote Sr. Real-World Evidence Analyst Programmer,
supporting innovative work across 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
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.
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 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.
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.
Skills Required
- MS in data science, epidemiology, statistics, public health, or related discipline
- At least 7 years of experience in RWD analysis and RWA using claims, EMR, and/or registry databases
- Hands-on experience with Optum and/or Flatiron data
- Fluency in SQL and R programming
- Experience writing original code and performing raw data analysis (not solely clinical trials)
- Familiarity with US and global healthcare coding systems (ICD, CPT, HCPCS, LOINC, MedDRA)
- Experience conducting routine and advanced statistical analyses for RWE (time-to-event, cross-sectional, longitudinal)
- Experience with big data analytical platforms
- Deep understanding of observational study analysis and epidemiological methodology implementation
- Ability to work independently and contribute to scrum development goals
- Strong communication and collaboration skills; competent in written and oral English
- Knowledge of SAS and/or Python
Parexel Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Parexel and has not been reviewed or approved by Parexel.
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Healthcare Strength — Health coverage is described as comprehensive, including medical, dental, vision, HSA/FSA options, and company-paid disability insurance. Descriptions often portray the package as strong or “top notch,” adding meaningful value.
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Retirement Support — Retirement offerings include a 401(k) with company matching and, in some regions, generous pension contributions. Core financial protections are emphasized as a solid part of the total rewards.
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Leave & Time Off Breadth — Time-off programs include ample PTO or flexible/unlimited RTO alongside flexible schedules and remote/hybrid options. Work-life balance support from managers is highlighted as a practical advantage.
Parexel Insights
What We Do
Parexel is among the world’s largest clinical research organizations (CROs), providing the full range of Phase I to IV clinical development services to help life-saving treatments reach patients faster. Leveraging the breadth of our clinical, regulatory and therapeutic expertise, our team of more than 21,000 global professionals collaborates with biopharmaceutical leaders, emerging innovators and sites to design and deliver clinical trials with patients in mind, increasing access and participation to make clinical research a care option for anyone, anywhere. Our depth of industry knowledge and strong track record gained over the past 40 years is moving the industry forward and advancing clinical research in healthcare’s most complex areas, while our innovation ecosystem offers the best solutions to make every phase of the clinical trial process more efficient. With the people, insight and focus on operational excellence, we work With HeartTM every day to treat patients with dignity and continuously learn from their experiences, so every trial makes a difference. For more information, visit parexel.com. Community Guidelines Because Parexel’s social media channels are open to the general public and employees, we are not responsible for views expressed other than our own. However, we do not tolerate posts that are: • Abusive, harassing or threatening to others. • Defamatory, offensive, obscene, vulgar or depicting violence. • Hateful targeting by race/ethnicity, age, color, creed, religion, gender, sexual preference or orientation, nationality or political beliefs. • Sexually explicit or pornographic. • Fraudulent, deceptive, libelous, misleading or unlawful. • Referencing criminal or illegal activity. • Spamming. We reserve the right to remove any comments that do not adhere to our guidelines as well as report users who violate the rules of our page.








