Senior RWE/RWA Programmer

ParexelParexel·Remote(United States)
Other

WFA Digital Insight

The demand for real-world evidence specialists is on the rise, with the global market expected to grow significantly in the next few years. As companies like Parexel lead the charge in improving global health, professionals with expertise in RWE and advanced analytics are in high demand. With remote work becoming the norm, talented individuals can now contribute to meaningful projects from anywhere. Parexel stands out for its commitment to making a difference in patients' lives, and this role offers a unique opportunity to be part of a high-impact team. Before applying, candidates should be prepared to showcase their technical skills, passion for real-world data, and ability to work independently in a fast-paced environment.

Job Description

About the Role

The Senior RWE/RWA Programmer role at Parexel is a unique opportunity to join a high-impact team that supports innovative work across the United States. As a seasoned professional in real-world evidence and advanced analytics, you will play a crucial role in designing and coding R and SQL programs for assigned projects, ensuring the delivery of robust and reliable analyses. Your work will have a direct impact on the development of therapies that ultimately benefit patients.

Day-to-day, you will be responsible for cleaning and validating real-world data, implementing programming based on RWE protocols, and leveraging advanced statistical and epidemiological methodologies. You will work closely with study team members to meet study timelines and recurring reporting deadlines, ensuring that your work is of the highest quality and contributes to the success of the team.

What You Will Do

  • Design and code R and SQL programs for assigned projects, consistently meeting project objectives
  • Clean and validate real-world data 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
  • Develop dashboards, reports, and presentations to effectively communicate findings
  • Collaborate with study team members to meet study timelines and recurring reporting deadlines
  • Maintain clear documentation of analytical programming and operational definitions to support reproducible and auditable RWE studies
  • Stay up-to-date with industry trends and advancements in real-world evidence and advanced analytics

What We Are Looking For

  • MS in data science, epidemiology, statistics, public health, or a related discipline
  • At least 7 years of experience in real-world data analysis and real-world analytics using healthcare claims, EMR, and/or registry databases within the biopharmaceutical industry or provider/payer organizations
  • Strong hands-on experience with Optum and/or Flatiron data
  • Fluency in SQL and R programming
  • Experience writing original code and performing raw data analysis
  • Knowledge of SAS and/or Python is considered an advantage
  • Familiarity with US and global healthcare coding systems
  • Experience conducting routine and advanced statistical analyses for RWE generation

Nice to Have

  • Experience with big data analytical platforms
  • Knowledge of observational study analysis
  • Ability to work independently and contribute to scrum development goals in a fast-paced, team-oriented environment
  • Strong communication and interpersonal skills
  • Experience with cloud-based data platforms

Benefits and Perks

  • Competitive salary and benefits package
  • Opportunity to work with a leading company in the biopharmaceutical industry
  • Remote work options with a flexible schedule
  • Professional development opportunities to enhance your skills and knowledge
  • Access to cutting-edge technology and tools
  • Collaborative and dynamic work environment
  • Recognition and reward for outstanding performance

How to Stand Out

  • Develop a strong portfolio that showcases your experience with real-world data and advanced analytics
  • Stay up-to-date with industry trends and advancements in RWE and analytics
  • Highlight your ability to work independently and collaboratively in a fast-paced environment
  • Be prepared to discuss your experience with Optum and Flatiron data, as well as your proficiency in SQL and R programming
  • Showcase your understanding of observational study analysis and your ability to communicate complex findings effectively
  • Consider highlighting any experience with big data analytical platforms or cloud-based data platforms
  • Prepare to discuss your salary expectations and be ready to negotiate based on your experience and qualifications

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