Jobs at Parexel
Are you ready to make your mark in the healthcare industry using your ingenuity and technical expertise? At Parexel, there's no limit to what you can accomplish. We work with the top 50 global pharmaceutical companies, the top global biotech companies, and hundreds of small and emerging companies. We've supported the development of some of the most important treatments of our time, including nearly all of the 50 top selling drugs currently on the market. Join us and you'll make a profound difference in millions of lives. With a role in our Information Technology group, you'll work with cutting-edge technology on internal and client-facing projects. Collaborating with people from all over the world and touching everything from enterprise systems and clinical applications to infrastructure and networking, you'll keep our data safe and confidential. You'll have the chance to develop your skills and pursue advancement opportunities that include managerial and technical tracks. If you have stellar coding and design experience and a passion to learn more about healthcare, Parexel invites you to discover our rewarding opportunities in Enterprise Architecture, Software Development, Project Management and Business Analysis, and more. In a global clinical trial environment, business-focused applications, connectivity, and data security are critical to a trial's outcome. Find out how you can be an invaluable part of our success story.
Senior Statistical Programmer
Job ID R0000038948 Taipei, Taiwan, TaiwanKey Accountabilities:
Act as the R Statistical Programming Lead for assigned studies or projects.
Contribute to the planning and negotiation of statistical programming timelines and ensure deliverables are completed on schedule.
Coordinate and support a statistical programming team to deliver high-quality outputs within timelines and budget.
Monitor project progress, resource allocation, and identify potential scope changes.
Support project start-up activities including development of R programming frameworks, reusable scripts, and tracking tools.
Review statistical analysis plans (SAPs), mock shells, and database specifications to ensure programming feasibility.
Collaborate with sponsors and cross-functional teams on statistical programming strategies and technical issues.
Proficiency in R and ability to learn new systems and function in an evolving technical environment.
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