Statistical Data Analyst Lead

5 days ago

Manila, National Capital Region, Philippines Dexcom Full time

About Us

Dexcom is a pioneering leader in continuous glucose monitoring. We've been driven by a passion for improving human health, empowering people to take control of their well-being.

Our mission has evolved over the years, but our focus remains on developing innovative solutions that address serious health challenges. We're committed to delivering exceptional products and services that make a real difference in people's lives.

Job Summary:

This role involves designing, developing, and evaluating technical infrastructure to expedite clinical trials and basic research. The successful candidate will perform statistical analysis, develop tracking systems, and maintain expertise in data manipulation and statistical analyses.

Your Key Responsibilities:

  1. Generate statistical programming for clinical trials, including data validations, statistical analysis, and report generation.
  2. Oversee programming activities with external vendors.
  3. Contribute to developing CRF, database, data validation plan, and specifications of analysis datasets.
  4. Review eCRF annotations and data specifications to inform analysis needs.
  5. Verify consistency and adequacy of eCRF and database for analysis requirements.
  6. Support the Data Management Team with data validation plans or data management plans.
  7. Write or review analysis programs according to protocols or Statistical Analysis Plans (SAPs).
  8. Develop efficient design and code SAS programs using BASE/SAS, SAS/STAT, SAS/GRAPH, SAS/ETS, SAS/IML, and SAS MACROS.
  9. Establish and monitor data transfer specifications across different environments for ongoing trials.
  10. Participate in operations meetings, address issues, and represent the biostatistics team at cross-functional meetings and regulatory agencies.

Your Qualifications:

  1. A minimum of 5 years of experience in statistical programming in clinical environments and the biomedical industry.
  2. Proficiency in template utilities like SQL, and SAS tools such as SAS Advance, SAS Macro, and SAS SQL.
  3. Data conversion knowledge and skills to/from various formats like XML, CSV, Excel, and SAS.
  4. Valued skills include R, Python, MatLab, or other computer languages.

Benefits:

  1. A front-row seat to life-changing CGM technology.
  2. A comprehensive benefits program.
  3. Growth opportunities on a global scale.
  4. Access to career development through in-house learning programs and/or qualified tuition reimbursement.
  5. An exciting and innovative organization committed to employees, customers, and communities.

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