Sr Data Scientist

The Company

Dexcom Corporation (NASDAQ DXCM) is a pioneer and global leader in continuous glucose monitoring (CGM). Dexcom began as a small company with a big dream: To forever change how diabetes is managed. To unlock information and insights that drive better health outcomes. Here we are 25 years later, having pioneered an industry. And we're just getting started. We are broadening our vision beyond diabetes to empower people to take control of health. That means personalized, actionable insights aimed at solving important health challenges. To continue what we've started: Improving human health.

We are driven by thousands of ambitious, passionate people worldwide who are willing to fight like warriors to earn the trust of our customers by listening, serving with integrity, thinking big, and being dependable. We've already changed millions of lives and we're ready to change millions more. Our future ambition is to become a leading consumer health technology company while continuing to develop solutions for serious health conditions. We'll get there by constantly reinventing unique biosensing-technology experiences. Though we've come a long way from our small company days, our dreams are bigger than ever. The opportunity to improve health on a global scale stands before us.

Meet the team:

The Sr Data Scientist will work with an incredible team of Biostatisticians, Data Scientists, Statistical Programmers, Clinical Data Managers, and Medical Writers. We have a fast-paced environment and are looking for dynamic people that want to work on an amazing life-changing technology.

Where you come in:

• Organize and merge data from multiple sources, and run data quality assurance checks.
• Identify the bottlenecks of data processing and analysis, propose and implement solutions such as automating data pipelines and optimizing database queries.
• Coordinate with clinical associates, biostatisticians, data scientists and engineers to ensure the accuracy and efficiency of the data collection and data entry processes.
• Perform statistical analysis, data visualization and interpretation using best practices and statistical methods for clinical studies, real-world data and other projects.
• Prepare summary statistics, tables, figures and listings for reports, presentations and publications.
• Perform other responsibilities as assigned and requested.

What makes you successful:

• Solid knowledge in statistical methods with strong data processing, analysis, visualization and reporting skills.
• Proficiency in SQL and programming with R or Python is required, and experience with SAS is a plus.
• Familiarity and experience with Google Cloud Platform (BigQuery, Storage, Compute Engine) will be highly valued.
• Ability to think …