Staff Statistician

Stryker•Greenwood Village, CO

1d•Remote

About The Position

Join Stryker’s Endoscopy division as a Staff Statistician and help shape the future of clinical evidence that advances patient care worldwide. In this role, you’ll drive the statistical strategy behind impactful studies that inform innovation, regulatory decisions, and real‑world outcomes. If you’re energized by solving complex analytical challenges and influencing cross‑functional teams, this is an opportunity to make a measurable difference.

Requirements

Bachelor’s degree or higher in statistics, biostatistics, or a related field.
Minimum 4 years of relevant experience in the medical device or pharmaceutical industry, including work involving medical res earch.

Nice To Haves

Master’s degree in statistics, biostatistics, or a related field (strongly preferred).
Experience supporting Real World Evidence studies using large datasets (e.g., Premier).
Experience with SQL or similar database query languages.
Experience working with retrospective clinical or observational studies.
Experience contributing to scientific publications (e.g., abstracts, posters, manuscripts).
Proficiency in statistical programming languages such as SAS, R, or Python.
Working knowledge of regulatory guidelines (e.g., FDA/CFR, ISO14155).

Responsibilities

Develop statistical analysis plans, including statistical methodology, derived variable definitions, data‑handling rules, and mock‑ups to support clinical and business objectives.
Analyze clinical study data and generate accurate, timely insights that inform decision‑making across project teams.
Program, test, and validate SAS code to create datasets, tables, listings, and graphs (TLGs), ensuring complete quality control of all outputs.
Design, develop, and refine statistical infrastructure, tools, and workflows that accelerate clinical trial execution and analysis.
Build and maintain tracking systems to evaluate clinical trial performance and operational efficiency.
Extract, prepare, and analyze data from large databases (e.g., Premier) to support Real World Evidence and health economics research.
Apply AI‑driven tools and techniques to improve efficiency in modeling, reporting, and data analysis processes.
Conduct literature data analyses to support clinical evaluation, post‑market follow‑up, publications, and scientific presentations.
Partner with cross‑functional stakeholders—including clinical investigators—to support protocol design, study planning, and scientific communication.
Mentor junior statisticians informally and serve as a statistical expert within project teams, identifying resource or scheduling risks and recommending solutions.