Clinical Data Analyst

Education & Experience

Bachelor's degree in Data Science, Statistics, Computer Science, Life Sciences, Public Health, or a related field. Master's degree preferred.

• 5 years experience in Biotech/Pharmaceutical industry with knowledge of the pharmaceutical/biotech clinical development process
• 7 years experience in Analytics or Statistics (5 years of experience with a Masters degree)
• 3 years of experience in RBQM / RBM processes, including awareness of industry strategy and direction, knowledge and understanding of ICH E8 and ICH E6 requirements
• Strong proven experience using data driven methods to analyze and solve business situations, strong critical thinking and analytical skills and aptitude for data analytics including mathematical and statistical concepts
• Strong systems awareness including good knowledge of data pipelines, models and systems along with strong cross-functional inputs and dependencies contributing to end to end RBQM delivery

Technical Skills

Proficient in data analysis tools (e.g., R, Python, JMP) for manipulating, analyzing large datasets, creating visualizations, and applying statistical methods (hypothesis testing, regression analysis, data modeling) to analyze clinical trial data

• Proficient in data visualization tools (e.g., Tableau, Spotfire)
• Experience and understanding of clinical trial data from various sources (e.g. Veeva, RAVE, IRT, SDTM, clinical devices, etc)
• Clinical Data Scientist with Pharma/Biotech industry experience in clinical development process, clinical data, clinical trial - MUST HAVE
• Strong experience in statistical Date and Statistical methods:(hypothesis testing, regression analysis, data modeling) to analyze clinical trial data - MUST HAVE
• Proficiency in "R" programming - MUST have
• Python experience is a Plus
• Data Visualization experience in Tableau or Spotfire
• Good understanding of clinical trial data from various sources like: (e.g. Veeva, RAVE, IRT, SDTM)