Data Scientist in Clinical Operations creating analytics and insights that enhance R&D productivity and patient centricity. Collaborating closely with stakeholders to support business needs through advanced analytics and decision support.
Responsibilities
Act as a strategic thought partner to key stakeholders
Create and implement analytics and insights for Clinical Operations
Increase sophistication and application of advanced analytics methods
Monitor and assess effectiveness of engagement efforts and projects
Apply analytical and statistical methods to answer business questions
Conduct high quality analyses and present results effectively
Requirements
Proven work experience with a Master's degree, preferably in pharmaceutical or biotech industry
Sound experience in pharmaceutical and/or healthcare industry and drug development experience
Expertise in Patient Insights, Investigator Insights, Forecasting, Competitive Intelligence, Data Analytics, Advanced Data Analytics, Resourcing, Information Visualization, and/or Data Science
Solid generative AI literacy, including integrating APIs and prompt engineering
Excellent data visualization and mock-up skills (e.g., d3, plotly, Shiny, or Streamlit)
Benefits
Access to healthcare solutions
Encouragement of personal expression and open dialogue
Support for professional development and learning opportunities
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