Senior Data Scientist, RBQM Analytics

Role Summary

The Senior Data Scientist role enables the application of advanced analytics techniques across clinical development processes. It drives analytics innovation and experimentation to deliver data-driven insights for complex R&D problems by deploying methods such as machine learning and visual analytics, and identifies use cases appropriate for ML and AI.

Responsibilities

• Connects with cross-functional teams to design work product and acts as an analytics consultant, identifying issues that could affect timelines or quality and developing options and solutions
• Leads and helps establish design principles and standards to ensure analytical work product is consistent across projects and user experience is optimized
• Develops prototypes, test methods, and algorithms beyond standard statistical methods; leverages emerging statistical methodologies, ML and AI to create innovative analytical solutions
• Enables data-driven insights to support clinical development, including precision medicine
• Ensures adherence to federal and local regulations, GCPs, ICH Guidelines, SOPs, and quality standards; stays current with evolving regulations and policies
• Identifies business needs and supports the creation of standard KPIs, reports, and statistical analyses
• Coaches and mentors junior team members
• Collaborates with cross-functional teams to strategize how analytics can evaluate clinical trial progress and discuss emerging risks; applies ML to validate assumptions and predict future behavior

Qualifications

• Bachelor’s degree in statistics, analytics, bioinformatics, data science or related field; Master’s degree preferred
• 3–5 years of analytics-related experience in clinical research with demonstrated leadership competencies
• Advanced proficiency in R, Python or other statistical packages; intermediate knowledge of statistical and data mining techniques
• Expert proficiency with visualization tools such as Spotfire, Tableau or equivalent
• Proven expertise with Machine Learning and other advanced analytics techniques
• Effective communication skills; ability to convey analytical and technical concepts in layman’s terms
• Strong problem-solving and analytical skills
• Proven track record of successful execution in a fast-paced environment with multiple priorities
• Experience with cloud computing environments (e.g., AWS, Azure) is preferred

Education

• Bachelor’s degree in statistics, analytics, bioinformatics, data science or equivalent field; Master’s degree preferred

Skills

• Machine Learning and AI techniques
• Statistical analysis and data mining
• Programming in R, Python or similar
• Data visualization (Spotfire, Tableau or equivalent)
• Communication and cross-functional collaboration
• Problem-solving and analytical thinking
• Cloud computing familiarity (AWS, Azure)