Senior Data Scientist, RBQM Analytics

Role Summary

Senior Data Scientist, RBQM Analytics – a role focused on applying advanced analytics across clinical development processes to enable data-driven insights and innovation in R&D. Leverages machine learning, visual analytics, and emerging methodologies to identify use cases for ML/AI and to support precision medicine initiatives.

Responsibilities

• Connect with cross-functional teams to design work product and act as an analytics consultant; anticipate issues affecting timelines or quality and develop options and solutions.
• Lead and help establish design principles and standards to ensure analytical work products are consistent across projects and user experience is optimized.
• Develop prototypes, test methods, and algorithms beyond standard statistical methods; leverage emerging statistical methodologies, ML, and AI to create innovative analytical solutions.
• Enable data-driven insights to support clinical development, including precision medicine.
• Ensure adherence to applicable regulations and quality standards; stay abreast of evolving local regulations and guidelines related to clinical development.
• Identify business needs and support the creation of standard KPIs, reports, and statistical analyses.
• Coach and mentor junior team members.
• Collaborate with cross-functional teams as an analytics consultant to evaluate clinical trial progress and discuss emerging risks; apply machine learning to validate assumptions and predict future behavior.

Qualifications

• Bachelor’s degree in statistics, analytics, bioinformatics, data science or equivalent 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 like Spotfire, Tableau or equivalent.
• Proven expertise with Machine Learning and other advanced analytics techniques.
• Strong communication skills; ability to explain analytical concepts in layman’s terms.
• Strong problem-solving and analytical skills; track record of delivering in fast-paced environments with multiple priorities.
• Experience with Cloud Computing environments (e.g., AWS, Azure) is preferred.

Skills

• Machine Learning and AI techniques
• Data visualization (Spotfire, Tableau or equivalents)
• Statistical analysis and data mining
• Cross-functional collaboration and analytics consulting
• Clear communication of technical concepts

Education

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