Senior Data Scientist, RBQM Analytics

Purpose

Senior Data Scientist role enabling application of advanced analytics across the clinical development continuum, driving analytics innovation and experimentation to deliver data-driven insights for complex R&D business problems using Machine Learning and Visual Analytics.

• Collaborate with cross-functional teams as an analytics consultant; identify issues affecting timelines/quality and develop options and solutions.
• Establish design principles/standards so analytical work products are consistent across projects and optimize user experience.
• Develop prototypes, test methods, and algorithms; leverage emerging statistical methods, ML, and AI to build innovative analytical solutions.
• Enable data-driven insights to support the clinical development continuum, including precision medicine.
• Ensure adherence to federal/local regulations, GCPs, ICH Guidelines, Abb Vie SOPs, and functional quality standards; stay current on evolving clinical development regulations/guidelines.
• Identify business needs and support creation of standard KPIs, reports, and statistical analyses.
• Coach and mentor junior team members.
• Work with cross-functional teams to strategize how analytics evaluate clinical trial progress and emerging risks; apply ML to validate assumptions and predict future behavior.

• Bachelor’s degree in statistics, analytics, bioinformatics, data science or equivalent;
  Master’s preferred.
• 3–5 years analytics-related experience in clinical research with leadership/analytics competencies.
• Advanced proficiency in R, Python, SQL (or other statistical packages); intermediate knowledge of statistical and data mining techniques.
• Expert proficiency with visualization tools (Spotfire, Tableau, Microstrategy or equivalent).
• Proven expertise with ML and advanced analytics techniques.
• Strong communication; can explain technical/analytical concepts in lay terms.
• Demonstrated problem-solving/analytical skills; successful execution in fast-paced environments and managing multiple priorities.
• Cloud computing experience (AWS, Azure, etc.) preferred.

• Paid time off (vacation, holidays, sick), medical/dental/vision insurance, and 401(k) for eligible employees.
• Eligible for long-term incentive programs.