Data Scientist, RBQM Analytics - HYBRID

Risk Based Quality Management (RBQM) Analytics Data Scientist role enabling application of advanced analytics techniques across the clinical development continuum. Drives analytics innovation and experimentation to deliver data-driven insights for complex business problems across R&D by deploying Machine Learning and Visual Analytics.

• Collaborate with cross-functional teams to deliver fit-for-purpose analytics solutions for assigned projects.
• Ensure analytical work products are consistent across projects and optimize user experience per team design principles/standards.
• Use proven statistical methodologies; experiment with and recommend additional techniques to address business problems.
• Enable data-driven insights to support assigned projects.
• Participate in functional innovation and process improvement initiatives (if assigned).
• Ensure adherence to federal/local regulations, GCPs, ICH guidelines, Abb Vie SOPs, and functional quality standards.
• Identify business needs and support creation of standard KPIs, reports, and statistical analyses.

• Bachelor’s degree in statistics/analytics/bioinformatics/data science or equivalent;
  Master’s preferred.
• 2–3 years of data science and analytics-related experience.
• Proficiency in R, Python, SQL, or other statistical packages; intermediate knowledge of statistical and data mining techniques.
• Intermediate proficiency with visualization tools (Spotfire, Tableau, Microstrategy, or equivalent).
• Machine Learning and advanced analytics experience preferred.
• Effective communication skills; ability to explain technical/analytical concepts in layman’s terms.
• Strong problem-solving and analytical skills.
• Proven execution in fast-paced environments; ability to manage multiple priorities.

• Paid time off (vacation, holidays, sick), medical/dental/vision insurance, 401(k) (eligible employees).

• None stated.