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.

Responsibilities:
- 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, AbbVie SOPs, and functional quality standards.
- Identify business needs and support creation of standard KPIs, reports, and statistical analyses.

Qualifications:
- 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.

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

Application instructions:
- None stated.