Data Scientist, Risk Based Quality Management Analytics
About The Position
The Data Scientist is part of AbbVie’s Risk Based Quality Management (RBQM) Analytics team, a group of data scientists and data engineers with business, scientific, and machine learning expertise. The team uses AbbVie’s data assets to support decision-making through fit-for-purpose technology, data, and insights solutions. This role enables advanced analytics across the clinical development continuum and drives analytics innovation and experimentation to produce data-driven insights for complex R&D business problems. The Data Scientist collaborates with cross-functional teams, applies established statistical methodologies, and explores additional techniques such as machine learning and visual analytics where appropriate. The position also supports business needs through standard KPIs, reports, and statistical analyses, while ensuring analytical work meets applicable regulatory, clinical practice, company, and functional quality standards. Travel is required approximately 5% of the time.
Requirements
- Bachelor’s degree in statistics, analytics, bioinformatics, data science, or an equivalent field.
- 2–3 years of data science and analytics-related experience.
- Complete or full/career proficiency in R, Python, SQL, or other statistical packages.
- Intermediate-level knowledge of statistical and data mining techniques.
- Intermediate proficiency with visualization tools such as Spotfire, Tableau, MicroStrategy, or equivalent.
- Demonstrated effective communication skills, including the ability to explain analytical and technical concepts in layman’s terms.
- Demonstrated problem-solving and analytical skills.
- Demonstrated successful execution in a fast-paced environment and effective management of multiple priorities.
Nice To Haves
- Master’s degree.
- Experience with machine learning and other advanced analytics techniques.
Responsibilities
- Work with cross-functional teams on assigned projects to enable fit-for-purpose analytics solutions.
- Help ensure analytical work products are consistent across projects where appropriate, optimize user experience, and follow the team’s design principles and standards.
- Apply proven statistical methodologies and team-established standards; experiment with and recommend additional techniques to solve business problems.
- Enable data-driven insights in support of assigned projects.
- Participate in functional innovation and process improvement initiatives when assigned.
- Ensure adherence to federal and applicable local regulations, Good Clinical Practices (GCPs), ICH Guidelines, AbbVie Standard Operating Procedures (SOPs), and functional quality standards.
- Identify business needs and support the creation of standard KPIs, reports, and statistical analyses.
Benefits
- Paid time off, including vacation, holidays, and sick leave.
- Medical, dental, and vision insurance for eligible employees.
- 401(k) for eligible employees.
- Eligibility to participate in short-term incentive programs.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
