Senior Data Scientist, RBQM Analytics

Role Summary

Senior Data Scientist, RBQM Analytics at AbbVie. Works to apply advanced analytics across clinical development, driving innovation with ML and visual analytics to deliver data-driven insights for R&D. Identifies suitable ML/AI use cases and collaborators with cross-functional teams to inform decision making.

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 product is 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 federal and local regulations, GCPs, ICH guidelines, SOPs, and quality standards; stay abreast of evolving regulations and policies 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 progress of clinical trials and discuss emerging risks; apply ML techniques to validate assumptions and predict future behavior.

Qualifications

• Bachelor’s degree in statistics, analytics, bioinformatics, data science, or equivalent; Master’s degree preferred.
• 3–5 years of analytics-related experience in clinical research with strong analytics and 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.
• Effective communication skills; ability to explain analytical and technical concepts in layman’s terms.
• Strong problem-solving and analytical abilities; track record of delivering in fast-paced environments and managing multiple priorities.
• Experience with Cloud Computing environments (e.g., AWS, Azure) is preferred.

Skills

• Machine Learning
• Data Visualization
• Statistical Analysis
• Clinical Development Knowledge
• Cross-functional Collaboration

Education

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

Additional Requirements

• Hybrid role requiring onsite presence 3x/week in Lake County, IL.