Senior Healthcare Analytics & Data Science Manager

Abbott; California (MO); On-site; USD 114,000 - 228,000; Full time

Benefits offered by this job

Tuition reimbursement

Free medical coverage

Retirement plan

Job summary

Abbott is seeking a Senior Business Insights Manager in Alameda, CA to lead data analytics, data science, and strategic insights for the ADC Diabetes Care division. You will guide KPI development, build predictive models, and deliver data-driven recommendations to senior leadership in a collaborative, fast-paced environment.

The role requires expertise in SQL, Python, ML, and visualization tools, with a focus on healthcare data and patient insights.

Qualifications

• Bachelor's degree in a related field or equivalent combination of education and work experience.
• 9+ years of related work experience.
• 5+ years experience in commercial or market analytics in healthcare or similar.
• Proficiency in using machine learning to solve clustering, classification, regression, etc.
• Strong hands-on experience with big data technologies (Hadoop, Spark, cloud AI).
• Experience with analytics, data management/mining, financial modeling, and market forecasting.

Responsibilities

• Develop analytics models and algorithms to drive solutions across the organization.
• Create causal inference analysis and study designs using advanced methods.
• Build dashboards and models to monitor business performance and forecast revenue.
• Communicate complex results to technical and non-technical stakeholders.
• Collaborate with commercial, marketing, and finance teams to align objectives.

Skills

Data analysis

SQL

Python

Machine learning

Data visualization

Education

Bachelor's degree in related field

MBA or MS in related field

Tools

Hadoop

Spark

AWS

Tableau

PostgreSQL

SageMaker

Job description

Abbott is seeking a Senior Business Insights Manager in Alameda, CA to lead data analytics, data science, and strategic insights for the ADC Diabetes Care division. You will guide KPI development, build predictive models, and deliver data-driven recommendations to senior leadership in a collaborative, fast-paced environment.

The role requires expertise in SQL, Python, ML, and visualization tools, with a focus on healthcare data and patient insights.