Plan and perform care gap advanced analytics and segment HCPs and KOLs using real world data sources as input
Support team Product Manager in strategic and tactical planning with regards to medical analyses
Collaborate with team Product manager to communicate generated insights
Provide mentorship & coaching to Data Scientists & Data Engineering
Leverage cross-team collaboration to develop analytical best-practices in care gap analyses and HCP segmentation
Proactively identify future opportunities to enhance the impact of care gap and segmentation solutions
Prepare and maintain datasets for high-complexity analytical needs
Own the end-to-end process of integrated care gaps analyses
Plan, generate and perform asset-specific care gap analyses
Create asset-specific HCP segments to guide medical activities

Degree in Data Sciences, or Computer Sciences, Statistics, Clinical Informatics or similar, with advanced qualification in Data Science
Relevant certification &/or work experience in data engineering
Experience (8+ years with Bachelors; 7+ with Masters; 5+ with PHD) in data sciences, notably in the healthcare sector
Demonstrated ability to independently lead projects & support professional growth of colleagues
Strong interpersonal skills to quickly build rapport and credibility with Pfizer leaders and key external stakeholders
Effective English verbal and written communication

401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution
Paid vacation, holiday and personal days
Paid caregiver/parental and medical leave
Health benefits to include medical, prescription drug, dental and vision coverage

Senior Data Scientist, Medical Analytics, Care Gaps, Customer Segmentation

Key skills