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

Role Summary

Plan and perform care gap advanced analytics and segment HCPs and KOLs using real world data sources as input.

Responsibilities

• Strategic support and communications: Support Care Gaps & Segmentation Team Leader in strategic and tactical planning with regards to medical analyses; Collaborate with Team Leader to communicate generated insights; Provide mentorship & coaching to Data Scientists & Data Engineering; Leverage cross-team collaboration to develop and disseminate analytical best-practices in care gap analyses and HCP segmentation; Proactively identify future opportunities to enhance impact and adoption of care gap and segmentation solutions.
• Planning and conducting medical analyses: Prepare and maintain datasets for high-complexity analytical needs in collaboration with data engineers; Own end-to-end process of integrated care gaps analyses including data input identification and visualization/insight generation; Plan, generate and perform asset-specific care gap analyses using advanced techniques; Create asset-specific HCP segments, maps, and prioritizations to guide channel mix/activation, content creation, and MSL activity in Anchor countries.

Qualifications

• Demonstrated leadership and the ability to influence and coach others, oversee and guide team work to achieve outcomes and business impact.
• Degree in Data Sciences, Computer Sciences, Statistics, Clinical Informatics or similar, with advanced qualification in Data Science.
• Relevant certification and/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.
• Ability to independently lead projects and support professional growth of colleagues.
• Experience working in a cross-functional business environment; proven influencing skills.
• Strong interpersonal skills to build rapport with Pfizer leaders and external stakeholders; ability to partner cross culturally/regionally.
• Effective English verbal and written communication suitable for scientific/technical, regulatory, and business contexts.
• In-depth understanding of the business of pharmaceutical medicine including clinical trial design, GCP and data interpretation, drug development, regulatory and promotional rules, and compliance considerations.

Education

• Degree in Data Sciences, Computer Sciences, Statistics, Clinical Informatics or similar; advanced qualification in Data Science.

Skills

• Anticipates Customer and Market Needs: knowledge of industry trends and stakeholder relationships; prioritizes patient safety and builds trust.
• Acts Decisively: makes timely decisions with business and financial acumen; drives results.
• Builds Change-Agile Organizations: teams that adapt to change and operate effectively amidst transitions.
• Designs and leads flexible, adaptive teams; strategic and innovative thinking to develop new approaches.
• Grows Leaders: coaches and develops talent; builds leadership bench strength.
• Role model of Pfizer’s values and behaviors; demonstrates ability to drive transformational change and engage diverse stakeholders; understands technology applications in Life Sciences.

Additional Requirements

• None beyond those listed in the Qualifications and Skills sections.