- Company Name
- Pfizer
- Job Title
- Medical Analytics, Care Gaps & Customer Segmentation Team, Senior Data Scientist
- Job Description
-
Job title: Senior Data Scientist – Medical Analytics, Care Gaps & Customer Segmentation
Role Summary: Lead advanced analytics for identifying care gaps and segmenting HCPs/KOLs using real‑world data. Deliver predictive models, segmentation maps, and actionable insights to inform medical and commercial strategies.
Expectations: 8+ years of data science experience in healthcare; proven leadership, mentoring, and cross‑functional influence; strong strategic planning and communication skills; fluency in English and ability to collaborate across cultures. Must understand pharmaceutical business, clinical trials, GCP, regulation, and promotional guidance.
Key Responsibilities:
- Support Care Gaps & Segmentation Team Leader with strategic and tactical planning, and communicate insights to stakeholders.
- Mentor data scientists and engineers; foster analytical best‑practices.
- Prepare, cleanse, and maintain complex datasets; resolve data quality issues in partnership with engineering.
- Own end‑to‑end care‑gap analyses: data input identification, model development, visualization, and insight delivery.
- Develop asset‑specific predictive models, machine‑learning pipelines, probabilistic causal models, and unsupervised algorithms.
- Create HCP/KOL segmentation maps and prioritizations across dimensions such as unmet need, care gaps, and channel mix.
- Identify opportunities for new data sources, analytical tools, and capability building to enhance impact.
Required Skills:
- Advanced analytics (predictive modeling, machine learning, causal inference, unsupervised learning).
- Data engineering fundamentals (ETL, data quality, database, data pipelines).
- Statistical analysis and data visualization (Python/R, SQL, Tableau/PowerBI).
- Project management, stakeholder engagement, influence, coaching.
- In‑depth pharmaceutical domain knowledge (clinical trials, drug development, GCP, regulatory & promotional rules).
- Strong interpersonal, cross‑cultural communication, and English proficiency.
Required Education & Certifications:
- Bachelor’s degree in Data Sciences, Computer Sciences, Statistics, Clinical Informatics or equivalent; advanced qualification in Data Science.
- Master’s or PhD preferred; senior experience: 7–8+ years with Bachelor’s, 5–7+ years with PhD.
- Relevant data engineering/analytics certifications (e.g., Microsoft Certified: Azure Data Scientist Associate, AWS Certified Data Analytics, or equivalent).