Senior Data Scientist, Medical Analytics & HCP Segmentation

Pfizer Inc; United States; A distancia; USD 163.000 - 272.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Relocation assistance may be available

Bonus target of 20% of base salary

Descripción de la vacante

Pfizer is seeking a senior data science leader to plan and perform care gap analytics and segment HCPs/KOLs using real-world data. The role includes strategic support, mentoring Data Scientists and Engineers, and cross-team collaboration to disseminate analytics best practices.

You will own end-to-end care gaps analyses, plan data inputs (e.g., claims data), and generate insights through advanced modeling, segmentation, and visualization to guide Medical Affairs activities across Anchor

Formación

• Breadth of leadership experiences including influencing and coaching others.
• Degree in Data Sciences, Computer Sciences, Statistics, Clinical Informatics or similar with advanced qualification in Data Science.
• Relevant certification or work experience in data engineering.
• 8+ years in data sciences (8+ with Bachelors; 7+ with Masters; 5+ with PhD) in healthcare.
• Proven ability to independently lead projects and collaborate cross-functionally.

Responsabilidades

• Support strategic and tactical planning for medical analyses.
• Mentor and coach Data Scientists and Data Engineers.
• Develop and disseminate analytical best-practices for care gap analyses and HCP segmentation.
• Identify opportunities to enhance care gap and segmentation solutions across regions.

Conocimientos

Leadership experience

Cross-functional collaboration

Mentoring

Data science in healthcare

Educación

Data Science degree

Advanced qualification in Data Science

Herramientas

Data engineering certification

Descripción del empleo

Pfizer is seeking a senior data science leader to plan and perform care gap analytics and segment HCPs/KOLs using real-world data. The role includes strategic support, mentoring Data Scientists and Engineers, and cross-team collaboration to disseminate analytics best practices.

You will own end-to-end care gaps analyses, plan data inputs (e.g., claims data), and generate insights through advanced modeling, segmentation, and visualization to guide Medical Affairs activities across Anchor