Associate Director, Oncology Brand Analytics & AI

MSD

United Kingdom

Hybrid

GBP 120,000 - 180,000

Full time

14 days+

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Job summary

MSD in the United Kingdom seeks an Associate Director to lead Brand Strategy Analytics for Oncology within Digital Human Health. You will steer a team delivering strategic data insights across inline and pipeline assets, partnering with commercial leaders to translate priorities into actionable analytics that drive decision-making and business impact.

The role requires deep Oncology knowledge, strong leadership, and expertise with real‑world data, claims, EMR, and biomarker datasets.

Qualifications

  • 8+ years in pharma/biotech analytics and strategy with oncology experience.
  • 4+ years leading teams; ability to coach talent and lead cross-functional pods.
  • Strong ability to translate brand strategies into actionable analytics plans.

Responsibilities

  • Oncology portfolio analytics for inline and pipeline support, with business-case development.
  • Translate brand needs into analytics plans and communicate insights to stakeholders.
  • Lead 15+ team members; orchestrate cross-functional pods and ensure resource optimization.
  • Drive proactive collaboration with BU leads and regional/global partners.
  • Perform patient journey and real-world data analytics to inform decisions.
  • Apply ML/AI modeling and GenAI experiments to enhance analytics capability.

Skills

Brand Strategy
Analytics Leadership
Oncology
Real-World Data
GenAI / AI

Education

Masters in Data Science
MBA preferred

Tools

SQL
Python
Snowflake
Databricks
AWS/GCP

Job description

MSD in the United Kingdom seeks an Associate Director to lead Brand Strategy Analytics for Oncology within Digital Human Health. You will steer a team delivering strategic data insights across inline and pipeline assets, partnering with commercial leaders to translate priorities into actionable analytics that drive decision-making and business impact.

The role requires deep Oncology knowledge, strong leadership, and expertise with real‑world data, claims, EMR, and biomarker datasets.

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