Senior Oncology Data Analytics Lead

Precision AQ; United States; À distance; USD 90 000 - 130 000; Plein temps

Résumé du poste

Precision Medicine Group is seeking a Senior Data Analyst to lead analytics around oncology patient journeys, line of therapy, and structured claims data. You will transform large datasets into actionable insights for HEOR, market access, and client strategies, delivering dashboards and presentations.

The role requires 5+ years in analytics, strong SQL, Python, Excel, PowerPoint, and experience with DRG/Symphony/IQVIA/McKesson datasets, plus familiarity with LoT frameworks and RWE sources.

Qualifications

• Minimum 5 years of experience, with at least 3 years in analytics roles.
• Bachelor’s or Master’s degree in a related field (CS, Life Sciences, Data Science, Statistics).
• Experience with structured datasets (DRG, Symphony, IQVIA, McKesson).

Responsabilités

• Lead analytics projects focused on patient-journey and LoT mapping, Brand analytics.
• Analyze structured claims and patient datasets (DRG, IQVIA, McKesson).
• Conduct exploratory data analysis to assess treatment patterns, pathways and utilization.
• Support HEOR/HCRU analyses including prevalence, burden, incidence and cost-of-illness studies.
• Develop and present client-facing insights using dashboards, PowerPoint and visual analytics.
• Build and optimise SQL queries, pipelines; use Excel and Python for automation and analysis.
• Collaborate with HEOR, market-access, strategy and engineering teams; gather requirements and articulate approach with stakeholders.
• Ensure data integrity, governance, documentation and reproducibility.
• Independently manage workload, communicate progress and drive project delivery.

Connaissances

SQL

Python

Excel

PowerPoint

Formation

Bachelor’s/Master’s in Computer Science, Electronics, Pharmacy, Life Sciences, Data Science, Statistics or related field

Outils

DRG

Symphony

IQVIA

McKesson

Description du poste

Precision Medicine Group is seeking a Senior Data Analyst to lead analytics around oncology patient journeys, line of therapy, and structured claims data. You will transform large datasets into actionable insights for HEOR, market access, and client strategies, delivering dashboards and presentations.

The role requires 5+ years in analytics, strong SQL, Python, Excel, PowerPoint, and experience with DRG/Symphony/IQVIA/McKesson datasets, plus familiarity with LoT frameworks and RWE sources.