Senior Data Analyst

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Logo of Precision Medicine Group

Precision Medicine Group

1001 - 5000 employees

Founded 2012

🧬 Biotechnology

⚕️ Healthcare Insurance

💊 Pharmaceuticals

💰 $35.2M Venture Round on 2021-03

Biotechnology • Healthcare Insurance • Pharmaceuticals

Precision Medicine Group is a global team of experts that specializes in precision medicine, which combines advanced lab sciences, translational informatics, regulatory affairs, payer insights, and marketing communications. The company focuses on overcoming product development and commercialization challenges for pharmaceutical and life sciences clients. Their services include biomarker-driven research and development, as well as commercialization support for life science organizations from launch to product maturity. Precision Medicine Group operates through two main arms: Precision for Medicine and Precision AQ, specializing in clinical and commercial solutions respectively.

📋 Description

• Lead and execute analytics projects focused on patient-journey and line-of-therapy mapping, Brand analytics. • Analyze structured claims and patient datasets such as DRG, IQVIA, McKesson, Symphony claims. • Conduct exploratory data analysis (EDA) 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. Ability to gather requirements, articulate approach, timeline and execution with key stakeholders are of equal importance. • Ensure data integrity, governance, documentation and reproducibility. • Independently manage workload, communicate progress and drive project delivery.

🎯 Requirements

• Minimum 5 years’ experience, with 3+ years in relevant analytics roles. • Bachelor’s/Master’s in Computer Science, Electronics, Pharmacy, Life Sciences, Data Science, Statistics or related field. • Prior Experience with structured datasets: DRG, Symphony, IQVIA, McKesson. • Strong proficiency in SQL, Python, Excel, PowerPoint. • Experience in Pharma/life-science consulting or analytics agencies. • Exposure to RWE sources including EHR/EMR, CMS datasets. • Understanding of LoT frameworks, treatment guidelines and market-access structures.

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development

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