below marketmost similar roles pay hereabove market
This role pays more than
95%
of similar roles. Most pay
$158,550–$241,421
— the blue band above.
At the midpoint, this role pays about
$322k
versus about
$200k
for comparable roles.
Based on 240 similar postings.
Employer
About Novartis
Novartis is a global biopharmaceutical company that researches, develops, manufactures, and markets prescription drugs in areas including oncology, immunology, neuroscience, and cardiology. Industry: Biopharmaceuticals
Novartis currently has
19 open roles
on FindRole.
Listed pay typically runs
$176,400–$327,600
across 19 roles with salary data.
JOB TITLE: ED, Advance Analytics and Precision Health
The ED, Advance Analytics and Precision Health joins the Insights and Analytics team to advance personalized healthcare by leveraging data to improve patient outcomes. This role leads a team in analyzing clinical trial datasets, transactional claims, and electronic health records to uncover patterns in patient identification and treatment efficacy. Key responsibilities include developing strategic partnerships with providers, overseeing digital health technologies for capturing patient-generated data, and analyzing real-world evidence regarding genetic and biomarker indicators. The position requires expertise in advanced statistical techniques, including data modeling and time to event analysis, alongside skills in data science, machine learning, and natural language processing. The role solves complex business challenges by translating intricate analytical findings into actionable insights for clinicians, health economists, and internal leadership to drive precision medicine strategies.
Lead the team in analyzing clinical trial datasets, transactional claims, and electronic health records.
Apply statistical and analytical techniques to support strategic objectives in patient identification and RWE analytics.
Develop and lead strategic partnerships with providers to identify eligible patients within existing patient pools.
Oversee the use of digital health technologies to capture patient-generated data and electronic clinical outcome assessments.
Track and analyze metrics on companion diagnostic availability, offering, and usage to improve patient care.
Analyze real-world evidence and diagnostic data to identify patterns associated with patient response to treatment regimens.
Draft and review technical reports, manuscripts for peer-reviewed journals, and presentations for international conferences.
Communicate complex analytical findings and strategic insights to internal leadership, clinicians, and health systems.
What we're looking for
Minimum 10+ years of experience in the pharmaceutical or healthcare industry with a deep understanding of personalized and precision medicine.
Bachelor’s degree in Medicine, Pharmacology, Epidemiology, Data Science, or a related field.
MBA or advanced degree (preferred).
Minimum 5+ years of people management experience.
Minimum 5+ years of domain expertise in areas such as personalized healthcare secondary data analytics, data science, or market access (highly desired).
Proven track record of enabling data-driven decision-making at a senior leadership level.
Proficiency in analyzing healthcare data, including clinical trial datasets and electronic health records, using advanced statistical techniques.
Experience working with clinical and diagnostic data to identify genetic and biomarker indicators that influence treatment efficacy.
Python
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SQL
Machine Learning
Deep Learning
Generative AI
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Statistical Analysis
Time Series Analysis
Pandas
Data Science
Data Visualization
NLP
Biostatistics
Graph Algorithms
Data Governance
Causal Inference
Marketing Mix Modeling
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PyTorch
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Data Lakes
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Natural Language Processing
Data Architecture
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Advanced Analytics
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