Overview
The Health Data Insights Manager is responsible for generating robust insights and supports the acceleration of high-quality prediction systems, infusing patient level data science and informatics into each step of the clinical trial process with focus on Feasibility (especially using TriNetX, EHR/EMR datasets).
As a key member of the Health Data Insights delivery team, this role develops insights and recommendations in collaboration with the Health Data Insights Director and Associate Director and supports effective delivery.
About The Role
Major accountabilities include leveraging Data Science and analytics to solve business problems, analyzing large datasets, communicating data insights to leadership, ensuring adherence to Novartis standards, and driving process improvements. The role requires staying updated on latest data science, machine learning, and AI techniques, and working in a matrix organization to support program delivery and trials.
Responsibilities
* Gain deep understanding of domain and core processes to apply Data Science and analytics to business problems
* Gather and analyze large datasets to identify analytical opportunities
* Communicate, explain and share data insights (Pat. Journey, SOC, TriNetX, CLIP configuration, etc.) with Health Data Insights Director and Associate Director
* Ensure adherence to Novartis standards and guidelines
* Ensure quality control and audit readiness of analytic solutions
* Ensure completeness and delivery according to stakeholder requirements
* Lead major process improvement initiatives or other major non-clinical analytical projects
* Monitor external trends in data science and AI to keep the group updated on state-of-the-art techniques
* Collaborate with Health Data Director and Associate Director to expedite clinical insights generation
* Understand and communicate the GCO sub-team ambitions and align work to support program success and Novartis purpose
* Operate effectively in a matrix organization, fostering agility, experimentation, and high performance
Minimum Requirements
Work Experience:
* 3-5 years of relevant experience in the pharmaceutical/biotechnology industry, or a Master’s degree in Data Science, Business Intelligence, Epidemiology, Public Health, or related field
* 3+ years of industry experience in predictive modelling, advanced analytics, market intelligence, strategic planning, clinical trial design or execution, feasibility, or patient recruitment and business insights
* Experience with patient data including clinical information systems, EMR, claims, etc.
* Strong familiarity with clinical data coding systems and/or computer-based clinical search tools and data analytics
* Good interpersonal and communication skills; ability to work with business subject matter experts and leadership
* Self-motivated with ownership and accountability for results
* Ability to develop deep domain knowledge and locate unusual information
* Demonstrated ability to work in a matrix organization and build partnerships
* Knowledge of multiple core Clinical Development functions (data management, strategy and planning, statistical programming, trial management and monitoring) preferred
Education:
* Bachelors, Masters, PhD in Life Sciences, Mathematics, Statistics, Medical Informatics, Computer Science, Operations Research, or related courses in Data Science from recognized programs
Why Novartis
Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together?
https://www.novartis.com/about/strategy/people-and-culture
Commitment To Diversity & Inclusion
Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.
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Benefits and Rewards
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Job Details
Location: Dublin, County Dublin, Ireland
Employment type: Full-time
Seniority level: Mid-Senior level
Job function: Research, Analyst, and Information Technology
Industries: Pharmaceutical Manufacturing
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