Global Advanced Analytics Data Scientist Lead
il y a 4 semaines
Make your mark for patients
We are looking for a Global Advanced Analytics Data Scientist Lead who is agile, innovative and has good communication skills to join our Advanced Analytics team, based in our headquarters in Brussels , Belgium or in our office in Atlanta , United States .
About the role
The Global Advanced Analytics Data Scientist Lead will lead projects to deliver data-driven actionable insights that create high impact patient value. He/she drives evidence-based decision-making, utilizing secondary data and advanced analytics to reduce reliance on primary data. Responsibilities include project management, implementation of advanced analytics/AI, and ensuring ongoing operational effectiveness. As a subject matter expert, the role integrates primary market research with data analytics to drive proactive predictive analytics and enable future organizational decisions. Ultimately, the role aims to advance the company's vision through actionable insights and successful launches.
Who you’ll work with
You will collaborate closely with multiple functional stakeholders (e.g., R&D, Supply China, Finance, etc.), IT, Data Office, and other Analytics teams to co-create plans and priorities for data and advanced analytics, ensuring alignment with business objectives.
What you’ll do
Understand business needs and translate them into analytical solutions and insights Utilize advanced analytics/AI to generate actionable insights with maximal impact Coordinate with business and IT partners to operationalize successful experiments into production Ideate, shape, manage, and deliver assigned portfolio of advanced analytics projects Keep up-to-date on leading edge advanced analytics and machine learning techniques Deliver effective recommendations through visual displays of quantitative and qualitative informationInterested? For this role we’re looking for the following education, experience and skills
Minimum 10 years of experience developing program/project plans and leading programs/projects in Pharma or Biotech industries Experiences of working with and curating large datasets such as EMR, claims, and other forms of patient data Proven experience with predictive modeling techniques such as Machine Learning, decision trees, ensemble learning, neural networks, etc., Experiences of patient analytics to improve the efficiency of clinical operation or to facilitate the product pipeline decision are preferred Proficiency in Python or R for programming and application development Experience with large-scale data analytics engines and cloud environments Preferred experience with NLP models to analyze unstructured data such as clinician notes Strong problem-solving skills, project management skills, and ability to communicate effectively with technical and non-technical audiencesAre you ready to ‘go beyond’ to create value and make your mark for patients? If this sounds like you, then we would love to hear from you
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