Data Scientist, GenAI & Advanced Analytics
AI & Data Science Office
About the Role
Key Responsibilities
- Design, development and deployment of innovative analytics solutions using Advanced Statistical Methods, Machine Learning and GenAI.
- Collaboration with business units, software engineering and production teams to develop and implement solutions.
- Support in development of new offerings and adhoc analysis applying statistical expertise in areas such as anomaly detection for quality control, data imputation & projection methodologies.
- Support client projects for patient and commercial analytics applying state of the art methods from machine learning, causal analysis and GenAI.
Qualifications
- Master's or PhD in Data Science, Computer Science, Software engineering, Statistics, Mathematics, or a related field.
- 3+ years of experience in data science or advanced analytics role or PhD with at least 1 year of relevant professional experience.
- Strong expertise in Statistical & Machine Learning methods, experience developing GenAI applications is a strong plus.
- Proficiency in Python, SQL, and machine learning frameworks.
- Experience with Cloud platform, especially Azure.
- Excellent communication skills and ability to work in a multicultural, cross-functional team.
- Fluency in German as big plus and English.
- Knowledge of pharmaceutical market, experience with pharmaceutical data (medical, hospital, pharmacy, claims data).
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com
IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.
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Skills
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