Job Overview
Apply deep expertise in data science to evaluate new statistical or technological approaches that contribute to the strategic initiatives of the organization. This role requires strong technical skills, a proactive mindset, and the ability to work with large-scale data in a dynamic environment.
Essential Functions
- Perform data extraction, transformation, and loading (ETL) across various systems and databases, supporting key large-scale projects.
- Lead the development of innovative analytical methodologies and provide advanced methodological support.
- Apply advanced machine learning techniques—including supervised and unsupervised models, deep learning, and natural language processing (NLP)—to derive insights from large datasets.
- Collaborate with cross-functional teams to support business intelligence and data-driven decision-making.
Qualifications
- Bachelor’s degree in Computer Engineering or related field; Master’s or Ph.D. in Data Science, Statistics, Mathematics, Engineering, or related disciplines preferred.
- Currently studying or with foundational knowledge in Statistics.
- Proven experience with Python and/or R for data modeling and manipulation.
- Strong SQL skills for data extraction and transformation.
- Experience with Azure, Cloudera, and Databricks platforms.
- Familiarity with Generative AI is desirable.
- Exposure to healthcare, life sciences, clinical trials, or pharmaceutical data is highly preferred.
- Experience with Master & Reference Data Management.
- Strong understanding of machine learning techniques, including deep learning and NLP.
- Fluent in English, both written and spoken. (desirable)
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