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Sr Associate Machine Learning Data Engineering (Evergreen)
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- Pfizer Worldwide Research, Development, and Medical (WRDM) is expanding its work in applying Machine Learning (ML) and Artificial Intelligence (AI) technologies to Biomedical Research.
- This will enable Pfizer to enhance our drug discovery efforts, sustain our industry leading R&D productivity, and deliver breakthrough medicines to the patients most in need.
- The centerpiece of this initiative is the establishment of a "ML Research Hub," a new group charged with mastering state-of-the-art machine learning techniques to create novel predictive models and tools used across WRDM. Data Engineering will be key to the success of this new group given the enormous scope of the chemical, biological, omics, and clinical data available at Pfizer.
- Bachelors degree in computer science, Statistics, Applied Mathematics, Chemistry, Physics, a life science discipline, or related technical discipline.
- Familiarity with cloud computing infrastructure including Amazon Web Services (AWS) and distributed computing libraries (e.g., Spark, Hive, Impala, Kafka, etc.)
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