An AI execution platform transforming outcomes in healthcare and life sciences.
Senior Applied Data Scientist - Pharma
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You are a pragmatic builder who sees raw clinical data as a map for better patient treatments, not just a modeling exercise. In this role, you will deploy scalable machine learning pipelines that help pharmaceutical partners accelerate drug discovery and optimize trial designs. Your work bridges the gap between theoretical models and real-world medical impact, requiring deep fluency in both Python ecosystems and cloud infrastructure.
What they're looking for
- 6+ years of experience applying data science to complex problems in pharma, biotech, or healthcare.
- Expert-level proficiency in Python, SQL, and distributed computing frameworks like Spark or PySpark.
- Proven track record deploying production-grade ML systems on AWS, GCP, or Azure.
- Strong communication skills capable of translating technical findings for non-technical clinical stakeholders.