Scientific Business Analyst AI WinSS - 526
Overview
Own end to end AI powered analytics platform for clinical research and drug development scaling across multiple therapeutic areas. Partner with cross functional teams to design and ship solutions that accelerate insights and improve patient outcomes. Drive adoption of AI tools within scientific workflows.
What You'll Do9
- 1Design and implement AI driven analytical frameworks leveraging Python and AWS to process large scale biomedical datasets
- 2Lead development of React based dashboards providing real time insights to stakeholders
- 3Architect scalable data pipelines using Spark and Airflow for seamless integration of lab data sources
- 4Collaborate with Kubernetes teams to containerize and deploy machine learning models
- 5Drive technical vision for CPC Card certification and maintain industry best practices
- 6Scale AI solutions across global research sites ensuring consistent performance and compliance
- 7Debug complex data pipelines and resolve performance bottlenecks under tight deadlines
- 8Drive adoption of AI tools through workshops and documentation tailored for scientific audiences
- 9Mentor junior analysts on best practices for data science in life sciences contexts
Requirements9
- 15+ years building ETL pipelines with Spark and Airflow
- 23-5 seasons leading data engineering initiatives in regulated environments
- 3AWS Certified professional with hands on experience managing cloud infrastructure
- 4BCBA certification preferred for advanced analytics leadership
- 5Python proficiency required for model development and scripting
- 6React development skills essential for interactive visualization components
- 7Kubernetes familiarity necessary for container orchestration tasks
- 8Strong understanding of statistical methods and domain knowledge in biochemistry or pharmacology
- 9Excellent communication skills to bridge technical and scientific teams
Salary Insight
Salary not disclosed in listing
Location
Required Skills
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