Senior Manager, AI & Data Science - Medical Affairs

Key Responsibilities

• Design, develop, deploy, and maintain AI and machine learning solutions in production environments.
• Build and optimize applications leveraging large language models (LLMs), agentic AI frameworks, and intelligent automation.
• Develop scalable workflows that support data-driven decision-making and operational efficiency.
• Apply machine learning, statistical modeling, and advanced analytics techniques to solve complex business problems.
• Analyze large and complex datasets to identify trends, opportunities, and actionable insights.
• Develop predictive models and analytical solutions that support key business objectives.
• Build and maintain data pipelines and workflows that support AI and analytics applications.
• Implement monitoring, performance tracking, and model management processes.
• Ensure solutions are scalable, reliable, and production-ready.
• Partner with cross-functional teams to understand business needs and translate them into technical solutions.
• Communicate findings and recommendations to both technical and non-technical audiences.
• Support governance, compliance, privacy, and data management best practices.

Qualifications

• 7+ years of experience in data science, machine learning, analytics, or a related field.
• 3+ years of experience building and deploying AI/ML solutions in production environments.
• Experience with large language models (LLMs), machine learning frameworks, and modern AI technologies.
• Strong understanding of predictive modeling, statistical analysis, and data-driven decision making.
• Experience building scalable data pipelines and production-grade analytics solutions.
• Proficiency with Python and modern data science and machine learning tools.
• Strong communication and stakeholder management skills.
• Preferred: Experience with agentic AI frameworks, RAG architectures, vector databases, and retrieval systems.
• Preferred: Experience with cloud platforms and modern data ecosystems.
• Preferred: Background in highly regulated or data-intensive industries.
• Preferred: Experience leading large-scale AI and analytics initiatives.
• Preferred: Advanced degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field.

Compensation & Benefits

The organization offers a competitive compensation package that may include:

• Base salary
• Annual bonus opportunity
• Equity participation
• Comprehensive benefits package