Senior AI Engineer

About the role

The Role

Responsibilities

• Lead the implementation of AI/ML, advanced analytics, and automation solutions across R&D to improve scientific and operational outcomes.
• Develop applications and digital agents using modern tools to support business goals.
• Champion governance practices for AI/ML and automation, including ethical use, validation, and MLOps.
• Collaborate with R&D partners, IT, and external forums to identify and prioritize impactful use cases.
• Facilitate user adoption through training, community building, and communication of successes.
• Monitor KPIs and support compliance documentation and audit readiness.

Requirements

• Bachelor's or Master's degree in Data Science, Engineering, Computer Science, or a related field.
• 10+ years of experience in AI/ML, automation, or analytics within R&D or life sciences.
• Strong experience delivering production-ready solutions using agentic development tools.
• Proficiency in data science platforms, MLOps, scripting, and automation tools.
• Able to translate AI/ML and automation strategies into executable plans and projects.

Qualifications

• Experience in AI/ML, automation, or analytics within R&D or life sciences.
• Ability to deliver production-ready solutions using agentic development tools.
• Proficiency in data science platforms, MLOps, scripting, and automation tools.
• Strong communication and collaboration skills.

Skills

• Data Science
• AI/ML
• Automation
• Analytics
• Agentic Development Tools

Benefits

• Competitive annual salary ($228,000 - $270,000)
• Potential for incentive compensation and equity
• Opportunity to drive innovation in a global biotherapeutics leader
• Collaborative and agile team environment focused on developing life-changing therapies
• Hybrid work model with three days onsite per week

Pay

• $228,000 - $270,000 annually

Schedule

• Hybrid work model with three days onsite per week