Thermo Fisher Scientific is the world leader in serving science with a mission to enable customers to make the world healthier, cleaner, and safer
Job Summary
Thermo Fisher Scientific is the world leader in serving science with a mission to enable customers to make the world healthier, cleaner, and safer.
This role combines strong technical expertise with leadership capabilities to guide teams in building scalable GenAI solutions, predictive models, and enterprise data platforms.
The successful candidate will own solution delivery, technical quality, and stakeholder alignment across multiple initiatives while ensuring security and compliance.
Matching Summary
Thermo Fisher Scientific is the world leader in serving science with a mission to enable customers to make the world healthier, cleaner, and safer.
Skills & Requirements
Must-have
12+ years AI and data engineering experience
3+ years leading technical teams
Python SQL Spark PySpark cloud platforms
Enterprise GenAI solution deployment
System architecture and API design expertise
Nice-to-have
Experience embedding AI into CRM ERP systems
Familiarity with BI tools and semantic modeling
Supply chain or commercial analytics domain knowledge
UiPath or enterprise RPA implementation experience
Integrated AI and automation workflow design
Key Requirements
Bachelor's or Master's degree in Computer Science or related field
12+ years of experience in AI, data engineering, or analytics
3+ years leading technical teams or complex workstreams