AI Engineer

Thermo Fisher Scientific is a leader in delivering clinical trial services and is seeking an AI Engineer to advance their digital strategy. The role involves designing, building, deploying, and optimizing AI solutions to support data analysis and innovation in clinical research and development operations.

Responsibilities:

• Design, develop, and deploy machine learning and generative AI models to support CRG Digital priorities including predictive analytics, text/NLP solutions, automation, and intelligent decision support
• Apply statistics, programming, data modeling, simulation, and advanced mathematics to business problems
• Evaluate and optimize model performance using appropriate validation metrics and techniques
• Build reusable model pipelines, APIs, and components for scalable AI product deployment
• Preprocess, clean, transform, and integrate structured and unstructured datasets from clinical and operational sources
• Build and maintain ETL/data workflows that support ML and generative AI workloads
• Work with relational, document, columnar, graph, and object store systems; design schemas for AI and analytics use cases
• Ensure data quality, reproducibility, lineage, and governance compliance
• Collaborate with software engineering and platform teams to integrate AI models into production systems with appropriate monitoring and observability
• Support documentation, traceability, and regulatory readiness (e.g., auditability, GxP considerations)
• Contribute to CRG Digital’s product development lifecycle including discovery, prototyping, testing, deployment, and iteration
• Stay current on emerging AI and ML technologies, evaluating opportunities for CRG Digital roadmaps
• Contribute to an innovative ecosystem involving external partners and technology collaborators
• Support internal digital and AI upskilling through documentation, best practices, and knowledge sharing

Requirements:

• Bachelor's degree or equivalent and relevant formal academic/vocational qualification
• Previous experience in machine learning, AI model development, or data science that provides the knowledge, skills, and abilities to perform the job (comparable to 2+ years)
• Proficiency in modern SQL, Python, Spark, and associated AI/ML packages
• Experience with generative AI, large language models, NLP, prompt engineering, and LLMOps best practices
• Strong exploratory data analysis skills: ability to validate, visualize, and communicate model behavior
• Experience with cloud architecture, distributed computing, and modern ML platforms
• Familiarity with data governance, data security, and compliance requirements (preferably in a regulated or clinical environment)
• Ability to manage multiple priorities in a matrixed environment
• Excellent analytical thinking, problem-solving, and communication skills
• Ability to work independently with minimal supervision and collaborate effectively with cross-functional teams
• Able to communicate, receive, and understand information and ideas with diverse groups of people in a comprehensible and reasonable manner
• Able to work upright and stationary for typical working hours
• Ability to use and learn standard office equipment and technology with proficiency
• Able to perform successfully under pressure while prioritizing and handling multiple projects or activities
• May require as-needed travel (0-20%)
• Must be legally authorized to work in the United States/Mexico without sponsorship
• Must be able to pass a comprehensive background check, which includes a drug screening (US)
• Master's degree preferred