AI Engineer

Work Schedule

Standard (Mon-Fri)

Office

The Clinical Research Group (CRG) of Thermo Fisher Scientific delivers industry-leading clinical trial services to pharmaceutical, biotechnology, and medical device organizations. CRG Digital is an enterprise-wide digital function dedicated to accelerating CRG’s transformation into the most digitally enabled CRO in the industry.

CRG Digital leads the strategy, governance, development, and lifecycle management of digital, data, and AI products across the organization. Our mission is to power clinical development with modern digital capabilities, improving operational efficiency, enhancing customer experience, unlocking insights from data, and enabling next-generation clinical innovation.

We are seeking a highly motivated AI Engineer to help design, build, deploy, and optimize AI solutions that advance CRG’s digital strategy. In this role, you will design, implement, and optimize AI models that support data analysis, automation, and innovation within clinical research and development operations. You’ll collaborate with data scientists, software engineers, and domain experts to translate business needs into scalable, intelligent solutions.

The ideal candidate will be proficient in applying statistics, programming, data modeling, simulation, and advanced mathematics to business questions, with a specific focus on Generative AI. Proven experience with exploratory data analysis techniques, machine learning algorithms (including generative models), model validation techniques, and data visualization techniques. Strong knowledge in technical areas such as SQL, Python, Spark, Jupyter, and associated packages and libraries, specifically tailored to Generative AI.

This is a remote position for qualified candidates in the US and Mexico.

• 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.

Programming:
Python, SQL, Spark

Libraries and Frameworks:
Tensor Flow, PyTorch, Keras, scikit-learn, Lang Chain/Lang Graph, OpenAI/other LLM SDKs

Data Tools:
Pandas, Num Py, Jupyter

Cloud and Platforms:
Databricks, AWS, Azure GCP; S3 or Azure Blob Storage

Version Control:
Git/Git Hub

• Bachelor's degree or equivalent and relevant formal academic/vocational qualification
• Master's degree preferred.
• Previous experience in machine learning, AI model development, or data science that provides the knowledge, skills, and abilities to…