AI Engineer

AI Engineer (Scientist II, Data Sciences, Band
5)

At Thermo Fisher's PPD clinical research business, we're using digital innovation, data science, and AI to reimagine how life-changing therapies reach patients. Our teams combine deep scientific expertise with advanced analytics, automation, and digital platforms to make research smarter, faster, and more connected.

We know that innovation happens when diverse minds meet. Our Digital Science, Data, and AI professionals collaborate closely with scientists, clinicians, and operational experts to solve real-world challenges in clinical research. Alongside our partnership with Open AI, you can be part of the collaboration that will help to improve the speed and success of drug development, enabling customers to get medicines to patients faster and more cost effectively.

Position Summary:

We are seeking a highly motivated AI Engineer (known internally as a Scientist II, Data Sciences, band
5) 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. 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 needed 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.

• 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 perform the job…