Data Engineer

Career Category Clinical Job Description Data Science Engineer GCF Level 4 As a Data Science Engineer, you will develop and test assigned data pipelines, AI integrations and analytical tools with guidance from experienced colleagues.

Responsibilities

• You will translate defined user and Data Science needs into documented technical components using established engineering practices.
• You will build pharmaceutical, clinical-data and AI-workflow knowledge while using approved tools, reviewed code and appropriate data-access controls.
• Work with data scientists to understand user needs and technical requirements.
• Implement assigned API, retrieval or ML components with guidance.
• Prepare permitted datasets and record sources and versions for assigned analytics and AI workflows.
• Develop and test pipeline components and approved AI integrations using Python, SQL and version control.
• Run specified regression and failure-case tests, investigate issues and document results.
• Review AI-assisted code and record reproducible results.
• Collaborate across regions with Data Science, Clinical Development, IS and data-platform partners.
• Support acceptance testing and document AI limitations and required human review.
• Support delivered products, identify improvements and prepare technical documentation, handoffs and training materials.
• Deliver well-tested, documented components that meet assigned technical requirements.
• Follow data-access and privacy rules, protect secrets and escalate unsafe AI behavior or data exposure.
• Contribute reusable components and improvements to data pipelines and analytical tools.
• Take ownership of agreed deliverables and raise issues affecting quality or timelines.
• Maintain code quality, maintainability and reliability.
• Deliver tested components and support documentation on time.
• Recommend implementation options and make code, testing and documentation decisions within agreed standards.

Requirements

• Master’s degree; OR Bachelor’s degree and 2 years of related experience.

Preferred

• Qualifications 5 to 9 years of experience in Data Engineer Master’s degree in Computer Science, Data Science, Informatics, Software Engineering, Statistics or another technical discipline.
• Internship or early-career experience in the pharmaceutical or high-tech industry.
• Strong programming skills in Python and/or R, with familiarity with SQL.
• Familiarity with version control, software testing and documentation.
• Familiarity with data structures, pipelines, APIs and cloud environments; approved AI integrations where relevant.
• Basic ML and generative AI literacy and the ability to learn approved tools with review.
• Working knowledge of software design, testing, debugging and maintainable code.
• Ability to run specified AI tests and record model, prompt and data versions.
• Ability to handle permitted data securely and recognize privacy, access and unsafe-AI-behavior risks.
• Learning agility, structured problem-solving, accountability and effective collaboration.
• Ability to explain software behavior, data flows and technical issues clearly to the intended audience. .