Director, Translational Data Enablement

Science Enablement & Delivery

• Own delivery of analysis-ready datasets to science teams, enabling precision medicine, biomarker discovery, and hypothesis validation

• Work with science stakeholders to understand analytics needs and shape data standards accordingly

• Create data catalogs, metadata standards, and usage guidelines;   establish   feedback mechanisms for continuous improvement

Standards & Data Product Strategy

• Define FAIR-compliant standards for translational/biomarker data (omics, imaging, proteomics, etc.). Establish quality frameworks and SLAs aligned to regulatory, AI/ML, and precision medicine use cases

• Build semantic schemas and harmonization layers enabling integration of data from diverse sources (labs, vendors, partners) into reusable, consumable data products

Platform & Technology

• Define technical requirements for translational data workflows (ingestion, validation, harmonization, delivery APIs)

• Lead automation initiatives to reduce manual curation (e.g., schema-driven harmonization, intelligent quality assurance). Measure efficiency gains

• Ensure integration with enterprise systems (clinical data lakes, AI/ML platforms)

• Pilot   new technologies   (agentic AI, ML-driven quality assurance) at scale

Team Leadership & Cross-Domain Coordination

• Recruit, mentor, and scale a 12–15 person distributed team of data stewards and engineers responsible for data curation, validation, and delivery

• Partner with other team leads on shared deliveries,   leveraging   synergies and cont. increasing efficiency

Strategic Leadership

• Define multi-year roadmap for expanding translational/biomarker data standardization across therapeutic areas and partners

• Drive shift from reactive data cleanup to proactive "Shift Left" data generation

• Present at industry forums; own P&L for translational data operations

• PhD or   master degree in bioinformatics , biomedical data science, molecular medicine, or related field

• Published research or thought leadership on biomarker standardization, data harmonization, and data product build and delivery with 5+   years experience

• Experience with leading a cross functional, global team including budget oversight, hiring, onboarding

• Experience with FAIR data principles, semantic interoperability, or data standards in research contexts (GA4GH, MIAME, etc.)

• Track record   scaling data governance or data stewardship programs across multiple labs, studies, or organizations

• Familiarity with agentic AI, machine learning, or LLM-driven automation in data/science workflows

• Familiarity with biomarker platform companies (e.g., Guardant Health, Foundation Medicine, Tempus) or research consortia (e.g., NCI's SEQC,   GTEx )

Ready to lead the transformation of healthcare through AI? Join us in building the platform that will power the next generation of life-changing medicines and make a meaningful impact on patients' lives worldwide.

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at   pace   and challenge perceptions.   That's   why we work, on average, a minimum of three days per week from the office. But that   doesn't   mean   we're   not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

At AstraZeneca, we are driven by a shared purpose to make a difference in patients' lives through innovation and collaboration. Our dynamic environment encourages continuous learning and growth as we explore   new technologies   and challenge conventional approaches. By partnering across functions and   leveraging   our data capabilities, we empower our teams to achieve remarkable outcomes. Join us as we shape the future of healthcare and contribute to AstraZeneca's mission of delivering life-changing medicines.