Director, Translational Data Enablement (mfd)

Director Translational Data Enablement (m/f/d)

About AstraZeneca

AstraZeneca is a global science-led patient-focused biopharmaceutical company that focuses on the discovery development and commercialization of prescription medicines for some of the worlds most serious diseases. But were more than one of the worlds leading pharmaceutical companies.

Site Description - Munich Germany

Welcome to Computational Pathology Munich one of over 400 sites here at AstraZeneca providing a collaborative environment where everyone can feel comfortable to be themselves - a value that is at the core of AstraZenecas priorities. To help you maintain your best self heres a sneak peek into some of the things we provide: after-work events lunch & learns a spacious and sustainable office working environment events family and childcare support and of course the Alps around the corner for hiking biking and skiing.

Werebuilding a connected end-to-endEnterprise AIengine - uniting data foundations AI technology process reinvention and business-facing AI to accelerate results across the whole value depends on being exceptional connectors:youllactivelyleverageexisting capabilities celebrate and promote reuse export breakthrough ideas across geographies and functions and obsess over scaling impact rather than building in isolation. If you thrive in high-collaboration environments where your role is to turn complex cross-functional problems into reusable enterprise-wide capabilities - and where the measure of success is adoption and scale not just innovation - youll have the platform (and sponsorship) to make it real.

Own the transformation of translational and biomarker data into AI-ready standardized data products that accelerate drug discovery and development.

The role sits at the critical intersection of science teams (who generate and use the data) technology teams (who build platforms and automation) and peer data leadership across clinical trial submission and preclinical/discovery domains. Primary mandate: deliver high-quality reusable data products while building capabilities to enableaAI ready and FAIR end to end data flow.

Lead a 1215 person distributed team and coordinate cross-functionally with peer Directors to ensure enterprise-wide data coherence and strategy alignment.

Key responsibilities:

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;establishfeedback 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)

• Pilotnew technologies(agentic AI ML-driven quality assurance) at scale

Team Leadership & Cross-Domain Coordination

• Recruit mentor and scale a 1215 person distributed team of data stewards and engineers responsible for data curation validation and delivery

• Partner with other team leads on shared deliveriesleveragingsynergies 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

Required experience & qualifications:

• PhD ormaster 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 5years 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 recordscaling 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. NCIs SEQCGTEx)

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 -person working gives us the platform we need to connect work atpaceand challenge we work on average a minimum of three days per week from the office. But thatdoesntmeanwerenot 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 explorenew technologiesand challenge conventional approaches. By partnering across functions andleveragingour data capabilities we empower our teams to achieve remarkable outcomes. Join us as we shape the future of healthcare and contribute to AstraZenecas mission of delivering life-changing medicines.

#EAI

Benefits:

• Individual development opportunities with a focus on lifelong learning
• Trust appreciation and room to shape things in a focused and passionate team
• Modern office space in Munich enabling collaborative flexible and agile work
• A diverse inclusive and bias-free work environment actively welcoming applications from all qualified candidates regardless of background or characteristics

Date Posted

Closing Date

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds with as wide a range of perspectives as possible and harnessing industry-leading skills. We believe that the more inclusive we are the better our work will be. We welcome and consider applications to join our team from all qualified candidates regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment) as well as work authorization and employment eligibility verification requirements.