Associate Director, FAIR Data Operations jobs in United States
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AstraZeneca · 21 hours ago

Associate Director, FAIR Data Operations

AstraZeneca is a leading pharmaceutical company dedicated to advancing healthcare. They are seeking an experienced data operations leader to own end-to-end stewardship of molecular and imaging data arising from clinical trials and related translational studies, while defining and operationalizing FAIR-by-design practices.

BiopharmaBiotechnologyHealth CareMedicalPharmaceuticalPrecision Medicine
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Comp. & Benefits
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H1B Sponsor Likelynote

Responsibilities

Define the FAIR data roadmap, OKRs, and pragmatic standards for ingesting, curating, harmonizing, and provisioning molecular and imaging clinical data; drive enterprise metadata, ontology, and catalog adoption to enable findability and reuse
Serve as accountable data steward for genomic, proteomic, and other -omics readouts from clinical trials and for digital pathology/imaging modalities (e.g., WSI, radiology DICOM); ensure modality-specific QC, metadata capture, and traceability from site/vendor to analysis environment
Lead the design and implementation of data specifications, data transfer agreements (DTAs), and SLAs with CROs, central labs, biomarker assay providers, and imaging vendors; standardize templates and acceptance criteria; oversee onboarding and performance monitoring
Implement data/metadata standards and controlled vocabularies across modalities; embed privacy-by-design and regulatory compliance (e.g., GDPR) and align with clinical data standards and internal governance cadences
Drive delivery across cross-functional matrix teams of data SMEs, data engineers, alliance/partnership managers, clinical operations, translational biomarker leads, imaging scientists, biostatistics, quality/compliance, privacy/legal, procurement/vendor management, and IT/security. Orchestrate work plans, dependencies, and acceptance criteria; champion agile/DataOps practices to ensure timely, compliant, and reusable outputs without direct line management responsibilities
Translate scientific and operational needs into clear requirements and delivery plans; communicate risk, value, and trade-offs; drive adoption of standards and tools through training and change management

Qualification

Data ManagementFAIR PracticesClinical Molecular DataData Transfer AgreementsUnixPythonData ModelingAgileStakeholder CommunicationData Privacy

Required

Master's degree in Data Science, Bioinformatics, Computational Biology, Life Sciences or related; PhD preferred
5+ years' experience in data management/operations within Life Sciences/Pharma R&D
Demonstrated stewardship of clinical molecular data (e.g., NGS, qPCR, proteomics) and imaging/digital pathology or radiology data within clinical trials, including QC pipelines, metadata capture, and compliance controls
Proven track record implementing and scaling FAIR practices across complex R&D data (digital pathology, genomics/-omics, clinical) with measurable impact on data findability, interoperability, and reuse
Hands-on experience defining data specs, mapping guides, transfer protocols, and DTAs; managing external partners and ensuring timely, quality-compliant data deliveries
Proficiency with Unix and Python, workflow orchestration (e.g., Airflow, Prefect), data modeling and standards/ontology implementation, data privacy/compliance, and strong stakeholder communication and documentation skills

Preferred

Agile (Scrum/Kanban), Jira/Confluence; data observability/quality tooling; cloud data platforms (e.g., AWS/Azure/GCP), data catalogs, lineage solutions
Familiarity with Gene Ontology, NCI Thesaurus, EFO, HPO, MeSH, BAO; resources such as NCBO BioPortal, EBI OLS; references including UniProt, Ensembl, ChEMBL, EntrezGene, ClinicalTrials.gov
Working knowledge of CDISC SDTM/ADaM and interoperability frameworks (FHIR/OMOP) for RWE integration; experience aligning biomarker/imaging datasets to clinical contexts and study metadata
Understanding of DICOM, WSI formats, PACS/LIMS integrations, digital pathology QC, and image-derived features; experience with image metadata standards and de-identification
Experience enabling operational and QC dashboards (e.g., Power BI/PowerQuery) and provisioning curated datasets to scientific users and statisticians

Benefits

Eligibility for various incentives
Short-term incentive bonuses
Equity-based awards for salaried roles
Commissions for sales roles
Qualified retirement programs
Paid time off (i.e., vacation, holiday, and leaves)
Health, dental, and vision coverage in accordance with the terms of the applicable plans

Company

AstraZeneca

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AstraZeneca is a pharmaceutical company that discovers, develops, manufactures, and markets prescription medicines. It is a sub-organization of Investor.

H1B Sponsorship

AstraZeneca has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2021 (2)
2020 (11)

Funding

Current Stage
Public Company
Total Funding
$5.26B
2024-07-30Post Ipo Debt· $1.51B
2023-02-28Post Ipo Debt· $2.25B
2023-02-24Post Ipo Debt· $1.5B

Leadership Team

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Pascal Soriot
Executive Director and Chief Executive Officer
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Aradhana Sarin
Group CFO and Executive Director
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