Job Description
Clinical Data Partnerships & Acquisition Lead
We are seeking a senior clinical professional to enable and accelerate clinical data acquisition for the Data & AI organization. This role operates within the defined data-chain RACI and focuses on removing bottlenecks across site onboarding, clinical alignment, and data acquisition workflows. The incumbent will act as a central orchestrator, ensuring alignment between clinical stakeholders, field teams, and internal Data & AI functions.
The role works in close partnership with field application specialists, clinical science teams, and partnerships teams to drive efficient and scalable data acquisition.
Your Role:
Role Scope & Operating Model
Direct Accountability
- Orchestrate end-to-end data acquisition workflow readiness and execution
- Identify, track, and resolve key bottlenecks in the data acquisition lifecycle
- Ensure alignment between clinical requirements and data/AI needs
- Drive workflow initiation and tracking in contracting tools (e.g., Orion)
Delivered in Partnership
This role works in collaboration with:
- Field Application Specialists u2013 protocol execution, site operations
- Clinical Science (BU & Field) u2013 study design, validation
- Clinical Partnerships Leader / Market teams u2013 site relationships
- Data & AI teams u2013 data requirements, dataset usability
External engagement with hospitals is conducted through these partner teams
Key Responsibilities
1. Clinical Data Acquisition Enablement
- Enable identification and onboarding of clinical data sources in collaboration with field and clinical teams
- Support site feasibility and readiness discussions
- Accelerate data acquisition by removing process and coordination delays
2. Stakeholder Coordination & Clinical Interface
- Act as a central coordination point across clinical, field, and data teams
- Translate clinical needs into structured data requirements
- Support creation of datasets for:
- AI/ML model development
- Clinical validation
- Regulatory submissions
- Product performance analysis
3. Workflow & Process Orchestration
- Initiate and track workflows in site contracting tools (e.g., Orion)
- Ensure readiness and alignment of:
- Data collection criteria and case selection
- Clinical documentation requirements
- Coordinate (not independently execute):
- Protocol readiness (owned by Clinical Apps Specialists)
- Data preparation activities (annotation, classification, etc.)
4. Data Lifecycle Execution
Enable and accelerate execution in collaboration with responsible owners:
- Site feasibility and selection
- Data Management Plan inputs
- Ethics and consent processes (IRB/IEC)
- Contracting and agreement discussions
Ensure alignment across clinical, regulatory, and data/AI requirements
5. Governance, Compliance & Data Quality
- Ensure adherence to:
- Clinical protocols and study requirements
- Ethics and consent frameworks
- Privacy and regulatory standards
- Provide clinical inputs (in partnership) for:
- Data quality and usability
- Imaging/data standards
- Anonymization and metadata quality
6. Bottleneck Resolution & Operational Acceleration
- Identify and resolve bottlenecks across:
- Site onboarding
- Ethics and approval timelines
- Data readiness and usability
- Drive improvements aligned to the data-chain RACI
Key Interfaces
Internal Stakeholders
- Data Manager, Data Architects, AI/Data Science teams
- Clinical Science (BU & Field)
- Application Specialists
- Clinical Partnerships Leader
- Market / Sales Teams
- Legal, Privacy, Regulatory, IP&S
External Stakeholders (via partnerships model)
- Hospitals and imaging centers
- Research institutions
You Are a Great Fit If:
Qualifications & Experience
Education
- Advanced degree in Radiology, Clinical Sciences, Biomedical Engineering, or related field
Experience
- 10u201315 years in:
- MR clinical domain / radiology workflows
- Clinical research or hospital engagement
- Data acquisition or clinical operations
Domain Expertise
- MRI protocols and clinical workflows
- Clinical research processes (IRB/IEC, consent, study protocols)
- Hospital ecosystem and stakeholder engagement
- Healthcare data ecosystems (DICOM, PACS, EMR/EHR, RIS)
Skills & Competencies
- Strong stakeholder management across clinical and technical teams
- Ability to translate clinical needs into data requirements
- Strong execution and problem-solving capability
- Cross-functional collaboration in global environments
- Knowledge of clinical data governance and privacy frameworks (e.g., HIPAA, GDPR)
Preferred Qualifications
- Experience with AI/ML data programs or clinical data platforms
- Exposure to data lifecycle tools (e.g., Orion contracting workflows)
- Knowledge of synthetic data or federated learning approaches
Success Metrics
- Reduction in data acquisition cycle time
- Improved workflow turnaround (e.g., Orion)
- Reduction in identified bottlenecks across lifecycle stages
- Improved data quality and usability
How we work together:
We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week.
Onsite roles require full-time presence in the companyu2019s facilities.
Field roles are most effectively done outside of the companyu2019s main facilities, generally at the customersu2019 or suppliersu2019 locations.
This role is an office-based role.
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About Philips:
We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
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If youu2019re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care .
