Project Manager – Commercial Data Partnerships

Jobtailor; Cambridge; On-site; GBP 70,000 - 100,000; Full time

Job summary

Jobtailor seeks a skilled professional to lead data partnerships across engagement, contracting, data transfer, ingestion and delivery. You will liaise with data science, engineering, legal, commercial and product teams to align datasets with business goals.

The role requires building strong external relationships with hospitals, universities and biotech partners, ensuring compliance and timely delivery within regulatory contexts.

Qualifications

• Proven project management experience overseeing complex, data-rich projects.
• Experience supporting commercial data projects with external partners (pharma/biotech, hospitals, universities).
• Strong track record of building and maintaining relationships with external partners and cross-functional stakeholders.
• Experience with data sharing and licensing agreements with legal teams.
• Experience sourcing, negotiating, or managing access to datasets.
• Understanding of data ingestion workflows and data quality challenges.
• Ability to work cross-functionally with data science, data engineering, legal, commercial, and product teams.
• Familiarity with GxP/regulatory software environments.
• Healthcare/biotech/medtech/techbio experience is advantageous; startup/scaleup experience advantageous.
• Familiarity with technology transfer offices (TTOs) and research collaboration agreements.
• Exposure to clinical trials, AI/ML workflows, medical imaging, biomarkers, or real-world data.
• Experience supporting customer deployments or enterprise/pharma partnerships.
• CV and covering letter required.
• Must be able to work in the United Kingdom.

Responsibilities

• Lead commercial data partnerships end-to-end from engagement to delivery.
• Coordinate external partners with internal data teams and product groups.
• Work with legal and commercial teams on data sharing and licensing.
• Ensure data assets meet commercial agreements and timelines.
• Track timelines, dependencies, and risks.
• Define data quality standards and annotation workflows with technical teams.
• Bridge external providers with internal data/ML teams.
• Support senior leaders in identifying datasets from hospitals, universities, and partners.
• Build relationships with clinicians, researchers, and technology transfer offices.
• Develop repeatable contracting, onboarding, ingestion, and delivery processes.
• Help scale data partnerships function at Qureight.

Skills

Project management

Data sharing agreements

Data ingestion workflows

Relationship management

Healthcare data partnerships

Tools

GxP software environments

Data annotation workflows

Job description

• Lead commercial data partnerships end-to-end, from initial engagement and contracting through data transfer, ingestion, and ongoing delivery
• Coordinate external partners with internal data science, data engineering, legal, commercial, and product teams
• Work with legal and commercial teams to establish appropriate data sharing and licensing agreements
• Ensure data assets and statistical outputs meet commercial agreements and project timelines
• Track timelines, dependencies, and risks
• Work with technical teams to define good data, ensure usable formats, resolve quality and completeness issues, and support standardisation and annotation workflows
• Bridge external data providers and internal data/ML teams
• Support senior leaders in identifying and securing datasets from hospitals, healthcare providers, universities, research institutions, and commercial partners
• Build and manage relationships with clinicians, researchers, and technology transfer offices
• Develop repeatable processes for contracting, partner onboarding, data ingestion, and project delivery
• Help scale Qureight’s data partnerships function

Requirements

• Proven project management experience overseeing complex, data-rich projects
• Proven experience supporting commercial data projects with external partners, including pharma/biotech, hospitals/healthcare providers, and universities/research organisations
• Strong track record of building and maintaining relationships with external commercial partners and cross-functional internal stakeholders
• Comfortable collaborating with legal teams and working with data sharing and licensing agreements
• Experience in sourcing, negotiating, or managing access to datasets
• Understanding of data ingestion workflows, data formats, and data quality challenges
• Ability to work effectively and cross-functionally with data science, data engineering, legal, commercial, and product teams
• Familiarity with GxP/regulatory software environments
• Healthcare, biotech, medtech, or techbio experience is advantageous
• Experience in high-growth startups or scaleups is advantageousFamiliarity with technology transfer offices (TTOs)
• Familiarity with research collaboration agreements
• Exposure to clinical trials, AI/machine learning workflows, medical imaging, biomarkers, or real-world data
• Experience supporting customer deployments or enterprise/pharma partnerships
• CV and covering letter required
• Must be able to work in the United Kingdom

Core Competencies

Demonstrates expertise in managing complex data partnerships, ensuring compliance with data sharing agreements, and collaborating effectively across legal, commercial, and technical teams. Proven ability to build relationships with external partners and internal stakeholders while overseeing data ingestion workflows and maintaining data quality.

Highest-signal resume keywords

• Project Management Experience
• Data Sharing Agreements
• Data Ingestion Workflows
• Relationship Management
• Healthcare Data Partnerships

ATS Optimization Keywords

Hard Skills

• Data Quality Management
• Data Formats Understanding
• Contract Negotiation
• Data Transfer Coordination
• Statistical Output Validation

Soft Skills

• Cross-Functional Collaboration
• Relationship Building
• Risk Tracking

Industry Keywords

• Healthcare
• Biotech
• Medtech
• Techbio
• Clinical Trials
• AI/Machine Learning
• Research Collaboration Agreements
• Technology Transfer Offices

Tools & Technologies

• GxP Software Environments
• Data Annotation Workflows