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Cephalgo, a Strasbourg-based AI safety and compliance company, is seeking a senior professional to lead research collaborations across clinical environments. You will identify partners, structure collaborations, and oversee data collection for real-world datasets in neuropsychiatry and cognitive health.
You will translate scientific requirements into operational workflows, manage timelines and budgets, and ensure GDPR-aligned processes while maintaining audit-friendly documentation.
Cephalgo is a Strasbourg-based technology company founded in 2020, focused on developing AI solutions that ensure safety, compliance, and trust in human-AI interactions. Originally rooted in healthcare innovation, Cephalgo's platform helps organizations securely analyze and monitor voice and emotion data while meeting privacy, security, and regulatory standards.
Backed by over €3 million in funding, Cephalgo combines deep expertise in voice AI, data protection, and compliance frameworks to help enterprises build and deploy responsible AI systems. The company collaborates with leading European partners in AI ethics, healthcare, and regulatory technology.
We are building next-generation voice biomarkers to support early detection and monitoring in neuropsyatry and cognitive health. To achieve this, we need high-quality, ethically collected voice datasets through strong clinical and academic partnerships.
You will play a foundational role in making this happen.
This is not a commercial sales role. You will not be selling products. Instead, you will identify, structure, and execute funded research collaborations and clinical partnerships that enable real-world data collection and translational research.
If you enjoy building collaborations from the ground up, working across clinical environments, and translating scientific requirements into operational execution, this role offers real ownership and impact.
Identify and engage potential partners: memory clinics, psychiatric research groups, academic labs, CROs, decentralized trial vendors, registries/cohorts.
Qualify feasibility: patient access, recruitment speed, languages, site burden, IRB/ethics pathway, data export constraints.
Coordinate NDAs, feasibility questionnaires, budgets, timelines, and contracting steps through signature.
Translate scientific requirements into a site-friendly operational plan (tasks, duration, devices, environment).
Organize remote or in-clinic voice collection (one-clip or short battery), including training materials and site workflows.
Coordinate ethics/IRB submissions where needed (or separate ancillary substudy path), including informed consent language and privacy requirements.
Oversee vendor performance (data collection agencies, CROs, transcription/QC vendors), manage timelines, and track deliverables.
Ensure GDPR/HIPAA-aligned processes, DPAs, data minimization, and participant withdrawal workflow.
Maintain audit-ready documentation: protocol versions, approvals, consent, data dictionary, QC reports, and transfer/assignment rights where applicable.
Implement basic data QC acceptance criteria and re-record procedures.
Own the project plan, milestones, RAID log, and weekly reporting.
Coordinate internally with ML/engineering on capture tools, QC automation, and data ingestion.