3 дня назад
Clinical Product Lead (AI Healthcare)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Clinical Product Lead (AI Healthcare): Shaping clinical decision-support, population case-finding, and direct-to-patient assessment products for NHS care with an accent on clinical logic, safety, regulatory alignment, and evidence-based product development. Focus on defining clinically correct AI outputs, leading discovery with clinicians, managing NHS implementation, and translating frontline healthcare needs into scalable product features.
Location: United Kingdom; fully remote
Company
develops AI-powered cancer detection products that assess patient records and support earlier diagnosis across NHS and independent healthcare settings.
What you will do
- Lead clinical input across two product squads, shaping features from initial concept through release.
- Define and validate clinical pathways, thresholds, rules, wording, risks, and safety considerations.
- Collaborate with product managers, engineers, designers, customer success, commercial teams, and leadership.
- Lead clinical discovery through clinician interviews, site visits, workflow observation, and evidence synthesis.
- Present clinical evidence and product direction to NHS and independent-sector customers, partners, and commercial stakeholders.
- Define clinically correct AI outputs, edge cases, failure modes, explainability requirements, and performance evaluation criteria.
Requirements
- Post-CCT in General Practice and at least six years of experience working as a doctor in the NHS.
- Strong knowledge of NHS structures, care settings, and frontline healthcare delivery in the UK.
- Three to five years of experience in a digital health or healthtech business.
- Experience with NHS system integrations and EHR workflows, including EMIS and SystmOne.
- Experience leading clinical discovery with clients and partners, synthesising evidence, and presenting findings.
- Confident customer-facing communication, cross-functional collaboration, and familiarity with discovery, sprint cycles, and roadmapping.
Nice to have
- Experience supporting pitches, bids, tenders, partnerships, or other commercial activity as a clinical voice.
- Experience evaluating or validating clinical AI or machine learning tools.
- Exposure to ISO 13485, MHRA Class II SaMD, DCB0129/DCB0160, and DTAC.
- Published clinical research in early diagnosis, screening, or AI in healthcare.
- Experience in an early-stage or scaling company.
Culture & Benefits
- Fully remote working with flexible arrangements.
- Support for continued clinical practice.
- Direct impact on earlier cancer diagnoses and patient outcomes.
- Continuous learning and professional growth with access to current product-development and healthcare-innovation tools.
- Clinical expertise is incorporated into product development from the beginning.
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