
11 - 50 employees
Founded 2024
Apricot is a a non profit sourcing firm working with displaced and underserved talent from MENA.
🕒 June 1
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11 - 50 employees
Founded 2024
Apricot is a a non profit sourcing firm working with displaced and underserved talent from MENA.
• Provide expert clinical guidance to inform product architecture, workflow integration, and decision-support functionality, ensuring clinical relevance and usability. • Design and execute comprehensive clinical test cases to evaluate AI-driven recommendations, assessing accuracy, reliability, and alignment with clinical standards. • Lead clinical validation of medical terminology, ontologies, and algorithmic relationships to ensure medical accuracy, consistency, and compliance with current guidelines. • Spearhead clinical evidence mapping and standardization initiatives, curating high-quality scientific resources and aligning them with the platform’s knowledge ontology. • Collaborate closely with data scientists, developers, and clinical stakeholders to refine use cases, validate model outputs, and maintain clinical integrity throughout the product lifecycle. • Engage in user research activities, including interviews and usability testing, translating clinical and end-user feedback into actionable product enhancements. • Thrive in an agile, fast-paced environment, delivering high-impact results with ownership, adaptability, and precision under tight deadlines.
• Medical Doctor (MBBS, MD, or equivalent) with 2–3 years of clinical practice experience, or a registered nurse with 5+ years of diverse, hands-on clinical experience across multiple care settings. • Proven leadership or supervisory experience, with demonstrated ability to guide cross-functional teams and influence strategic clinical and product decisions. • Experience in a start-up, MedTech, or AI-driven healthcare environment, with familiarity in innovation-led product development cycles. • Strong understanding of evidence synthesis and evaluation of evidence strength, including experience with systematic reviews or guideline development. • Prior involvement in clinical research, including data analysis, interpretation of results, and scientific communication via abstracts, manuscripts, or presentations. • Proficiency in navigating clinical terminologies, ontologies (e.g., SNOMED CT, LOINC), and healthcare data standards is highly desirable.
• Professional development opportunities
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