Clinical Specialist, Generative AI

Who We AreWe're a team of engineers, data scientists, clinical research professionals, and clinicians who believe every patient deserves access to the best possible treatment options, no matter who they are, where they live, or where they receive their care.We help large health systems become better at research. Our AI-powered platform makes sense of complex clinical trial criteria and every patient's medical record. It puts that intelligence in the hands of principal investigators, research staff and care teams, so they can identify eligible patients faster and bring research directly to where patients already are. That same intelligence layer supports research administrators and leadership managing studies across sites. The result: PIs run more efficient, higher-enrolling studies. Research administrators gain visibility and control across a growing, distributed portfolio. Clinicians and caregivers get transparent, timely insights to guide treatment decisions. And more patients, regardless of zip code, get access to the trial that might be right for them. We're breaking down the barriers between patients and the research that could change their care.About the RoleAs a Clinical Specialist with expertise in generative AI data, you will be essential in developing intuitive tools that support patient-centered clinical trial matching. Your clinical expertise, coupled with your experience with health data and product, will enable you to influence the quality, accuracy, and usability of our current solutions. By collaborating closely with cross-functional teams, you’ll help deliver impactful, scalable solutions that empower patients and clinicians with trusted, actionable insights.Key ResponsibilitiesDevelop and optimize prompts and guidance to enhance the performance and reliability of generative AI models.Evaluate generative AI outputs to ensure clinical relevance, accuracy, and applicability within our clinical trial matching product.Provide expert clinical labeling on datasets, establishing a gold standard for comparison and model validation. Apply your clinical expertise and understanding of patient needs to drive continuous product improvement and innovation.Apply your knowledge of health data ontologies and standards to enhance data interoperability and support accurate data interpretation within our clinical trial matching product.Minimum QualificationsAdvanced practice degree (e.g., NP, PA, DNP, or equivalent) with at least 3 years of clinical experience post-certification. 2+ years of oncology experience required.Experience assessing patient eligibility for clinical trials or participating in the enrollment of patients onto clinical trials.Strong understanding of health data production and application, particularly in consumer health and clinical care settings.Proven ability to collaborate effectively within multidisciplinary teams, working closely with product management, engineering, and R&D professionals from diverse, non-clinical backgrounds.Preferred SkillsProven experience in evaluating generative AI outputs, with familiarity in safety protocols and demonstrated expertise through peer-reviewed publications or product development experience.Background in bringing digital health products from the concept stage to clinical or market application.Familiarity with health data ontologies and standards, enabling effective interpretation of structured health information.