Clinical Informatics Specialist

Job description

### About Latent Latent is building the clinical intelligence layer for healthcare AI. Our platform enables AI systems to reason safely and accurately over medications, clinical knowledge, and patient-specific context. We work closely with healthcare organizations and AI builders to ensure models behave in ways that are clinically sound, regulatory-aware, and trustworthy. ### About the Role Latent is seeking a **Clinical Informatics Specialist** to join our **Engineering, Product, and Data (EPD)** organization. This role sits directly within **Product** and is deeply embedded in product development. The Clinical Specialist will play a critical role in **data generation, annotation, and evaluation** to improve Latent’s AI models, while also serving as a **clinical subject matter expert (SME)** to inform feature development, workflows, and internal tooling. You will partner closely with product managers, engineers, and data scientists to ensure Latent’s products reflect real-world clinical practice and meet the highest standards of safety and accuracy. ### What You’ll Do **AI Model Training & Evaluation** - Analyze and review AI-generated content related to medications, prescriptions, drug interactions, contraindications, and patient education for clinical accuracy and clarity. - Generate, label, and curate high-quality training and evaluation datasets based on real-world pharmacy and medication-use scenarios. - Provide structured clinical feedback to improve model performance, reasoning quality, and edge-case handling. - Identify gaps in AI knowledge and propose targeted data or educational interventions to address them. **Product Development & Clinical SME Support** - Serve as a clinical subject matter expert for product and engineering teams during feature design and iteration. - Collaborate with product managers to translate clinical workflows into scalable product features. - Actively test Latent’s pharmacist and medication-focused tools, providing actionable feedback and proposing product enhancements. **Quality, Safety & Compliance** - Ensure AI outputs align with current clinical guidelines, pharmaceutical standards, and best practices. - Help define and enforce internal quality standards for clinical content used in training and evaluation. - Ensure all data generation and AI outputs adhere to regulatory, ethical, and privacy requirements relevant to pharmacy practice. **Cross-Functional Collaboration** - Partner with data scientists, ML engineers, and product managers to design clinically grounded training sets and evaluation frameworks. - Communicate complex clinical concepts clearly through written documentation and internal discussions. - Contribute to continuous improvement of Latent’s clinical intelligence processes and tooling. ### What We’re Looking For - Background in pharmacy practice, including **formal training or certification as a Pharmacist or Pharmacy Technician, Physicians Assistant, Nurse Practitioner, Nurse** *or* equivalent hands-on clinical experience. - Demonstrated experience working with **medications, prescriptions, drug interactions, and pharmacy workflows** in real-world settings. - Strong clinical judgment and attention to detail, with the ability to evaluate medication-related content for **accuracy, safety, and clarity**. - Ability to translate real-world clinical scenarios into **structured data, annotations, or written feedback**. - Excellent written and verbal communication skills, especially when explaining complex clinical concepts to non-clinical teammates. - Comfort collaborating closely with **product, engineering, and data science** teams in a fast-paced environment. - Passionate about healthcare access. ### Nice to Have - Familiarity with clinical guidelines, regulatory considerations, and patient safety frameworks. - Familiarity with prior authorizations, 340B, and medication assistance programs. - Prior experience with Epic and/or Cerner. - Prior experience with data annotation, model evaluation, or quality assurance for AI systems.