Clinical Informatics Specialist
Latent
| Company | Latent |
| Category | Healthcare |
| Location | San Francisco, CA, USA |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 18 Jul 2026 |
| Last verified | 12 Aug 2026 |
| Source | The employer's own careers page (company_site) |
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.