Clinical Informatics Specialist

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 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.