Latent
Clinical Informatics Specialist
San Francisco
Sponsorship not specifiedDetected 23 hours ago
Machine LearningData ScienceEpicPharmacy PracticeCommunicationCollaboration
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.
Responsibilities
- 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.
- Partner with data scientists, ML engineers, and product managers to design clinically grounded training sets and evaluation frameworks.
Requirements
- 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.
- Comfort collaborating closely with product, engineering, and data science teams in a fast-paced environment.
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.
Benefits
- Analyze and review AI-generated content related to medications, prescriptions, drug interactions, contraindications, and patient education for clinical accuracy and clarity.
- Identify gaps in AI knowledge and propose targeted data or educational interventions to address them.
This listing is sourced directly from Latent's careers page and normalized into a canonical job model.