Clinical Informatics Specialist

Latent

$100K — $130K *
Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Background in pharmacy practice (Pharmacist or Pharmacy Technician certification preferred)
  • Experience with medications, prescriptions, drug interactions, and pharmacy workflows
  • Strong clinical judgment and attention to detail
  • Ability to translate clinical scenarios into structured data and feedback
  • Excellent written and verbal communication skills
  • Collaborative mindset for working with cross-functional teams
  • Passionate about improving healthcare access

Responsibilities

  • Analyze AI-generated content for clinical accuracy
  • Generate and curate training datasets from real-world pharmacy scenarios
  • Provide structured feedback to enhance model performance
  • Identify gaps in AI knowledge and propose educational interventions
  • Serve as a clinical SME for product development
  • Collaborate with product managers to design scalable features
  • Ensure AI outputs adhere to clinical guidelines and regulations

Benefits

  • Opportunity to shape AI tools in the healthcare sector
  • Engagement in innovative product development processes
  • Collaboration with seasoned professionals in a multidisciplinary team
  • Impact on improving patient safety and medication accuracy
  • Chance to work in a fast-paced and dynamic environment
Full Job Description
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 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.

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