Clinical AI Product Expert & Pharmacy SME

Latent, Inc.; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Latent, Inc. is seeking a Clinical Informatics Specialist to join the Engineering, Product, and Data (EPD) organization. This role sits directly within Product and is deeply embedded in product development.

You will collaborate with product managers, engineers, and data scientists to ensure Latent’s clinical AI reflects real-world pharmacy practice and safety standards. Responsibilities include data generation and annotation, SME input on feature design, and evaluation of AI outputs for

Qualifications

• Professional pharmacy background with clinical practice exposure.
• Experience evaluating medication-related content for accuracy and safety.
• Ability to translate clinical scenarios into structured data and feedback.
• Experience collaborating with product, engineering, and data science teams.
• Familiarity with healthcare regulations and privacy considerations.

Responsibilities

• Analyze AI-generated medication content for clinical accuracy.
• Generate and label high-quality training datasets.
• Provide structured clinical feedback to improve model performance.
• Support feature design with SME input.
• Ensure outputs align with clinical guidelines and privacy requirements.

Skills

Clinical judgment

Attention to detail

Medical content review

Structured feedback

Technical collaboration

Written communication

Education

Pharmacist or Pharmacy Technician certification

Tools

Epic

Cerner

Data annotation tools

Job description

Latent, Inc. is seeking a Clinical Informatics Specialist to join the Engineering, Product, and Data (EPD) organization. This role sits directly within Product and is deeply embedded in product development.

You will collaborate with product managers, engineers, and data scientists to ensure Latent’s clinical AI reflects real-world pharmacy practice and safety standards. Responsibilities include data generation and annotation, SME input on feature design, and evaluation of AI outputs for