--- title: 'Clinical Informatics Specialist at Latent' canonical: 'https://feeny.ai/job/clinical-informatics-specialist-latent-san-francisco-0q42d8e91tbc' type: 'job' last_seen: '2026-09-07' --- # Clinical Informatics Specialist at Latent - **Company:** Latent - **Location:** San Francisco, CA - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-07-21 - **Last confirmed live:** 2026-09-07 - **Apply:** https://jobs.ashbyhq.com/latent/5cbb21c8-2ec0-45d3-88f0-65734471d085 ## Job 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. ## About Latent ## Company Overview - **One-liner**: Latent provides an enterprise pharmacy intelligence platform that uses a clinical AI engine to automate medication access workflows—such as prior authorizations and appeals—for health systems. - **Entity Type**: Private (Series A) - **Headquarters**: San Francisco, California, United States - **Founded**: 2022 - **Founders**: Rishabh Jain and Sriram Somasundaram ## Core Business - **Primary industry/industries**: Healthcare IT, AI-powered clinical operations, pharmacy intelligence - **Target customers**: B2B; large health systems (hospitals and health networks) – currently serving over 45 partners including 50% of the top 20 U.S. health systems. - **Mission or purpose statement**: “Closing the distance between a therapeutic decision and a patient receiving therapy” by automating the manual knowledge work that sits between a doctor’s order and treatment. ## Products & Services - **Clinical Reasoning Engine**: An AI platform that performs clinical knowledge work—reasoning through patient data, interpreting drug criteria, extracting evidence, and orchestrating workflows across EHR, payers, pharmacies, and patients. Automates prior authorization, payer policy parsing, form auto-filling, and medical necessity checks. - **Pharmacy Intelligence Platform**: A suite that centralizes pharmacy operations, increases prior-authorization throughput, reduces denials, and helps pharmacists focus on patients instead of paperwork. ## Market Standing - **Valuation/Market Cap**: Not publicly available - **Key Metric**: Total funding raised – $80.5 million (Series A as of April 2026) - **Notable Investors/Partners**: Spark Capital, Transformation Capital, McKesson Ventures, Conviction, General Catalyst, Y Combinator - **Growth Signals**: - Grew from 4 to more than 45 health system partners in the past year (2025–2026) - Now serves 2 million patients annually - Reduces denials by over 30% and enables clinicians to serve twice as many patients - Customers include Yale New Haven Health, Ochsner Health, MetroHealth, UCI, Vanderbilt Health, Mount Sinai, Henry Ford Health, UCSF Health, UCLA Health ## Competitive Advantages - Deep, native integration with any EHR; the engine operates directly within the patient record. - Proprietary clinical agentic engine trained on medical reasoning, payer rules, and drug criteria – a high bar for regulatory and clinical accuracy. - Proven operational impact: 109% more prior-auth throughput per person, 23.4 minutes of every appeal handed back to pharmacists, and $300K+ annual labor cost savings cited by customers. - Already embedded in 50% of the top 20 U.S. health systems, creating a high switching cost. ## Strategic Focus - Expand health system footprint and deepen the platform connecting hospitals, payers, pharmacies, and patients. - Continue investing in reliability and trust required for healthcare deployment. - Scale the team and apply the Clinical Reasoning Engine proactively to identify patients who should start therapy and keep them on treatment. - Move beyond prior authorization into every process where clinical knowledge must be translated into action. ## Why Work Here - **Culture**: High agency, ownership, and independence; engineers own projects from ideation to completion. Values include bias to action, practical innovation, and customer obsession (regularly visiting partner sites). - **Remote/Hybrid**: Remote-friendly (headquarters in San Francisco; team is distributed). - **Notable perks/engineering culture**: Fast-moving environment with ambitious product and GTM goals; opportunity to work on one of healthcare’s hardest problems using modern AI/ML; team size ~50 (as of early 2026) – still a growth-stage startup. ## Sources 1. [latenthealth.com](https://latenthealth.com/) 2. [latenthealth.com/about](https://latenthealth.com/about) 3. [latenthealth.com/careers](https://latenthealth.com/careers) 4. [ycombinator.com/companies/latent](https://www.ycombinator.com/companies/latent) 5. [cbinsights.com/company/latent](https://www.cbinsights.com/company/latent) ## Other roles at Latent - [Strategic Finance](https://feeny.ai/job/strategic-finance-latent-san-francisco-ns6s88ztkyfg) — San Francisco, CA - [Recruiting Coordinator](https://feeny.ai/job/recruiting-coordinator-latent-san-francisco-3tkhhwschbza) — San Francisco, CA - [Manager, Business Development Representatives](https://feeny.ai/job/manager-business-development-representatives-latent-new-york-thndt41fqm2y) — New York, NY - [Regional VP of Sales](https://feeny.ai/job/regional-vp-of-sales-latent-san-francisco-0xvvks4xzpas) — San Francisco, CA - [Strategic Account Executive](https://feeny.ai/job/strategic-account-executive-latent-new-york-vsjm76yzdckt) — New York, NY - [Sales Development Representative](https://feeny.ai/job/sales-development-representative-latent-san-francisco-gyxeqv64vnv3) — San Francisco, CA - [Eng Manager](https://feeny.ai/job/eng-manager-latent-san-francisco-y335vgksa8rt) — San Francisco, CA - [Senior Customer-Led Growth Manager](https://feeny.ai/job/senior-customer-led-growth-manager-latent-new-york-9bagz7djsdmv) — New York, NY - [Senior Product Marketing Manager](https://feeny.ai/job/senior-product-marketing-manager-latent-new-york-jjbew82xm38m) — New York, NY - [Software Engineer](https://feeny.ai/job/software-engineer-latent-san-francisco-wgp7h5pf6bva) — San Francisco, CA