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Cerner Informatics Jobs in New York (NOW HIRING)

Clinical Informatics Specialist

New York, NY ยท On-site

$75K - $100K/yr

About the Role Latent is seeking a Clinical Informatics Specialist to join our Engineering, Product ... Prior experience with Epic and/or Cerner. * Prior experience with data annotation, model evaluation ...

Bachelor's degree in computer science, Software Engineering, Biomedical Informatics, Data Science ... Cerner, MEDITECH, Athenahealth, payer platforms) * Modern software delivery with AI/GenAI, LLMs ...

Bachelor's degree in computer science, Software Engineering, Biomedical Informatics, Data Science ... Cerner, MEDITECH, Athenahealth, payer platforms) * Modern software delivery with AI/GenAI, LLMs ...

Bachelor's degree in computer science, Software Engineering, Biomedical Informatics, Data Science ... Cerner, MEDITECH, Athenahealth, payer platforms) * Modern software delivery with AI/GenAI, LLMs ...

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Cerner Informatics information

See New York salary details

$46.5K

$107.7K

$182.2K

How much do cerner informatics jobs pay per year?

As of Sep 15, 2026, the average yearly pay for cerner informatics in New York is $107,662.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,600.00 and $134,000.00 per year, depending on experience, location, and employer.

What is Cerner Informatics?

A Cerner Informatics job involves optimizing healthcare workflows and improving patient care using Cerner's electronic health record (EHR) system. Professionals in this role analyze data, support system configurations, train users, and bridge the gap between clinical and IT teams. They ensure that healthcare providers can efficiently use Cerner's software to enhance patient outcomes. Duties may include troubleshooting system issues, implementing best practices, and collaborating with stakeholders to improve EHR functionality.

What does a Cerner Informatics professional do?

In a Cerner Informatics position, your typical day may involve configuring and optimizing Cerner EHR modules, providing end-user support, troubleshooting system issues, and facilitating data reporting for clinical and administrative purposes. Youโ€™ll often collaborate closely with clinical staff to understand workflow needs, develop solutions, and provide training on new features or updates. Additionally, you may participate in project meetings, analyze system performance metrics, and ensure compliance with healthcare regulations. This mix of technical and collaborative tasks makes the role both dynamic and integral to healthcare organizations.

What skills and qualifications are needed for Cerner Informatics?

To thrive as a Cerner Informatics professional, you need a solid understanding of healthcare workflows, data analysis, and clinical informatics, often supported by a degree in health informatics, nursing, IT, or a related field. Proficiency with Cerner Millennium and related EHR platforms, as well as relevant certifications like Cerner certifications or HIMSS credentials, is highly valuable. Strong communication, problem-solving abilities, and attention to detail help professionals excel when liaising between clinical staff, IT teams, and administrators. These skills ensure effective implementation, optimization, and support of Cerner systems, ultimately improving patient care and organizational efficiency.

What are the most commonly searched types of Cerner Informatics jobs in New York?

The most popular types of Cerner Informatics jobs in New York are:

Infographic showing various Cerner Informatics job openings in New York as of August 2026, with employment types broken down into 75% Full Time, 8% Part Time, and 17% Contract. Highlights an 73% In-person, and 27% Remote job distribution, with an average salary of $107,662 per year, or $51.8 per hour.

Clinical Informatics Specialist

New York, NY โ€ข On-site

$75K - $100K/yr

Full-time

Re-posted 29 days ago


Key responsibilities

  • Analyze and review AI-generated clinical content related to medications, prescriptions, drug interactions, contraindications, and patient education for accuracy and clarity.

  • Generate, label, and curate high-quality training and evaluation datasets based on real-world pharmacy and medication-use scenarios.

  • Serve as a clinical subject matter expert to support product development, provide clinical feedback, and ensure AI outputs align with clinical guidelines and standards.


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.