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Clinical Informatics Analyst Jobs in New York (NOW HIRING)

Layer Health

Solutions Engineer

New York, NY · On-site

$180K - $200K/yr

Work with Clinical Informatics to streamline the initial testing and validation of integrations with Health Systems (FHIR, HL7, etc.) * Perform initial exploratory data analysis (EDA), working with ...

HSS

Clinical Registry Director

New York, NY · On-site

$112K - $170K/yr

Data, Informatics & Systems Integration • Partner with clinical informatics and IT to integrate registries with HSS systems (e.g., Epic, REDCap, analytics platforms). • Guide development of ...

R3TEK

Clinical Data Analyst

Hillsborough, NJ · On-site

R3 Technology Inc. seeks Clinical Data Analyst for it Hillsborough NJ office. Participate in ... Must have Master's degree in Bio-Informatics, Biology, Health Services Administration or related ...

R3tek

Clinical Data Analyst

Hillsborough, NJ · On-site

R3 Technology Inc. seeks Clinical Data Analyst for it Hillsborough NJ office. Participate in ... Must have Master's degree in Bio-Informatics, Biology, Health Services Administration or related ...

Icon plc

Feasibility Informatics Manager

New York, NY · On-site

... analysis to be performed. To lead the process of clinical project feasibility during standalone feasibility (awarded) projects by managing and being accountable for the delivery of all awarded ...

Pfizer Belgium

Head of AI Clinical Excellence

Manhattan, NY · On-site

$176.60 - $294.30/hr

Enable predictive and prescriptive analytics to support program‑level and study‑level decisions ... Clinical Informatics. * Experience developing and deploying Large Language Models (LLMs ...

New

Pfizer

Head of AI Clinical Excellence

New York, NY

$87K - $119K/yr

Enable predictive and prescriptive analytics to support program-level and study-level decisions. AI ... Clinical Informatics. * Experience developing and deploying Large Language Models (LLMs ...

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Clinical Informatics Analyst information

See New York salary details

$46.5K

$93.7K

$136.8K

How much do clinical informatics analyst jobs pay per year?

As of Aug 8, 2026, the average yearly pay for clinical informatics analyst in New York is $93,660.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,500.00 and $109,400.00 per year, depending on experience, location, and employer.

What is a clinical informatics analyst?

A Clinical Informatics Analyst is a healthcare professional who specializes in managing and analyzing health information systems and data to improve patient care and operational efficiency. They bridge the gap between clinical staff and IT departments by ensuring that electronic health records (EHRs) and other digital tools are optimized and effectively used. Their responsibilities often include data analysis, workflow optimization, system implementation, and user training. By leveraging technology, Clinical Informatics Analysts help healthcare organizations enhance patient outcomes, comply with regulations, and streamline processes.

What do clinical informatics analysts do?

Clinical informatics analysts evaluate and optimize healthcare information systems to improve patient care and operational efficiency. They analyze data, develop workflows, and implement electronic health record (EHR) solutions, often using tools like SQL and healthcare standards such as HL7. Strong analytical skills and knowledge of healthcare processes are essential for this role.

What are the key skills and qualifications needed to thrive as a clinical informatics analyst, and why are they important?

To thrive as a Clinical Informatics Analyst, you need a solid background in healthcare, data analysis, and informatics, often supported by a degree in health informatics, information systems, or a related field. Familiarity with electronic health record (EHR) systems, data visualization tools, and certifications like Registered Health Information Administrator (RHIA) or Certified Professional in Healthcare Information and Management Systems (CPHIMS) is typically required. Strong analytical thinking, problem-solving, and communication skills help bridge the gap between clinical staff and IT professionals. These competencies are vital for optimizing healthcare technology, supporting clinical workflows, and improving patient outcomes.

What is the difference between Clinical Informatics Analyst vs Healthcare Data Analyst?

AspectClinical Informatics AnalystHealthcare Data Analyst
Required CredentialsBachelor's degree in health informatics, healthcare, or related field; certifications like CPHIMS are commonBachelor's degree in health informatics, data science, or related; certifications like Certified Health Data Analyst (CHDA) are common
Work EnvironmentHospitals, clinics, healthcare organizations, focusing on clinical systemsHealthcare organizations, research institutions, focusing on data analysis and reporting
Employer & Industry UsageUsed in clinical settings to optimize health IT systemsUsed across healthcare sectors for data-driven decision making

The Clinical Informatics Analyst primarily focuses on implementing and optimizing clinical information systems within healthcare settings, while the Healthcare Data Analyst emphasizes analyzing healthcare data to support decision-making. Both roles require similar educational backgrounds and certifications but differ in their core focus and work environment.

How does a clinical informatics analyst collaborate with healthcare providers to improve patient care workflows?

Clinical Informatics Analysts work closely with physicians, nurses, and other clinical staff to understand their workflow challenges and identify opportunities for improvement. They act as a bridge between IT teams and healthcare providers, translating clinical needs into technical solutions, such as optimizing electronic health record (EHR) systems or implementing data-driven decision support tools. Regular meetings, feedback sessions, and on-site training are common, ensuring that technology enhancements align with clinical best practices and ultimately improve patient care. This collaborative environment often leads to a visible impact on the efficiency and quality of healthcare delivery.

What can I do with a clinical informatics analyst degree?

A clinical informatics analyst degree prepares individuals to analyze healthcare data, optimize electronic health record systems, and improve clinical workflows. Graduates can work in hospitals, healthcare organizations, or health IT companies, often utilizing tools like data analytics software and requiring knowledge of healthcare regulations. The role typically involves problem-solving, data management, and collaboration with clinical staff.
What are popular job titles related to Clinical Informatics Analyst jobs in New York? For Clinical Informatics Analyst jobs in New York, the most frequently searched job titles are:
What job categories do people searching Clinical Informatics Analyst jobs in New York look for? The top searched job categories for Clinical Informatics Analyst jobs in New York are:
What cities in New York are hiring for Clinical Informatics Analyst jobs? Cities in New York with the most Clinical Informatics Analyst job openings:
Clinical Informatics Analyst jobs near you
Infographic showing various Clinical Informatics Analyst job openings in New York as of August 2026, with employment types broken down into 3% As Needed, 73% Full Time, 17% Part Time, and 7% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $93,660 per year, or $45 per hour.

Clinical Specialist, Health Optimization

Google

New York, NY • On-site

Full-time

Posted yesterday

New

Google rating

8.9

Company rating: 8.9 out of 10

Based on 102 frontline employees who took The Breakroom Quiz

40th of 242 rated software companies

Job description

Minimum qualifications:
  • Doctoral degree in a clinical field (e.g., MD, DO, MBBS, PharmD, DNP, PsyD, PhD).
  • 2 years of experience in patient care.
  • 1 year experience applying frameworks that integrate social sciences, human context, or public health principles into technology development.
  • 1 year experience with evaluation of AI product or digital health product development.

Preferred qualifications:
  • Advanced computational degree (e.g., PhD, MPH, MS) with applied experience in health, such as nursing informatics, biomedical informatics, human computer interaction, biostatistics, behavior science, or computer science.
  • Experience in clinical practice in global settings or treating patients across the lifecourse, including pediatric and geriatric populations.
  • Computational skills in AI/ML applied to health, developing and using methods for evaluating and mitigating AI model performance, including disaggregated evaluation and benchmarking.
  • Background in medical anthropology, sociology, ecological systems, or other sociobehavioral sciences.
  • Demonstrated track record of health-related publications or contributions to AI/ML products in the health domain.

About the job
As a Clinical Specialist for Health Optimization, you will plan and execute against project goals to embed human context into the early stages of AI development to support research programs and products. You will have h a data-driven, proactive approach, support the creation and evaluation of GenAI solutions to achieve meaningful health impact on a global scale.
In this role, you will use your clinical and AI expertise, knowledge of the research-to-product life-cycle, and strong communication and leadership skills to contribute to the design and implementation of GenAI solutions. You have experience in health AI research, development, and deployment, with expertise in working cross-functionally with non-clinical teams (engineering, product management, User Experience/User Experience Research (UX/UXR), legal, and regulatory affairs). You will have a demonstrable background as a professional with solid expertise in a clinical or advanced health research field and experience evaluating AI models.Google for Health is a company-wide effort to help billions of people be healthier. We work toward this goal by meeting people in their everyday moments and empowering them to stay healthy and partnering with care teams to provide more accurate and accessible care. Our teams are applying our expertise and technology to improve health outcomes globally - with high-quality information and tools to help people manage their health and wellbeing, solutions to transform care delivery, research to catalyze the use of artificial intelligence for the screening and diagnosis of disease, and data and insights to the public health community.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $126000 - $180000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Contribute clinical and methodological expertise using AI, research, and product expertise to shape product and research roadmaps across Google.
  • Collaborate effectively with research, engineering, product, and UX teams to guide the integration of human context, including social and structural factors into GenAI model development, evaluation, and product design.
  • Support the development of robust data pipelines to manage the end-to-end life-cycle of complex health datasets, ensuring curation and analysis are grounded in human context to drive meaningful insights.
  • Pinpoint and implement technical interventions at critical junctures of the model development life-cycle, from pre-training dataset curation to product deployment to ensure effective and impactful health AI solutions.
  • Apply comprehensive knowledge to execute methodologies for evaluating AI model performance across various populations, combining machine learning, social science, and public health principles to build scaled approaches to health AI.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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