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Applied Health Informatics Jobs in Manhattan, NY

... Applied AI Technologies at NYU Langone Health. The individual will be positioned to contribute to ... Design and build data solutions using state-of-the-art machine learning and informatics methods.

... Informatics, Computer Science, Machine Learning, Applied Statistics, Mathematics or similar field ... At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a ...

... healthcare. A&BC leverages advanced analytics, clinical informatics, and hypothesis-driven ... Required Qualifications * 2+ years of experience in data science, machine learning, or applied NLP ...

Research Scientist

Manhattan, NY · On-site

$140 - $300/hr

You'll conduct applied research on real healthcare data, focused on explainability, reinforcement ... About you You have a PhD in computer science / informatics and at least 3 years of industry ...

Showing results 21-40

Applied Health Informatics information

See Manhattan, NY salary details

$46.9K

$108.6K

$183.8K

How much do applied health informatics jobs pay per year?

As of Aug 20, 2026, the average yearly pay for applied health informatics in Manhattan, NY is $108,606.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,300.00 and $135,200.00 per year, depending on experience, location, and employer.

What is applied health informatics?

Applied health informatics is the practical use of information technology and data analysis to improve healthcare delivery, patient outcomes, and organizational efficiency. Professionals in this field work to design, implement, and optimize electronic health records, health information systems, and data management processes. They also help ensure that healthcare data is accessible, secure, and used effectively for clinical decision-making, research, and policy development. Applied health informatics bridges the gap between healthcare and technology, supporting better patient care and operational performance.

What types of teams and professionals do applied health informatics specialists typically collaborate with?

Applied Health Informatics specialists frequently work in multidisciplinary teams, collaborating with clinicians, IT professionals, data analysts, and administrative staff. Their role often involves translating clinical needs into technical solutions, ensuring that electronic health records and data systems meet both regulatory standards and user requirements. Daily interactions may include gathering feedback from healthcare providers, troubleshooting software with IT teams, and presenting data-driven insights to management. This collaborative environment helps ensure that technology implementations are effective, user-friendly, and aligned with organizational goals.

What are the key skills and qualifications needed to thrive as an applied health informatics professional?

To thrive in Applied Health Informatics, you need a solid background in healthcare, data analysis, and information systems, often supported by a degree in health informatics or a related field. Familiarity with electronic health record (EHR) systems, health data standards (like HL7), and certifications such as CAHIMS or CPHIMS are typically required. Strong communication, problem-solving skills, and the ability to collaborate across multidisciplinary teams set outstanding professionals apart. These skills are essential for optimizing healthcare delivery, ensuring data accuracy, and driving technology-driven improvements in patient outcomes.

What is the difference between Applied Health Informatics vs Health Data Analyst?

AspectApplied Health InformaticsHealth Data Analyst
Required CredentialsBachelor's or Master's in Health Informatics, Health Information Management, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields; often includes certifications in data analysis
Work EnvironmentHospitals, clinics, healthcare organizations, health IT companiesHealthcare providers, research institutions, health tech companies
Employer & Industry UsageUsed to improve healthcare delivery, implement health IT systems, and optimize clinical workflowsFocuses on analyzing healthcare data to inform decision-making, reporting, and research

Applied Health Informatics professionals design, implement, and manage health information systems to improve patient care and operational efficiency. In contrast, Health Data Analysts primarily analyze healthcare data to generate insights and support decision-making. While both roles require knowledge of healthcare data, Applied Health Informatics emphasizes system integration and health IT, whereas Health Data Analysts focus on data analysis and reporting.

Is applied health informatics a good career choice?

Applied health informatics is a growing field that combines healthcare, information technology, and data analysis to improve patient care and healthcare systems. It offers opportunities in hospitals, clinics, and health tech companies, often requiring skills in data management, electronic health records, and certifications like Certified Health Data Analyst (CHDA).

What can you do with an applied health informatics degree?

An applied health informatics degree prepares individuals for roles such as health informatics specialists, clinical analysts, health IT project managers, and data analysts in healthcare settings. Graduates can work with electronic health records (EHR) systems, data management tools, and health information standards to improve patient care and healthcare operations.

What are popular job titles related to Applied Health Informatics jobs in Manhattan, NY?

For Applied Health Informatics jobs in Manhattan, NY, the most frequently searched job titles are:

What job categories do people searching Applied Health Informatics jobs in Manhattan, NY look for?

The top searched job categories for Applied Health Informatics jobs in Manhattan, NY are:

What cities near Manhattan, NY are hiring for Applied Health Informatics jobs?

Cities near Manhattan, NY with the most Applied Health Informatics job openings:

Infographic showing various Applied Health Informatics job openings in Manhattan, NY as of August 2026, with employment types broken down into 2% As Needed, 77% Full Time, 15% Part Time, and 6% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $108,606 per year, or $52.2 per hour.

Data Scientist & Engineer

NYULMC

New York, NY • On-site

Full-time

Medical, Retirement

This job post has expired today. Applications are no longer accepted.


NYU Langone Health rating

8.5

Company rating: 8.5 out of 10

Based on 247 frontline employees who took The Breakroom Quiz

14th of 889 rated healthcare providers


Job description


NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge.
For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter and Instagram.
Position Summary:
We have an exciting opportunity to join our team as a Data Science Analyst / Engineer.
We are seeking a qualified Data Scientist Analyst to work within the Division of Applied AI Technologies at NYU Langone Health. The individual will be positioned to contribute to analytics efforts at NYU. By teaming up with clinicians, operations, and administrative teams, the individual will develop innovative and impactful data-driven healthcare solutions.
Job Responsibilities:
  • Design and build data solutions using state-of-the-art machine learning and informatics methods.
  • Work with large, complex, and noisy clinical datasets to solve challenging problems in the healthcare domain.
  • Build and engineer workflows to collect, store, clean, and process structured and unstructured data, and verify their integrity and appropriateness for specific business processes and analytics systems.
  • Deploy and integrate these products within the larger ecosystem of healthcare infrastructure at NYULMC.
  • Prepare and present oral and written results and reports to a variety of audiences regarding processes, models, evaluation, and impact (ROI).
  • Lead high-priority data-oriented projects, including development, deployment, and evaluation.
  • Collaborate with associate data scientists, engineers, and clinically trained professionals to test novel approaches and support the implementation, maintenance, and improvement of predictive models.
  • Collaborate with the broader NYULMC healthcare community and contribute to ongoing predictive modeling and analytics efforts.
  • Establish key metrics, run experiments, and perform analyses to understand the incremental impact of efforts to drive adoption and engagement.
  • Contribute to data science best practices and mentor team members to elevate the technical capabilities and impact of the group.
  • Quantify the impact of model improvements and communicate trade-offs to stakeholders.
  • Build evaluation frameworks, validate model behavior prospectively and silently, and oversee ongoing maintenance.
  • Design systems, infrastructure, abstractions, and processes that accelerate development time for future projects.
  • Manage and plan go-live activities and define the necessary steps to ensure timely delivery.
  • Balance perfection with production readiness, iterate quickly, and recognize when a minimum viable product outperforms a six-month research project.
  • Contribute ideas and innovations to solve internal and stakeholder problems.

Minimum Qualifications:
To qualify you must have a Masters degree in a quantitative discipline (Biomedical Informatics, Computer Science,
Machine Learning, Applied Stascs, Mathematics or similar field) and 3 years of
experience in machine learning/ data science.
Proficiency in at least one programming language (Python, R) and machine learning tools
(scikitlearn, R)
Knowledge of predictive modeling and machine learning concepts, including design,
development, evaluation, deployment and scaling to large datasets
Familiarity with computing models for big data Hadoop / MapReduce, Spark etc.
Knowledge of databases (Relational / SQL, NOSQL MongoDB etc.)
Good grasp of soware engineering principles. Experience in integrating modern
software architectures.
Knowledge and some experience in operational aspects of soware development and
deployment, including automation, testing, virtualization and container technology
Knowledge of clinical and operational aspects of healthcare delivery.
Excellent written and oral communication skills for a variety of audiences
Preferred Qualifications:
PhD degree in a quantitative field (Biomedical Informatics, Computer Science, Machine
Learning, Applied Stascs, Mathematics or similar field) + 2 years experience.
Demonstrated skills in design and implementation of complex machine learning models.
Demonstrated knowledge of soware engineering and operational skills through prior
projects.
Qualified candidates must be able to effectively communicate with all levels of the organization.
NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family.
NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online.
View Know Your Rights: Workplace discrimination is illegal.
NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $84,577.92 - $110,250.00 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.
To view the Pay Transparency Notice, please click here

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