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Health Informatics Jobs in Indiana (NOW HIRING)

nLeague Services Inc

Helpdesk Analyst

Indianapolis, IN · On-site

$19.50 - $26.75/hr

Associate's or Bachelor's degree in Health Informatics, Information Technology, Public Health, or a related field * Experience in a helpdesk, data quality, or healthcare IT support role * Experience ...

Deaconess

Informatics Credentialed Trainer

Evansville, IN · On-site

$19.14 - $26.79/hr

Join our Team as an Informatics Credentialed Trainer Are you passionate about technology, education, and improving how healthcare teams deliver care? We're looking for a compassionate, caring, and ...

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How much do health informatics jobs pay per year?

As of Sep 11, 2026, the average yearly pay for health informatics in Indiana is $78,771.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,200.00 and $93,700.00 per year, depending on experience, location, and employer.

What is health informatics?

Health informatics is the interdisciplinary field that combines healthcare, information technology, and data management to improve patient outcomes and healthcare delivery. Professionals in this field design and implement systems that store, retrieve, and analyze health data, making it easier for healthcare providers to make informed decisions. Health informatics includes areas such as electronic health records, data analytics, telemedicine, and health information exchange. The goal is to enhance the efficiency, accuracy, and accessibility of healthcare information for both providers and patients.

What are different types of health informatics careers?

The different types of health informatics careers include informatics analysts, nutrition and pharmacy informatics specialists, clinical informaticists, and informatics managers. The specific duties of each of these careers vary slightly, but many of the responsibilities are similar. Some of your responsibilities in these careers are to monitor patient data and analyze it to provide more accurate patient histories and information about their medications to clinical care professionals and help develop new systems of data organization and storage. This helps clinicians and other end users access patient records and data more quickly.

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

To thrive as a Health Informatics Specialist, you need a solid background in healthcare systems, data management, and information technology, typically supported by a degree in health informatics, computer science, or a related field. Familiarity with electronic health record (EHR) systems, data analytics software, and industry certifications such as CAHIMS or CPHIMS is important. Strong analytical thinking, attention to detail, and effective communication skills help bridge the gap between clinical staff and IT departments. These skills ensure accurate data management, support informed healthcare decisions, and drive improvements in patient care and organizational efficiency.

What are some common challenges faced by professionals working in health informatics, and how can they be addressed?

Professionals in Health Informatics often face challenges such as integrating disparate healthcare data systems, ensuring data privacy and security, and keeping up with rapidly evolving technology standards. Collaboration with IT teams, clinical staff, and administrators is essential to streamline workflows and maintain compliance with regulations like HIPAA. Staying current through professional development, certifications, and industry conferences can help address these challenges and contribute to successful project implementation.

Is healthcare informatics a good degree?

Healthcare informatics is a valuable degree for those interested in health data management, electronic health records, and health IT systems. It prepares graduates for roles such as health informatics specialists, analysts, and managers, often requiring knowledge of healthcare regulations and technical skills. The field offers strong job growth and opportunities across healthcare providers, technology companies, and government agencies.

Is it hard to find a job in health informatics?

Finding a job in health informatics can be competitive, but demand for professionals with skills in electronic health records, data analysis, and health IT is growing. Relevant certifications and a strong understanding of healthcare systems can improve job prospects.

What is a career in health informatics?

A career in health informatics involves managing and analyzing healthcare data to improve patient care, often requiring knowledge of healthcare systems, data management, and technology tools like electronic health records. Professionals in this field may work as analysts, specialists, or managers in healthcare settings, and certifications such as Certified Health Data Analyst (CHDA) can enhance job prospects.
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Health Informatics jobs near you
Infographic showing various Health Informatics job openings in Indiana as of September 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $78,771 per year, or $37.9 per hour.

Postdoctoral Fellow in Biostatistics & Health Data Science

Kokomo, IN • On-site

Indiana University Academic Positions
See more jobs at Indiana University Academic Positionsexternal

$42K - $58K/yr

Full-time

Re-posted 14 hours ago

Job description

Position Details
Title Postdoctoral Fellow in Biostatistics & Health Data Science Specific Title Appointment Type Postdoctoral Fellow Department IUSM - Biostatistics Campus IU School of Medicine Indianapolis Position Summary
Research Context & Opportunity-
Modern healthcare increasingly depends on integrating data across hospitals, registries, cohorts, and public health systems. Yet semantic heterogeneity-differences in terminology, structure, and logic-remains a central barrier to reusability, interoperability, and reproducibility.
This postdoctoral position addresses a fundamental and timely research question:
How can Large Language Models (LLMs) and intelligent agents support transparent, scalable, and auditable clinical data harmonization?

We are particularly interested in:
  • LLM-driven systems for aligning real-world health data to standards like OMOP CDM, FHIR, and UMLS
  • Agent-based workflows that explain, refine, and adapt semantic mappings over time
  • Hybrid architectures that combine knowledge-grounded reasoning with flexible machine learning
  • Tools that reduce manual burden while preserving traceability and clinical interpretability
This position offers the opportunity to publish novel methods, work with real messy multi-source data, and contribute to infrastructure supporting population-level research and health equity.
The postdoctoral fellow will be based in the Department of Biostatistics and Health Data Science at Indiana University School of Medicine, in close collaboration with the Regenstrief Institute, a nationally renowned center for health informatics research and real-world data infrastructure.
  • Indiana University is home to one of the largest medical schools in the U.S., with extensive collaborations across informatics, clinical departments, and health systems (IU Health, Eskenazi Health, etc.).
  • Regenstrief Institute is internationally recognized for its leadership in data standards (e.g., LOINC), clinical data networks (e.g., Indiana Network for Patient Care), and health information infrastructure.
  • This environment supports both methodological research and operational implementation across state, national, and multi-institutional networks (e.g., NIH, OHDSI, PCORnet, ACT Network).
Our Team's Approach-
We are not a pure research group. We operate at the interface of research and health data operations, building methods that not only publish but also deploy. We handle real clinical and public health data problems where ambiguity, variation, and scale are the norm-not the exception.
We welcome postdocs who want to drive innovation while engaging deeply with practical, meaningful data challenges.
Responsibilities

  • Design and implement LLM-based methods for clinical data harmonization, semantic normalization, and ontology alignment
  • Develop multi-agent or RAG-style (retrieval-augmented generation) workflows for schema matching and terminology mapping
  • Collaborate with national and multi-institutional initiatives in data integration and standardization
  • Support open-source tooling, reproducible pipelines, and standards-based approaches (e.g., OMOP, FHIR, UMLS)
  • Lead or support manuscript preparation and dissemination at top informatics and AI venues
  • Contribute to grant development and proposal writing

What We Offer-
  • A collaborative environment at the intersection of real-world data, applied AI, and translational science
  • Opportunities to work across academic, clinical, and public health settings
  • Mentorship and support toward independent research or career development in academia or industry
  • Competitive salary and benefits through Indiana University
  • A culture that values both scientific innovation and practical impact

The Indianapolis Campus is the focal point of health professions education at Indiana University, and the School of Medicine is the country's second largest allopathic medical school. Indianapolis consistently ranks high nationally on many of the "best places to live" lists and has an economy that is growing in the life sciences arena. In addition, it has always been one of the cities with the lowest cost of living. Carmel, Indy's northern neighbor, was recently named as the best mid-sized city in the country.
IUSM is committed to being a welcoming campus community and we seek candidates whose research, teaching, and community engagement efforts contribute to robust learning and working environments for all students, staff, and faculty. We invite individuals who will join us in our mission to improve health equity and well-being for all throughout the state of Indiana.
Indianapolis is the capital and most populous city in the State of Indiana. It is growing economically thanks to a strong corporate base anchored by the life sciences. Indiana is home to one of the largest concentrations of health sciences companies in the nation. Indianapolis has a sophisticated blend of charm and culture with a wonderful balance of business and leisure. The growing residential base is supported by rich amenities and quality of life - the city possesses a variety of professional sports, arts venues and outdoor recreation areas. Residents of this dynamic city, and surrounding suburbs, enjoy leading educational systems and top-ranked universities, paired with a diverse population. Indianapolis International Airport is a top-ranked international airport, being named "Best Airport in North America" by Airports Council International for many years. For additional information on life in Indy: https://faculty.medicine.iu.edu/relocation. The search will continue until the positions are filled. 
Basic Qualifications
Required Qualifications:
  • Ph.D. (by start date) in Computer Science, Biomedical Informatics, Health Data Science, Biostatistics, or a closely related area.
  • Strong ML/deep learning foundation plus expertise in at least one of: multimodal learning, time-series modeling, or NLP.
  • Demonstrated working experience with healthcare data (e.g., EHR, clinical text, imaging, omics).
  • Proficiency in Python and ML tooling (e.g., PyTorch, scikit-learn), version control (Git), and experiment tracking (e.g., Weights & Biases).
  • Excellent written and oral communication skills, and ability to collaborate with multidisciplinary teams.
Department Contact for Questions
Professor Jiang Bian via email at: bianj@regenstrief.org
Additional Qualifications
Preferred Qualifications:
  • Experience with concept normalization, ontology mapping, or schema alignment
  • Familiarity with LLM agents, tool-augmented reasoning, or hybrid rules + LLM systems
  • Record of publications in relevant domains (informatics, machine learning, AI, knowledge representation)
  • Experience with multi-site data harmonization or federated data environments
Special Instructions Priority Application Review Deadline Expected Start Date Posting Number IUSM-02358-2026

Apply