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Imaging Informatics Jobs in Indiana (NOW HIRING)

Eli Lilly

Data Architect, Data Foundry

Indianapolis, IN · On-site

$61 - $78.50/hr

Architect specialized data solutions: array databases (TileDB) for genomics/imaging, document ... S. with 5+ years of data architecture, data engineering, or scientific informatics' experience.

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Imaging Informatics information

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$49.5K

$111.6K

$284.5K

How much do imaging informatics jobs pay per year?

As of Jul 2, 2026, the average yearly pay for imaging informatics in Indiana is $111,601.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,000.00 and $129,400.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals in Imaging Informatics roles?

Professionals in Imaging Informatics often encounter challenges related to integrating various imaging systems, maintaining data security and patient privacy, and ensuring compatibility across different healthcare technologies. Another frequent challenge is balancing the technical needs of IT with the clinical requirements of radiologists and other healthcare providers. Close collaboration with multiple departments and continuous learning about new imaging software and regulations are essential aspects of the job. Being proactive and adaptable helps Imaging Informatics specialists navigate these hurdles effectively and ensures consistent, high-quality support for medical imaging operations.

What are the key skills and qualifications needed to thrive in the Imaging Informatics position, and why are they important?

To thrive in Imaging Informatics, you need a strong background in medical imaging technologies, data management, and healthcare IT, often supported by a degree in health informatics, computer science, or a related field. Familiarity with PACS, DICOM standards, RIS, and certifications such as CIIP (Certified Imaging Informatics Professional) are highly valued. Strong problem-solving abilities, communication skills, and an aptitude for teamwork help professionals excel when bridging clinical and technical teams. These competencies are critical to ensure safe, effective management of imaging data and support clinical care delivery.

Which imaging job pays the most?

In imaging informatics, senior roles such as Imaging Informatics Managers or Directors tend to have the highest salaries, often exceeding $100,000 annually. Specialized positions requiring advanced technical skills, certifications, and leadership responsibilities generally offer higher compensation.

How to get into imaging informatics?

To enter imaging informatics, candidates typically need a background in healthcare, computer science, or information technology, along with knowledge of medical imaging systems like PACS and DICOM standards. Earning relevant certifications such as Certified Imaging Informatics Professional (CIIP) or gaining experience with healthcare IT tools can improve job prospects. Strong analytical skills and understanding of clinical workflows are also valuable for this field.

What is an Imaging Informatics job?

An Imaging Informatics job focuses on managing and optimizing medical imaging systems, such as Picture Archiving and Communication Systems (PACS) and Radiology Information Systems (RIS). Professionals in this field ensure efficient storage, retrieval, and sharing of medical images while maintaining data integrity, security, and compliance with healthcare regulations. They collaborate with radiologists, IT teams, and healthcare providers to integrate imaging technologies with electronic health records (EHR) and improve workflow. This role requires a mix of technical expertise, problem-solving skills, and knowledge of medical imaging standards like DICOM and HL7.

Is CIIP certification worth it?

For imaging informatics professionals, CIIP (Certified Imaging Informatics Professional) certification can enhance credibility and demonstrate expertise in imaging informatics, including knowledge of PACS, DICOM standards, and healthcare IT systems. While not always required, it may improve job prospects and salary potential in the field. The value depends on individual career goals and employer preferences.

What does imaging informatics do?

Imaging informatics involves managing and analyzing medical images and related data using specialized software and systems. Professionals in this field ensure accurate image storage, retrieval, and integration with electronic health records, often working with tools like PACS and DICOM standards. They support clinical decision-making and improve workflow efficiency in healthcare settings.
What are the most commonly searched types of Imaging Informatics jobs in Indiana? The most popular types of Imaging Informatics jobs in Indiana are:
What are popular job titles related to Imaging Informatics jobs in Indiana? For Imaging Informatics jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Imaging Informatics jobs in Indiana look for? The top searched job categories for Imaging Informatics jobs in Indiana are:
What cities in Indiana are hiring for Imaging Informatics jobs? Cities in Indiana with the most Imaging Informatics job openings:
Imaging Informatics jobs near you
Infographic showing various Imaging Informatics job openings in Indiana as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $111,601 per year, or $53.7 per hour.

Postdoctoral Fellow in Biostatistics and Health Data Science

Indiana University Academic Positions

Kokomo, IN • On-site

$42K - $58K/yr

Other

Posted 12 days ago

Job description

Position Details
Title Postdoctoral Fellow in Biostatistics and Health Data Science Specific Title Appointment Type Postdoctoral Fellow Department IUSM - Biostatistics Campus IU School of Medicine Indianapolis Position Summary
Postdoctoral Researcher to advance research at the intersection of artificial intelligence for healthcare, multimodal data analysis (EHRs, medical imaging, omics, physiological signals, clinical notes), and causal AI (causal inference, discovery, counterfactual reasoning). The successful candidate will collaborate with an interdisciplinary team of computer scientists, biomedical informaticians, clinicians, and public health researchers to develop deployable, trustworthy methods that improve patient outcomes and health system operations.
Key responsibilities include:
  • Lead original research in multimodal and causal AI for health; design, implement, and rigorously evaluate algorithms and full pipelines.
  • Build reproducible research pipelines and maintain reliable experiment codebases (prefer Python).
  • Apply causal inference and discovery frameworks to clinical questions.
  • Translate proposed methods and frameworks into real-world clinical workflows.
  • Contribute to grant proposals and research reports.

This is an exciting opportunity to join a fast growing BHDS Department with 36 faculty members and more than 50 professional staff. We are dedicated to excellence in biostatistical, health data science, and informatics research and education. We have an extensive portfolio of research program in related areas. Our NIH funding as principal investigators and co-investigators has been ranked among the top in the nation. The Department currently has an ongoing PhD program in Biostatistics, MS program in Biostatistics, and BS program in Health Data Science.
We have established strong collaborations with both clinical and basic science research departments and divisions and health systems including IU Health and Eskenazi Hospitals as well as strong partnerships with major research institutes and centers including Regenstrief Institute, Center for Computational Biology and Bioinformatics, Indiana Clinical and Translational Science Institute (CTSI), Indiana University Simon Comprehensive Cancer Center, Indiana Institute of Biomedical Research, and Indiana Alzheimer's Disease Research Center. Additional details about the Department and the PhD program are available on our web page: https://medicine.iu.edu/biostatistics.
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.
Preferred Qualifications:
  • Experience with LLMs/foundation models (e.g., clinical NLP, retrieval-augmented generation, instruction tuning) and multimodal transformers.
  • Solid understanding of causal methods (e.g., propensity scores, IPW, matching) and/or causal discovery.
  • Familiarity with data engineering and MLOps (e.g., SQL, Spark, Airflow, Docker, Kubernetes).
  • Knowledge of responsible/ethical AI for health: fairness/equity, interpretability, robustness, privacy (e.g., differential privacy, federated learning).
  • Track record of first-author publications in relevant venues and collaborative open-source contributions.

Department Contact for Questions
Professor Jiang Bian via email at: bianj@regenstrief.org
Additional Qualifications Special Instructions Priority Application Review Deadline Expected Start Date Posting Number IUSM-02286-2025

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