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Healthcare Informatics Jobs in Indiana (NOW HIRING)

Data Science Tutor

Valparaiso, IN · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

Bloomington, IN · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Showing results 41-60

Healthcare Informatics information

See Indiana salary details

$17.1K

$78.8K

$127K

How much do healthcare informatics jobs pay per year?

As of Aug 20, 2026, the average yearly pay for healthcare 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 healthcare informatics?

Healthcare informatics is the interdisciplinary field that integrates information technology, computer science, and healthcare to manage and analyze health data. Professionals in this field work to improve patient care, enhance healthcare delivery, and support clinical decision-making by designing and maintaining information systems. Healthcare informatics covers a wide range of activities, from implementing electronic health records to analyzing health trends and ensuring data security. The goal is to make healthcare more efficient, effective, and patient-centered through better use of information.

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

Healthcare Informatics professionals often encounter challenges related to integrating diverse healthcare data systems and ensuring data accuracy and security. Navigating regulatory requirements like HIPAA and staying updated with evolving technologies can also be demanding. These challenges can be addressed by fostering strong collaboration between IT and clinical teams, pursuing ongoing professional development, and adhering to best practices in data governance. Proactively engaging in cross-functional projects helps build a holistic understanding of workflows and improves the successful implementation of informatics solutions.

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

To thrive as a Healthcare Informatics Specialist, you need a solid understanding of health information systems, data analytics, and healthcare workflows, often supported by a degree in health informatics or a related field. Familiarity with electronic health records (EHR) platforms, data management tools, and certifications like CAHIMS or CPHIMS is highly valuable. Strong analytical thinking, problem-solving, and communication skills help bridge the gap between clinical staff and IT teams. These skills are crucial for optimizing patient care, ensuring regulatory compliance, and improving healthcare operations through effective data use.

What is the difference between Healthcare Informatics vs Medical Coding?

AspectHealthcare InformaticsMedical Coding
Required CredentialsBachelor's or Master's in Health Informatics, certifications like CHI or CPHIMSCertification such as CPC, CCS, or CCS-P; often requires coding certification
Work EnvironmentHospitals, clinics, health IT companies, government agenciesHospitals, physician offices, billing companies
Industry UsageDesigning and managing health information systems, data analysisTranslating medical records into standardized codes for billing

Healthcare Informatics focuses on managing health information systems and data analysis, requiring advanced degrees and certifications. Medical Coding involves translating medical documentation into codes for billing, often requiring specific coding certifications. While both roles are vital in healthcare, they differ in scope, skills, and daily tasks, with Healthcare Informatics emphasizing system management and Medical Coding concentrating on documentation coding.

Is healthcare informatics a good degree?

Healthcare informatics is a valuable degree for those interested in managing health data, improving patient care, and working with electronic health records. It prepares graduates for roles that require knowledge of health IT systems, data analysis, and healthcare regulations, often leading to stable employment in healthcare organizations. The degree can also support certification opportunities like Certified Health Data Analyst (CHDA).

What degree is needed for healthcare informatics?

Healthcare informatics professionals typically need at least a bachelor's degree in health information management, health informatics, computer science, or a related field. Many roles prefer or require a master's degree such as a Master of Health Informatics (MHI) or Master of Science in Health Informatics to qualify for advanced positions and responsibilities.

What is a healthcare informatics career?

A healthcare informatics career involves managing and analyzing health data to improve patient care, often requiring skills in data management, health information systems, and knowledge of healthcare regulations. Professionals in this field work with electronic health records (EHRs), clinical workflows, and health IT tools to support decision-making and healthcare delivery. Certifications like Certified Health Data Analyst (CHDA) or Health Informatics certifications can enhance job prospects.

What are the most commonly searched types of Healthcare Informatics jobs in Indiana?

The most popular types of Healthcare Informatics jobs in Indiana are:

What cities in Indiana are hiring for Healthcare Informatics jobs?

Cities in Indiana with the most Healthcare Informatics job openings:

Infographic showing various Healthcare Informatics job openings in Indiana as of August 2026, with employment types broken down into 3% As Needed, 66% Full Time, 16% Part Time, and 15% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $78,771 per year, or $37.9 per hour.

Data Science Tutor

Varsity Tutors

Valparaiso, IN • Remote

$18 - $40/hr

Part-time

Re-posted 18 days ago


Varsity Tutors rating

5.7

Company rating: 5.7 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

14th of 24 rated private schools and tutoring


Job description

About the Job
The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the flexibility to set your own schedule, earn competitive rates, and make a real impact on students' academic success and understanding. All from the comfort of your home.
Why Join Our Platform?
  • Earn incrementally higher pay for each session with the same student, reaching up to $40/hour.
  • Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions you conduct and invoice.
  • Set your own hours and tutor as much as you'd like.
  • Tutor remotely using our purpose-built Live Learning Platform. No commuting required.
  • Get matched with students best-suited to your teaching style and expertise.
  • Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson generation, and engagement features, helping you save prep time and focus on impactful teaching.
  • We handle the logistics—you just invoice for your tutoring sessions, and we take care of payments.

What We Look For In a Data Science Tutor
  • Advanced Subject Mastery: Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data-driven insights. Ability to explain probability distributions, regression analysis, A/B testing, and data pipeline design while preparing students for data science roles, analytics careers, and graduate programs.
  • Conceptual Teaching & Problem-Solving: Skilled at teaching the full data science workflow from question formulation through insight communication. Guides students through data cleaning with Pandas, exploratory analysis with visualization libraries, building predictive models, conducting statistical tests, and creating compelling data presentations. Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics.
  • Curriculum Awareness & Adaptive Instruction: Familiar with data science curricula and bootcamp programs, and common challenges such as data cleaning complexity, selecting appropriate statistical tests, and communicating technical findings to non-technical stakeholders. Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows to support students from introductory data literacy through advanced analytics and machine learning implementation.
  • Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet individual learning needs and styles.
  • Strong communication skills and a friendly, engaging teaching style.
  • Ability to adapt to different learning styles and student needs.

Ways To Connect With Students
  • 1-on-1 Online Tutoring - Provide personalized instruction to individual students.
  • Instant Tutoring - Accept on-demand tutoring requests whenever you're available.

About Varsity Tutors And 1-on-1 Online Tutoring
Our mission is to transform the way people learn by leveraging advanced technology, AI, and the latest in learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students receive customized instruction that helps them achieve their learning goals. Our platform is designed to match students with the right tutors, fostering better outcomes and a passion for learning.
Please note: Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West Virginia or Puerto Rico.

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