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Healthcare Machine Learning Jobs in Indiana (NOW HIRING)

TVG-Medulla, LLC

Healthcare Assistant

Indianapolis, IN · On-site

$15.25 - $19.25/hr

You love learning, crave purpose in your work, and find joy in helping others thrive. You're ... No Healthcare Experience? That's Okay . We provide paid virtual and hands-on training and ...

TVG-Medulla, LLC

Healthcare Assistant

Indianapolis, IN · On-site

$15.25 - $19.25/hr

You love learning, crave purpose in your work, and find joy in helping others thrive. You're ... No Healthcare Experience? That's Okay . We provide paid virtual and hands-on training and ...

Whiterabbit.ai

... deep learning research * Work with doctors and healthcare professionals to identify serious ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Whiterabbit.ai

... deep learning research * Work with doctors and healthcare professionals to identify serious ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Whiterabbit.ai

... deep learning research * Work with doctors and healthcare professionals to identify serious ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Whiterabbit.ai

... deep learning research * Work with doctors and healthcare professionals to identify serious ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Whiterabbit.ai

... deep learning research * Work with doctors and healthcare professionals to identify serious ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

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Showing results 21-40

All JobsHealthcare Machine Learning JobsHealthcare Machine Learning Jobs in Indiana

Healthcare Machine Learning information

See Indiana salary details

$10.5K

$93.3K

$152.7K

How much do healthcare machine learning jobs pay per year?

As of Sep 13, 2026, the average yearly pay for healthcare machine learning in Indiana is $93,253.00, according to ZipRecruiter salary data. Most workers in this role earn between $20,900.00 and $152,200.00 per year, depending on experience, location, and employer.

What is a healthcare machine learning?

A Healthcare Machine Learning job involves developing and applying machine learning models to analyze medical data and improve healthcare outcomes. Professionals in this role work with electronic health records, medical imaging, genomics, and other healthcare data to assist in disease prediction, diagnosis, and personalized treatments. They collaborate with clinicians, data scientists, and engineers to ensure models are clinically relevant and ethically sound. Strong knowledge of machine learning, data preprocessing, and regulatory compliance (such as HIPAA) is essential.

What are the key skills and qualifications needed to thrive in healthcare machine learning?

To thrive in Healthcare Machine Learning, you need strong expertise in data science, machine learning algorithms, and biomedical informatics, often supported by an advanced degree in computer science, statistics, or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and healthcare data standards (like HL7 or FHIR) is highly beneficial, and certifications in data science or health informatics can provide an edge. Excellent problem-solving skills, attention to detail, and the ability to communicate complex technical concepts to diverse healthcare teams are valuable soft skills. These competencies are vital for developing robust, ethically sound machine learning solutions that improve clinical decision-making and patient outcomes.

What are some common challenges faced by professionals working in healthcare machine learning?

Professionals in Healthcare Machine Learning often encounter challenges such as navigating complex, unstructured, or incomplete healthcare data while ensuring strict compliance with privacy regulations like HIPAA. They must also bridge the gap between technical requirements and clinical needs, collaborating closely with medical professionals who may not have a technical background. Additionally, validating and interpreting machine learning models for real-world clinical use adds another layer of complexity, as solutions must be both accurate and explainable. Overcoming these challenges requires strong technical skills, effective teamwork, and a commitment to ethical, patient-centered solutions.

What does machine learning do in healthcare?

Healthcare machine learning involves developing algorithms that analyze medical data to assist in diagnosis, treatment planning, and predicting patient outcomes. Professionals in this field use tools like Python and TensorFlow, and often require knowledge of medical terminology and data privacy regulations to improve healthcare delivery.

What are popular job titles related to Healthcare Machine Learning jobs in Indiana?

For Healthcare Machine Learning jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Healthcare Machine Learning jobs in Indiana look for?

The top searched job categories for Healthcare Machine Learning jobs in Indiana are:

Healthcare Machine Learning jobs near you
Infographic showing various Healthcare Machine Learning job openings in Indiana as of August 2026, with employment types broken down into 2% As Needed, 71% Full Time, 13% Part Time, and 14% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $93,253 per year, or $44.8 per hour.

Senior Machine Learning Engineer

Warsaw, IN • On-site

United States Digital Space LLC
See more jobs at United States Digital Space LLCexternal

$88K - $121K/yr

Other

Posted 25 days ago

Key responsibilities

  • Implement cutting-edge machine learning algorithms for personalization in gaming and test their effectiveness.

  • Design, develop, and evaluate experiments and prototypes to assess new AI models and translate research findings into production code.

  • Monitor and analyze player data to identify opportunities for personalization and optimize existing algorithms.

Job description

Who are we?

Tripledot Studios is one of the largest independent mobile games companies in the world.

We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios.

Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users.

Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others.

We’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games.

Our ambition is to be the most successful games company in the world, and we’re just getting started.

The role is working within our AI group

The group AI team is a central function that works both with other central groups like marketing and game solutions and the game studios which are part of Tripledot. Within the group AI team, you’ll be working with other AI/ ML Eng, Data engineers, analysts and product owners.

Role Overview

Within the various studios and other central teams, you will interact with data, engineering, and product teams. The role will be directly contributing to main games KPIs such as retention, revenue, player experience, as well as to company efficiency and time to market in developing games and features. Progression opportunities will be within the AI group or to studios in the group.

Key Responsibilities

  • Implement cutting-edge ML algorithms for personalization in gaming, staying abreast of the latest advancements in the field, and testing to see what works best for our games and data.
  • Designing experiments and prototypes to test the viability and efficiency of new AI models.
  • Translate research findings into real-world applications by creating algorithm prototypes in our codebase.
  • Convert prototypes into production level code that can be easily managed and deployed through the ML Lifecycle.
  • Design, develop, and evaluate A/B tests to measure the effectiveness of personalisation algorithms and optimise player experience.
  • Continuously monitor and analyse player data to identify new opportunities for personalisation and improve existing algorithms.
  • Document your work clearly and concisely, fostering knowledge sharing within the team.

What we’re looking for

  • A Bachelor's degree or higher in a quantitative field (e.g., computer science, mathematics, statistics), another quantitative applied field or equivalent experience.
  • Strong understanding of industry standard ML techniques (from classification to reinforcement learning and generative methods)
  • Experience in applying machine learning algorithms to solve real-world problems.
  • Experience with software development concepts like CI/CD, Version Control, Containers (Docker & Kubernetes) and proven track record of deploying ML models to production and established MLOps concepts.
  • A good command of analytical programming and visualisation languages and libraries (SQL, python, matplotlib, etc.) as well as some of the supporting tools and platforms (e.g. git, MLFlow, Kubernetes, Kubeflow, Trino, AirFlow).
  • A strong understanding of statistical concepts (hypothesis testing, sampling, probability distributions).
  • Excellent communication and collaboration skills to effectively bridge the gap between technical and non-technical teams.
  • Experience with using generative AI copilots or agents in daily development work.
  • A passion for mobile gaming and a strong desire to create engaging player experiences and drive business results.

Bonus points if you also have:

  • Experience with more complex ML techniques (e.g. Reinforcement Learning).
  • Experience with A/B testing methodologies in an online gaming context.
  • Experience working in the games industry.

Working at Tripledot

  • 26 days paid holiday in addition to bank holidays to relax and refresh throughout the year
  • 20 days remote working: Work from anywhere in the world, or use the time to cover mandatory office days to WFH, 20 days of the year.
  • Regular company events and rewards: Join in regular events and rewards that celebrate cultural events, our achievements and our team spirit.
  • Private Medical Cover with Luxmed: Have peace of mind with private medical cover, ensuring your and your family's health is in good hands.
  • Daily Free Lunch: When working in the office order free food from Pyszne.pl
  • Multisport Plus Card: Enjoy access to various sports facilities across Warsaw with the Multisport Plus Card.
  • Employee Assistance Program: Anytime you need it, tap into confidential, caring support with our Employee Assistance Program, always here to lend an ear and a helping hand.
  • Family Forming Support: Receive vital support on your family forming/ fertility journey with our support program [subject to policy]
  • Continuous Professional Development: Propel your career with continuous opportunities for professional development.
  • English & Polish Classes: Improve your language skills with access to English and Polish classes.

This organization operates in compliance with the Whistleblower Act, for more information or to report violations please email -----

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