ZipRecruiter

Log In

1

Health Data Scientist Jobs in Indiana (NOW HIRING)

RADcube - A NLogix Company

Data Scientist

Indianapolis, IN · On-site

$110 - $160/hr

With nearly a decade of industry experience, RADcube serves diverse sectors, including healthcare, ... Data Scientist Hybrid - Indianapolis, IN About the Role We are seeking a Data Scientist with 3-5 ...

United States Digital Space LLC

Data Scientist

Warsaw, IN · On-site

$85.37 - $96.85/hr

Data Scientist The Data Science team helps us fulfill our mission by informing strategy, defining ... Health insurance with dental and travel coverage (Lux Med) * Meals reimbursement on the days that ...

Elevance Health

Data Scientist

Indianapolis, IN · Hybrid

Data Scientist Data Scientist Location: This role requires associates to be in-office 1-2 days per ... Who We Are Elevance Health is a health company dedicated to improving lives and communities - and ...

Elevance Health

Data Scientist

Indianapolis, IN · Hybrid

Data Scientist Location: This role requires associates to be in-office 1-2 days per week, fostering ... Please be advised that Elevance Health only accepts resumes for compensation from agencies that ...

Elevance Health

Data Scientist Senior

Indianapolis, IN · Hybrid

RDA > Data Science Please be advised that Elevance Health only accepts resumes for compensation from agencies that have a signed agreement with Elevance Health. Any unsolicited resumes, including ...

Elevance Health

Data Scientist Senior

Indianapolis, IN · On-site

RDA > Data Science Please be advised that Elevance Health only accepts resumes for compensation from agencies that have a signed agreement with Elevance Health. Any unsolicited resumes, including ...

USM

Data Scientist

Columbus, IN · On-site

Data Scientist Location: Columbus, IN Duration: 9 weeks Primary Skills: this is a fixed fee project ... Domain knowledge in at least three industries, ideally Finance, Health Care, and Telecommunications.

Elevance Health

Data Scientist Senior

Indianapolis, IN · Hybrid

Data Scientist Senior Location: This role requires associates to be in-office 1 day per week ... PhD and experience in the healthcare sector preferred. Please be advised that Elevance Health only ...

Elevance Health

Data Scientist Senior

Indianapolis, IN · Hybrid

Data Scientist Senior Location: Ideal candidates will be able to report to our Pulse Point location ... Please be advised that Elevance Health only accepts resumes for compensation from agencies that ...

next page

Showing results 1-20

All JobsHealth Data Scientist JobsHealth Data Scientist Jobs in Indiana

Health Data Scientist information

See Indiana salary details

$35.7K

$116.8K

$187K

How much do health data scientist jobs pay per year?

As of Sep 3, 2026, the average yearly pay for health data scientist in Indiana is $116,793.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $129,400.00 per year, depending on experience, location, and employer.

What does a health data scientist do?

A Health Data Scientist analyzes complex healthcare data to improve patient outcomes, optimize operations, and support medical research. They leverage statistical modeling, machine learning, and data visualization to uncover insights from electronic health records, clinical trials, and other health-related sources. Their work helps healthcare providers make data-driven decisions, enhances public health strategies, and contributes to medical innovations. Effective communication and domain knowledge in healthcare are crucial for translating data findings into actionable recommendations.

What types of projects do health data scientists typically work on within healthcare organizations?

Health Data Scientists often work on projects such as analyzing patient outcomes, predicting disease trends, optimizing hospital workflows, and ensuring data quality for clinical research. They may collaborate closely with doctors, nurses, IT professionals, and administrators to translate raw health data into actionable insights that drive improvements in care delivery. Day-to-day tasks can include building predictive models, developing dashboards for real-time data monitoring, and identifying patterns to inform public health initiatives. This collaborative and impactful work environment offers the opportunity to see direct results from your analyses, as your findings can help shape critical healthcare decisions and policies.

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

To thrive as a Health Data Scientist, you need a strong background in statistics, data analysis, and a relevant degree in fields such as data science, public health, or biostatistics. Familiarity with programming languages like Python or R, data visualization tools, and experience with healthcare databases or platforms like SQL and HL7 are often required, with certifications such as Certified Health Data Analyst (CHDA) seen as an asset. Strong problem-solving skills, attention to detail, and the ability to communicate complex findings to non-technical stakeholders help individuals excel. These abilities are critical for extracting valuable insights from health data, supporting decision-making, and improving healthcare outcomes.

What are the most commonly searched types of Health Data Scientist jobs in Indiana?

The most popular types of Health Data Scientist jobs in Indiana are:

What are popular job titles related to Health Data Scientist jobs in Indiana?

For Health Data Scientist jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Health Data Scientist jobs in Indiana look for?

The top searched job categories for Health Data Scientist jobs in Indiana are:

Health Data Scientist jobs near you
Infographic showing various Health Data Scientist job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 18% Part Time, and 6% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $116,793 per year, or $56.2 per hour.

Data Scientist

RADcube - A NLogix Company

Indianapolis, IN • On-site

$110 - $160/hr

Other

Posted 5 days ago

Job description

Indianapolis, United States | Posted on 08/07/2026

Founded in 2015, RADcube is a leading technology consulting and software development firm headquartered in Carmel, Indiana. The company specializes in transforming enterprise ideas into real-world innovations by leveraging emerging technologies such as Artificial Intelligence, Blockchain, and Cloud Computing.

With nearly a decade of industry experience, RADcube serves diverse sectors, including healthcare, finance, government, and manufacturing. Their core service portfolio includes:

  • Digital Transformation and strategy consulting.
  • Custom Software Development tailored to specific business needs.
  • Advanced Data Analytics and AI-driven platforms.
  • Cybersecurity and risk management.

Recognized for its innovation-led culture, RADcube operates RADlabs, an R&D hub focused on high-impact solutions like Responsible AI and Intelligent Automation. The firm is committed to a human-centric approach, ensuring cutting-edge technology delivers measurable business outcomes and long-term success for global clients.

The company’s commitment to innovation has earned significant industry honors:

  • 2026 TechPoint Mira Awards Finalist: Named a finalist for Tech Company of the Year, recognizing high-growth pioneers that demonstrate extraordinary leadership.
  • Public Sector Excellence: Awarded the Utah NASPO Cloud & Software Solutions Contract, solidifying their role as a trusted partner for large-scale government digital initiatives and more.
Job Description Data Scientist Hybrid - Indianapolis, IN About the Role

We are seeking a Data Scientist with 3-5 years of experience working specifically within the pharma industry to join a pharma-focused data team. This role combines applied statistical/ML modeling with strong data engineering fluency, working against large-scale data housed in Databricks and AWS. You will partner with business groups to frame problems, build models and analyses that answer them, and communicate results in terms that drive pharma business decisions.

Key Responsibilities
  • Develop statistical models, machine learning models, and advanced analyses using large-scale datasets in Databricks
  • Access, prepare, and engineer features from data processed through Apache Spark and AWS data services
  • Partner with business groups to understand pharma-specific problems and translate them into data science approaches
  • Build and validate ETL/data pipelines as needed to support modeling and experimentation workflows
  • Communicate modeling results, insights, and recommendations clearly to both technical and non-technical business stakeholders
  • Apply pharma domain knowledge to ensure models and analyses are relevant and interpretable in a business context
  • Collaborate with data engineers and analysts to productionize models and integrate outputs into reporting/decision workflows
  • Monitor model performance over time and iterate as needed
Requirements Required Qualifications
  • 3-5 years of data science / applied statistics / machine learning experience specifically within the pharma industry
  • Hands-on experience with Databricks for data science/ML workflows
  • Working knowledge of AWS data services
  • Strong experience with Big Data processing using Apache Spark, PySpark.
  • Experience building ETL pipelines to support data science workflows
  • Strong Python and SQL skills; experience with ML libraries
  • Demonstrated ability to understand pharma business needs and speak to pharma business groups
  • Strong communication skills with demonstrated ability to present technical findings to business stakeholders
  • Bachelor's or master's degree in data science, Statistics, Computer Science, or a related quantitative field
Preferred Qualifications
  • Experience with Delta Lake, Snowflake, or similar modern data platforms
  • Familiarity with MLOps practices and model deployment/monitoring
  • Prior experience supporting pharma commercial, clinical, or R&D data science functions
#J-18808-Ljbffr

Apply