1

Data Scientist Volunteer Jobs in Indiana (NOW HIRING)

Operations Data Analyst

Indianapolis, IN · On-site

$59.69 - $70.22/hr

Bachelor's degree in Business, Marketing, Healthcare Administration, Data Science, or a related ... voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity ...

This role involves hands-on testing, data analysis, and problem-solving to enhance material ... Life Insurance (Voluntary Life & AD&D for the employee and dependents) * Short and long-term ...

This role involves hands-on testing, data analysis, and problem-solving to enhance material ... Life Insurance (Voluntary Life & AD&D for the employee and dependents) * Short and long-term ...

... voluntary benefits and resources Responsibilities Incumbent performs duties according to a flexible ... Thorough knowledge of concepts, practices, and procedures of data science and analysis, with strong ...

Beyond monetary giving and employee volunteerism, STAR is dedicated to partnering with the people ... Lead, coach, and develop a team of 2 to 5 data analysts, data scientists, BI developers, and ...

Beyond monetary giving and employee volunteerism, STAR is dedicated to partnering with the people ... Lead, coach, and develop a team of 2 to 5 data analysts, data scientists, BI developers, and ...

New

next page

Showing results 1-20

Data Scientist Volunteer information

What is a data scientist volunteer?

A Data Scientist Volunteer is an unpaid role where individuals apply data science skills, such as data analysis, machine learning, and statistical modeling, to support organizations. These volunteers often work with nonprofits, research institutions, or startups to analyze data, create insights, and support decision-making. It’s a great way to gain experience, contribute to meaningful projects, and build a portfolio while helping a cause.

What types of projects do data scientist volunteers typically work on, and how do they collaborate with other team members?

Data Scientist Volunteers often contribute to projects such as analyzing trends in nonprofit impact data, building predictive models for resource allocation, or creating dashboards to help organizations visualize their results. They usually work closely with program managers, IT staff, and other volunteers to understand data needs and deliver solutions that are aligned with organizational goals. Communication and collaboration are key, as volunteers frequently need to explain data-driven insights to team members who may not have technical backgrounds. As a volunteer, you can expect to gain practical experience on cross-functional teams, tackling real-world challenges while making a meaningful impact.

What are the key skills and qualifications needed to thrive in the data scientist volunteer position, and why are they important?

To thrive as a Data Scientist Volunteer, you need a solid grounding in statistics, mathematics, and data analysis, often supported by a relevant degree or coursework. Familiarity with tools like Python, R, SQL, and experience with data visualization software and machine learning libraries is typical, while certifications in data science or analytics can be advantageous. Strong communication, teamwork, and problem-solving abilities set you apart, especially when working within diverse or resource-limited teams. These skills are crucial for effectively deriving insights from data and delivering actionable solutions that support an organization's mission.

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

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

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

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

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

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

What cities in Indiana are hiring for Data Scientist Volunteer jobs?

Cities in Indiana with the most Data Scientist Volunteer job openings:

Infographic showing various Data Scientist Volunteer job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution.

Health Data Science/AI Associate

Indianapolis, IN • On-site

Regenstrief Institute
Scientific Research and Development Services • 51 - 200 employees

$56K - $56K/yr

Full-time

Life, Retirement, PTO

Posted 14 days ago


Job description

POSITION PURPOSEWorking alongside experienced data engineers, analysts, investigators, and scientists, associates contribute directly to meaningful research projects while developing technical expertise, professional skills, and an understanding of modern health data science.Projects are selected to align with each extern's strengths, interests, and career goals while providing opportunities to expand knowledge across cloud computing, AI, data engineering, clinical data analysis, and health informatics.

New graduates and early-career professionals are strongly encouraged to apply. Prior professional experience is welcomed but not required. This is a six-month role, with the possibility to extend to a second six-month period.

This position is a hybrid position with at least one (1) to two (2) days of onsite activity based on business needs. This position is located in downtown Indianapolis IN.   ESSENTIAL DUTIES AND RESPONSIBILITIESUnder the guidance of supervisors and scientific mentors, the extern may:
  • Participate as an active member of multidisciplinary project teams supporting health research initiatives.
  • Assist with the engineering, preparation, transformation, and analysis of large clinical and administrative datasets.
  • Develop and maintain SQL and Python code to support data extraction, integration, quality improvement, and analytics.
  • Contribute to cloud-based data engineering initiatives supporting AI-ready infrastructure.
  • Assist in implementing and improving data pipelines, workflows, and automated processes.
  • Support the development, evaluation, and responsible use of AI-enabled tools that improve research and operational efficiency.
  • Work with health data standards and common data models, including concepts such as OMOP and HL7/FHIR.
  • Participate in data validation, quality assurance, and documentation activities to ensure reproducibility and integrity.
  • Prepare technical documentation, process documentation, and project summaries.
  • Present project updates and findings to mentors, supervisors, and project teams.
  • Participate in team meetings, knowledge-sharing activities, and professional development opportunities.
  • Demonstrate appropriate stewardship of sensitive health information while adhering to security, privacy, and compliance requirements.
  • Perform other related duties as assigned.
QUALIFICATIONSRequired EducationRequires at least a Bachelor's degree in one of the following (or a closely related field):
  • Data Science
  • Health or Biomedical Informatics
  • Computer Science
  • Data Engineering
  • Statistics
  • Information Science
  • Applied Mathematics
  • Related quantitative discipline
Required Qualifications
  • Coursework, academic research, internships, or project experience involving programming, data analysis, AI, or data science.
  • Basic proficiency with SQL, Python, or another programming language.
  • Demonstrated analytical thinking and problem-solving skills.
  • Strong written and verbal communication skills.
  • Ability to collaborate effectively with mentors, scientists, engineers, analysts, and project teams.
  • Ability to prepare technical documentation and communicate technical concepts clearly.
  • Intellectual curiosity, initiative, and willingness to learn new technologies.
  • Commitment to protecting confidential and sensitive health information.
PREFERRED QUALIFICATIONSPreference may be given to candidates with exposure to one or more of the following:
  • Cloud computing platforms
  • Machine learning or artificial intelligence
  • Clinical or healthcare data
  • Data visualization tools
  • Git or source code management
  • Health data standards such as OMOP, HL7, or FHIR
CORE COMPETENCIESSuccessful externs demonstrate:
  • Learning Agility
  • Analytical Thinking
  • Collaboration
  • Communication
  • Accountability
  • Curiosity and Innovation
  • Professionalism
  • Adaptability
  • Continuous Improvement
PHYSICAL DEMANDSThe physical demands described here are representative of those an individual can expect while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform these functions.
  • Ability to sit and/or stand for extended periods.
  • Manual dexterity sufficient to operate a computer, keyboard, and related office equipment.
  • Occasional lifting or carrying of materials weighing up to 20 pounds.
 WORK ENVIRONMENTThis position operates in a hybrid work environment, combining remote work with on-site work at Regenstrief Institute facilities. Externs collaborate regularly with supervisors, mentors, researchers, and technical staff using both in-person and virtual collaboration tools.BENEFITS OF WORKING HERE 
  • Work with a variety of diverse professionals in the healthcare industry
  • Free parking
  • Paid holidays, vacation, and sick time
  • Group Life and Voluntary Term Life insurance
  • Long-term and Short-term Disability plans
  • Employee Assistance Program (EAP)
  • Flexible Spending Account (FSA)
  • 403b Retirement Plan with gracious employer contributions
  • Fitness program
  • Pet insurance
  • Qualified employer for loan forgiveness
Please note sponsorship and/or relocation are not available for this position. REGENSTRIEF INSTITUTE REQUIRES ALL EMPLOYEES TO RECEIVE THE INFLUENZA VACCINATION ANNUALLY UNLESS APPROVED FOR EXEMPTION.