Health Data Science/AI Associate

Working 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., Under 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.

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., Required Education

Requires 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, * 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 QUALIFICATIONS

Preference 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, * Learning Agility
• Analytical Thinking
• Collaboration
• Communication
• Accountability
• Curiosity and Innovation
• Professionalism
• Adaptability
• Continuous Improvement

PHYSICAL DEMANDS

The 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.

Pulled from the full job description Loan forgiveness Pet insurance 403(b) Flexible spending account Life insurance Employee assistance program Free parking

This 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.