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Overnight Quant Research Internships Jobs in Indiana

RR

Health Data Science/AI Associate

Indianapolis, IN · On-site

$56K - $56K/yr

Related quantitative discipline Required Qualifications * Coursework, academic research, internships, or project experience involving programming, data analysis, AI, or data science. * Basic ...

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Overnight Quant Research Internships information

What is the difference between Overnight Quant Research Internships vs Quant Research Analyst Internships?

AspectOvernight Quant Research InternshipsQuant Research Analyst Internships
CredentialsTypically require a strong background in mathematics, statistics, or finance; often pursuing a degree in related fieldsSimilar educational requirements; often seeking candidates with quantitative or financial degrees
Work EnvironmentUsually involve remote or overnight work hours, focusing on data analysis and model developmentPrimarily daytime office hours, with hands-on research and collaboration
Industry UsageCommon in hedge funds, proprietary trading firms, and quantitative finance sectorsWidely used in asset management firms, hedge funds, and financial institutions

Overnight Quant Research Internships focus on data analysis and model development during overnight hours, often remotely, while Quant Research Analyst Internships typically involve daytime work in office settings with more direct collaboration. Both roles require strong quantitative skills and are prevalent in finance and trading industries.

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The most popular types of Quant Research Internships jobs in Indiana are:

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Overnight Quant Research Internships jobs near you

Health Data Science/AI Associate

RR

Indianapolis, IN • On-site

$56K - $56K/yr

Full-time

Life, Retirement, PTO

Posted 12 days ago

Job description

POSITION PURPOSE
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.
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 RESPONSIBILITIES
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.

QUALIFICATIONS
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

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 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

CORE COMPETENCIES
Successful externs demonstrate:
  • 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.

WORK ENVIRONMENT
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.
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.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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