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Virtual Quant Research Internships Jobs in Indiana

Evonik

Summer Internship

Lafayette, IN · On-site

$21 - $27/hr

Research & Development Intern : Engaged in the development of Evonik's Eudragit ® aqueous ... virtual Let's Connect Series. You can even join an Employee Resource Group at Evonik to connect ...

Evonik

Summer Internship

Lafayette, IN

$21 - $27/hr

Research & Development Intern: Engaged in the development of Evonik's Eudragit aqueous dispersion ... virtual Let's Connect Series. You can even join an Employee Resource Group at Evonik to connect ...

Evonik Industries

Summer Internship

Lafayette, IN · On-site

$21 - $27/hr

Research & Development Intern: Engaged in the development of Evonik's Eudragit ® aqueous ... virtual Let's Connect Series. You can even join an Employee Resource Group at Evonik to connect ...

Evonik

Summer Internship

Lafayette, IN

$21 - $27/hr

Research & Development Intern : Engaged in the development of Evonik's Eudragit ® aqueous ... virtual Let's Connect Series. You can even join an Employee Resource Group at Evonik to connect ...

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Virtual Quant Research Internships information

What is a virtual quant research internship?

Virtual Quant Research Internships are remote internship programs where students or recent graduates work on quantitative research projects, often in finance, data science, or technology sectors. Interns typically analyze large datasets, develop mathematical models, and use programming skills to solve real-world problems, all while collaborating with teams online. These internships provide valuable hands-on experience in quantitative analysis and research methods, as well as exposure to industry-standard tools and practices. They are ideal for individuals seeking flexibility and practical experience without relocating.

What skills and qualifications are needed to thrive as a virtual quant research intern?

To thrive as a Virtual Quant Research Intern, you need a strong background in mathematics, statistics, and programming—usually supported by coursework in quantitative fields like mathematics, finance, or computer science. Familiarity with programming languages such as Python, R, or MATLAB, and experience with statistical analysis tools or data visualization libraries, are typically expected. Analytical thinking, problem-solving, and effective remote communication skills help set candidates apart. These abilities are crucial for successfully conducting quantitative research, producing actionable insights, and collaborating with remote teams in a virtual environment.

What are common challenges faced by virtual quant research interns, and how can they be addressed?

Virtual Quant Research Interns often encounter challenges such as limited access to real-time collaboration, difficulty in understanding complex quantitative concepts without in-person guidance, and managing independent research projects remotely. To address these challenges, it's important to proactively communicate with mentors, participate in virtual team meetings, and utilize collaborative tools like shared code repositories and video conferencing. Setting clear goals and regularly seeking feedback can also help interns stay engaged and ensure progress, even in a remote environment.

What is the difference between Virtual Quant Research Internships vs Virtual Data Analyst Internships?

AspectVirtual Quant Research InternshipsVirtual Data Analyst Internships
Required CredentialsTypically pursuing degrees in finance, economics, or mathematicsOften pursuing degrees in statistics, data science, or related fields
Work EnvironmentFinancial firms, hedge funds, or investment banksCorporations, consulting firms, or tech companies
Employer & Industry UsageUsed mainly in finance and investment industriesCommon across various industries including tech, marketing, and finance
Search & Comparison IntentFocus on finance, quantitative research, and investment analysisFocus on data analysis, reporting, and business insights

Virtual Quant Research Internships primarily target students interested in finance and quantitative analysis within investment firms, while Virtual Data Analyst Internships are broader, covering various industries and emphasizing data interpretation and reporting. Both roles require strong analytical skills but differ in industry focus and typical employer types.

What are the most commonly searched types of Quant Research Internships jobs in Indiana?

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

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For Virtual Quant Research Internships jobs in Indiana, the most frequently searched job titles are:

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The top searched job categories for Virtual Quant Research Internships jobs in Indiana are:

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Cities in Indiana with the most Virtual Quant Research Internships job openings:

Virtual Quant Research Internships jobs near you

Health Data Science/AI Associate

Indianapolis, IN • On-site

Regenstrief Institute
Scientific Research and Development Services • 51 - 200 employees
Learn more about Regenstrief Instituteexternal

$56K - $56K/yr

Full-time

Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

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. 

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