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Biological Data Science Internship Jobs in Indiana

The Allied Solutions internship program is a robust and consistent internship program for rising ... The Data Science Intern will join the Data Intelligence team and gain hands-on experience applying ...

The Allied Solutions internship program is a robust and consistent internship program for rising ... The Data Science Intern will join the Data Intelligence team and gain hands-on experience applying ...

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately overlapping the academic summer. DS interns will have a designated data scientist mentor and will ...

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately overlapping the academic summer. DS interns will have a designated data scientist mentor and will ...

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately overlapping the academic summer. DS interns will have a designated data scientist mentor and will ...

$35/hr

The data science intern will help drive proactive and predictive insights that inform strategic ... the internship. * Cumulative 3.0 GPA or above (verified at time of hire) * Must be legally ...

New

$35/hr

The data science intern will help drive proactive and predictive insights that inform strategic ... the internship. * Cumulative 3.0 GPA or above (verified at time of hire) * Must be legally ...

New

$35/hr

The data science intern will help drive proactive and predictive insights that inform strategic ... the internship. * Cumulative 3.0 GPA or above (verified at time of hire) * Must be legally ...

New

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Biological Data Science Internship information

See Indiana salary details

$8

$16

$22

How much do biological data science internship jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for biological data science internship in Indiana is $16.47, according to ZipRecruiter salary data. Most workers in this role earn between $13.70 and $18.32 per hour, depending on experience, location, and employer.

What is a biological data science internship?

A Biological Data Science Internship is a temporary position for students or recent graduates to gain practical experience working at the intersection of biology and data science. Interns typically analyze biological datasets using computational tools, statistical methods, and programming languages such as Python or R. They may work on projects involving genomics, bioinformatics, drug discovery, or ecological modeling. The internship helps individuals develop both technical and domain-specific skills, preparing them for future careers in research, biotechnology, or academia.

What types of projects do interns typically work on during a biological data science internship?

Biological Data Science interns often work on projects involving the analysis of large biological datasets, such as genomic, proteomic, or clinical data. Typical tasks may include cleaning and preprocessing data, developing statistical models, and visualizing complex biological patterns. Interns frequently collaborate with both data scientists and biologists, gaining exposure to interdisciplinary teamwork and real-world research challenges. This hands-on experience helps interns build both their technical and scientific communication skills, making it a valuable stepping stone for careers in bioinformatics, computational biology, or related fields.

What are the key skills and qualifications needed to thrive as a biological data science intern, and why are they important?

To thrive as a Biological Data Science Intern, you need a solid background in biology, statistics, and programming, often supported by coursework or a degree in bioinformatics or a related field. Familiarity with tools like Python, R, and data analysis platforms, as well as experience with genomic databases and visualization software, is typically expected. Strong problem-solving, attention to detail, and teamwork skills help interns excel in collaborative research environments. These abilities enable accurate analysis of complex biological data and contribute to meaningful scientific discoveries.

What is the difference between Biological Data Science Internship vs Biological Data Analyst?

AspectBiological Data Science InternshipBiological Data Analyst
Required CredentialsUndergraduate or graduate student in biology, data science, or related fieldBachelor's or master's in biology, data science, or related field; sometimes requires experience
Work EnvironmentResearch labs, biotech companies, academic institutions, often temporary or project-basedCorporate or research settings, ongoing role with regular hours
Employer & Industry UsageInternships offered by biotech firms, research institutions, universitiesFull-time roles in biotech, pharmaceuticals, research organizations

The Biological Data Science Internship is typically a temporary, entry-level position aimed at students gaining practical experience, whereas a Biological Data Analyst is a full-time role requiring more experience and responsibility. Internships focus on learning and skill development, while analysts handle ongoing data analysis tasks in professional settings.

What are popular job titles related to Biological Data Science Internship jobs in Indiana?

For Biological Data Science Internship jobs in Indiana, the most frequently searched job titles are:

What cities in Indiana are hiring for Biological Data Science Internship jobs?

Cities in Indiana with the most Biological Data Science Internship job openings:

Data Science Intern

Carmel, IN • On-site

Allied Solutions LLC
Finance and Insurance • 1 - 5K employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Allied Solutions rating

7.9

Company rating: 7.9 out of 10

Based on 11 frontline employees who took The Breakroom Quiz


Job description

The Allied Solutions internship program is a robust and consistent internship program for rising Juniors and Seniors. The program will focus on learning and development as well as hands-on experience. The program will immerse the intern into a broad range of responsibilities, allowing you to execute projects within your area of professional interests.
Interested applicants must be available during the 12-week program (May 17th - Aug. 6th, 2027). This is a full-time internship (40-hours per week) based at our headquarters in Carmel, IN.
The Data Science Intern will join the Data Intelligence team and gain hands-on experience applying data, analytics, and AI to real business challenges. This role is designed for students interested in pursuing a career in Data Science and provides exposure to the full data lifecycle through structured rotations across Data Science, Data Engineering, Data Governance, and Data Analytics. The internship emphasizes developing analytical, statistical, and problem-solving skills while building an understanding of how enterprise data is collected, managed, governed, and transformed into actionable insights.
Job Duties and Responsibilities
  • Assist with exploratory data analysis to identify patterns, trends, and actionable business insights.

  • Support the development, testing, and evaluation of predictive models, machine learning solutions, and AI use cases.

  • Prepare, cleanse, and transform data for analytical and Data Science applications.

  • Create visualizations and presentations that communicate findings and recommendations to business stakeholders.

  • Conduct research on emerging AI, machine learning, and advanced analytics techniques.

  • Participate in a Data Engineering rotation focused on data pipelines, data integration, and modern data platform concepts (20%).

  • Participate in a Data Governance rotation focused on data quality, stewardship, metadata management, and trusted data practices (15%).

  • Participate in a Data Analytics rotation focused on reporting, dashboards, performance metrics, and business decision support (15%).

  • Collaborate with Data Intelligence team members across multiple disciplines to understand the end-to-end data lifecycle.

  • Present project outcomes and internship learnings to leadership and stakeholders.

  • Perform other projects and analyses as assigned.

Qualifications (Education, Experience, Certifications & KSA)
  • Currently enrolled in an undergraduate program as a rising Junior or Senior, pursuing a degree in Data Science, Analytics, Statistics, Computer Science, or a related field.

  • Foundational experience with Python, SQL, and data analysis concepts.

  • Understanding statistics, analytical methods, or machine learning concepts.

  • Proficiency in Microsoft Office, particularly Excel.

  • Strong problem-solving skills and attention to detail.

  • Curiosity about AI, machine learning, advanced analytics, and emerging technologies.

  • Interest in how organizations leverage data as a strategic asset.

  • Strong written and verbal communication skills.

  • Ability to manage multiple priorities and meet deadlines.

  • Eagerness to learn and adapt in a fast-paced environment.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, skills, efforts or working conditions associated with a job.
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We offer our employees a robust compensation package! Our comprehensive benefits include: medical, dental and vision insurance coverage; 100% company-paid life and disability coverage, 401k options with company match, three weeks PTO by the end of the first year and much more. Allied proudly promotes from within as part of a strong commitment to providing career growth opportunities for employees of all levels. Our diverse business portfolio allows employees broad career options with the advantage of staying with the same organization.
All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
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