ZipRecruiter

Log In

1

Biological Data Science Internship Jobs in Indiana

Amgen

$85K - $116K/yr

Experienceworking with biological data, andin applying machine learning to computational biology ... continue advancing science to serve patients. Together, we compete in the fight against ...

North Newton School District

Science Teacher

Morocco, IN · On-site

$43K - $56K/yr

High School Teaching/Science - Biology Date Posted: 4/3/2026 Location: North Newton Junior-Senior ... data information systems, data analysis and the formulation of action plans. - Knowledge of ...

North Newton School District

Science Teacher

Morocco, IN

$43K - $56K/yr

... biology, physiology, chemistry, and physics; develops students skills and abilities in scientific ... data information systems, data analysis and the formulation of action plans. - Knowledge of ...

North Newton School District

Science Teacher

Morocco, IN · On-site

$43K - $56K/yr

... biology, physiology, chemistry, and physics; develops students skills and abilities in scientific ... data information systems, data analysis and the formulation of action plans. - Knowledge of ...

North Newton School District

Science Teacher

Morocco, IN · On-site

$43K - $56K/yr

... biology, physiology, chemistry, and physics; develops students skills and abilities in scientific ... data information systems, data analysis and the formulation of action plans. - Knowledge of ...

next page

Showing results 1-20

All JobsBiological Data Science JobsBiological Data Science Internship JobsBiological Data Science Internship Jobs in Indiana

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 Jul 29, 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 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 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 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 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 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 job categories do people searching Biological Data Science Internship jobs in Indiana look for? The top searched job categories for Biological Data Science Internship jobs in Indiana 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:
Biological Data Science Internship jobs near you

Post Doc Research Associate

Purdue University

West Lafayette, IN • On-site

Full-time

Re-posted 18 days ago

Purdue University rating

7.5

Company rating: 7.5 out of 10

Based on 136 frontline employees who took The Breakroom Quiz

307th of 612 rated colleges and universities

Job description

Post Doc Research Associate
City: West Lafayette
Job Description:
Job Summary
Postdoctoral position: Machine Learning for Drug Discovery
Discover causes and cures for disease through research in the Carpenter-Shen laboratory!
Want to devote your expertise in data science to accelerate the pace at which new medicines are found? Our lab develops and applies methods to extract quantitative information from high-throughput biological images.
We seek a postdoctoral researcher to join our efforts to glean insights from large collections of images. There is much more information present in microscopy images than is commonly perceived by eye. We harvest this information, developing novel methods to characterize cellular populations at single-cell resolution. This work has the potential to transform how both the targets and therapies for disease are identified.
We aim to revolutionize the process of drug discovery in several projects, including:
  • Identify the function of unknown genes and predict mutation impact, for personalized medicine
  • Repurpose existing drugs to new diseases
  • Identify potential therapies for bipolar disorder and psychosis, based on cell morphology changes
  • Predict and classify toxicity of compounds destined for clinical trials or agrochemical use
  • Develop multimodal alignment methods to link image profiles to find drug-gene matches
  • Design AI agent systems to let biologists query, retrieve, and reason over large-scale image databases
  • We are also open to your ideas that align well with our interests and expertise!

About us: Our mission is to make biological discoveries by developing advanced methods to quantify and mine the rich information in images. We work as a collaborative team making discoveries to influence patient treatment. Our lab offers a professional, conscientious environment passionate about driving scientific progress.
Our lab pioneered Cell Painting, a leading image-based profiling assay used worldwide to quantify biological processes. Our open-source CellProfiler software, cited in over 23,000 papers, has enabled discoveries leading to several clinical trials, including two successful in cancer so far. We also launched a major Cell Painting consortium with ten pharmaceutical companies to produce the largest public Cell Painting dataset. Through OASIS, we created the largest public dataset combining Cell Painting, transcriptomics, and proteomics for toxicity assessment. In VISTA, we aim to systematically and scalably uncover disease phenotypes and drugs that can reverse them for disease caused by coding variants.
Please express interest by applying and submitting your CV and a personalized cover letter.
Education
  • Ph.D. required in a computational field (Data Science, Computer Science, Computational Biology, Bioinformatics, Cheminformatics, or related) with data science experience in biomedical domains.

Experience
  • Expertise analyzing large-scale and/or high-dimensional biological data is highly desired.
  • Outstanding integrity, initiative, organizational & collaborative ability, and communication skills.

FLSA Status
Exempt

What Purdue University employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply