ZipRecruiter

Log In

1

Biological Data Science Internship Jobs in Minnesota

Accelint

Data Scientist

Saint Paul, MN · On-site

$105K - $126K/yr

Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related ... internship experience, or equivalent hands-on industry experience may be considered in lieu of ...

Accelint Holdings LLC

Data Scientist

Saint Paul, MN · On-site

$106 - $127/hr

Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related ... internship experience, or equivalent hands-on industry experience may be considered in lieu of ...

Polaris, Inc.

Data Scientist

Plymouth, MN · On-site

$87K - $115K/yr

... Data Science, Computer Science, or a related field. * Minimum of 2 years of professional experience in a predictive analytics-focused role, excluding internships and academic coursework.

Polaris, Inc.

Data Scientist

Plymouth, MN · On-site

$87K - $115K/yr

... Data Science, Computer Science, or a related field. * Minimum of 2 years of professional experience in a predictive analytics-focused role, excluding internships and academic coursework.

Oncodea

Molecular Diagnostics Associate

Saint Paul, MN · On-site

A link to code or a screenshot is welcome but not required. 5. Bioinformatics or data-science exposure Share any coursework, project, or internship where you worked with biological or clinical data ...

next page

Showing results 1-20

All JobsBiological Data Science JobsBiological Data Science Internship JobsBiological Data Science Internship Jobs in Minnesota

Biological Data Science Internship information

See Minnesota salary details

$8

$16

$23

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

As of Aug 28, 2026, the average hourly pay for biological data science internship in Minnesota is $16.95, according to ZipRecruiter salary data. Most workers in this role earn between $14.13 and $18.85 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 Minnesota?

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

What job categories do people searching Biological Data Science Internship jobs in Minnesota look for?

The top searched job categories for Biological Data Science Internship jobs in Minnesota are:

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

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

Biological Data Science Internship jobs near you
Infographic showing various Biological Data Science Internship job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $35,254 per year, or $16.9 per hour.

Robotics - Data Science Intern / Co-op - 2026

SupportFinity™

Virginia, MN • On-site

$80 - $120/hr

Other

Medical, Retirement

Posted 9 days ago

Job description

Robotics - Data Science Intern / Co-op - 2026

Are you passionate about data science? Do you want to solve real customer problems through innovative technology? Do you enjoy working on scalable research and projects in a collaborative team environment? Do you want to see your science solutions directly impact millions of customers worldwide?

At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. Customer obsession is part of our company DNA, which has made us one of the world's most beloved brands.

We're looking for current Master's and PhD students with a passion for robotic research and applications to join us as Robotics Data Scientist Intern/Co-ops in 2026. Our robotics teams are looking for students with a specialization in robotics, data science, computer vision, large language models, visual language models, statistics, machine learning, causal inference, deep learning, artificial intelligence, applied generative AI, operations research, data analysis, predictive modeling, and more.

By applying to this role, you will be considered for Robotics Data Science Intern/Co-op (2026) opportunities across various robotics teams at Amazon with different research focus. Internship positions are available for multiple locations, durations (3 to 6+ months), and year‑round start dates.

Responsibilities
  • Design and implement state‑of‑the‑art solutions for never‑before‑solved problems.
  • Collaborate closely with other research and robotics experts to design and run experiments, research new algorithms, and find new ways to improve Amazon Robotics analytics to optimize the customer experience.
  • Partner with technology and product leaders to solve business problems using scientific approaches.
  • Build new tools and invent business insights that surprise and delight customers.
  • Work to quantify system performance at scale, and to expand the breadth and depth of our analysis to increase the ability of software components and warehouse processes.
  • Work to evolve our library of key performance indicators and construct experiments that efficiently root cause emergent behaviors.
  • Engage with software development teams and warehouse design engineers to drive the evolution of the Amazon Robotics system, as well as the simulation engine that supports our work.
Team

Learn more about Amazon Robotics and our initiatives at Amazon Robotics and Amazon Million Robots AI Foundation Model.

Basic Qualifications
  • 18 years of age or older.
  • Currently enrolled in a Master's or PhD program in Data Science, Mathematics, Statistics, Computer Science, Robotics, Engineering, Machine Learning, Computer Vision, Operations Research, or a related quantitative field.
  • Eligible for and available for a full‑time (40 hours per week) internship based out of the assigned office location for the whole duration of the internship/co‑op.
  • At least one year of relevant academic research or industry experience within relevant science disciplines such as machine learning, applied statistics, computer vision, optimization, or related fields.
  • At least one year of experience working as a data scientist or a similar role involving data extraction, analysis, statistical modeling, and communication.
  • At least one year of experience using data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, MATLAB).
Preferred Qualifications
  • Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment.
  • Excellent communication skills with the ability to explain complex technical concepts to a non‑technical audience, while also efficiently interacting with deeply technical peers.
  • Understanding of data engineering and business intelligence.
  • Quantitative and qualitative data analysis experience with demonstrated impact on a business, a track record of creative problem‑solving, and the desire to create and build new processes.
  • Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
  • Experience with natural language processing (NLP) and working with large language models.
  • Experience with causal inference modeling.
  • Experience with A/B testing and data wrangling.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.

#J-18808-Ljbffr

Apply