1

Internship Biology Data Analyst Jobs in Springfield, IL

Digital Analyst Internships

Springfield, IL ยท On-site

$97K - $115K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ...

Digital Analyst Internships

Springfield, IL

$97K - $115K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ...

We prefer students who have completed at least one internship in business, economics, data analysis, or similarly relevant work. Cornerstone Research will provide H-1B, H-1B1, E3 and TN visa support ...

Analyst

Springfield, IL ยท On-site

$112K/yr

We prefer students who have completed at least one internship in business, economics, data analysis, or similarly relevant work. Cornerstone Research will provide H-1B, H-1B1, E3 and TN visa support ...

By submitting your interest, you'll be among the first to know when internship opportunities open ... Supporting immunoassay development teams with experimental setup, data collection, and ...

By submitting your interest, you'll be among the first to know when internship opportunities open ... Supporting immunoassay development teams with experimental setup, data collection, and ...

Data analysis and synthesis to support roadmap decisions * Where relevant, contribute to 0-to-1 discovery work for upcoming features - user research synthesis, problem framing, or lightweight spec ...

next page

Showing results 1-20

Internship Biology Data Analyst information

See Springfield, IL salary details

$11

$22

$41

How much do internship biology data analyst jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for internship biology data analyst in Springfield, IL is $22.30, according to ZipRecruiter salary data. Most workers in this role earn between $17.16 and $24.28 per hour, depending on experience, location, and employer.

What types of projects and data sets do biology data analyst interns typically work with during their internship?

Biology Data Analyst interns often work on projects involving the analysis of experimental or observational data from fields such as genomics, ecology, or molecular biology. You might analyze gene expression profiles, biodiversity datasets, or clinical trial results using statistical software and coding languages like R or Python. Interns usually collaborate closely with research scientists, biostatisticians, and fellow analysts, contributing to real-world projects that may be published or support ongoing research. This hands-on experience helps you develop skills in data cleaning, visualization, and communication of scientific findings.

What are the key skills and qualifications needed to thrive as an internship biology data analyst?

To thrive as an Internship Biology Data Analyst, you need a solid background in biology, statistics, and data analysis, often supported by coursework in life sciences and basic programming. Familiarity with tools such as R, Python, Microsoft Excel, and bioinformatics databases is typically required. Attention to detail, problem-solving abilities, and effective communication help interns interpret complex data and present findings clearly. These skills ensure accurate data analysis and meaningful contributions to biological research projects.

What does an internship biology data analyst do?

An Internship Biology Data Analyst assists in analyzing biological data, often using computational tools and statistical methods. They help collect, clean, and interpret large datasets from experiments or databases, contributing to research projects in fields like genetics, ecology, or molecular biology. Interns may also help visualize data, prepare reports, and communicate findings to research teams. This role provides valuable hands-on experience at the intersection of biology and data analysis, preparing students for careers in bioinformatics, research, or data science.

What is the difference between Internship Biology Data Analyst vs Research Assistant in Biology?

AspectInternship Biology Data AnalystResearch Assistant in Biology
Required CredentialsUndergraduate or graduate in biology, data analysis skillsUndergraduate or graduate in biology, laboratory skills
Work EnvironmentData-focused, office or remote settingsLaboratory, fieldwork, research labs
Employer & Industry UsageUniversities, research institutes, biotech companiesUniversities, research labs, environmental agencies
Common Search & ComparisonYesNo

While both roles involve biology, the Internship Biology Data Analyst focuses on data analysis and interpretation, often in office or remote settings. In contrast, Research Assistants typically work hands-on in labs or field environments conducting experiments. The internship provides experience in data management, whereas research assistants engage in experimental procedures. Understanding these differences helps candidates choose roles aligned with their skills and career goals.

What are popular job titles related to Internship Biology Data Analyst jobs in Springfield, IL? For Internship Biology Data Analyst jobs in Springfield, IL, the most frequently searched job titles are:
What job categories do people searching Internship Biology Data Analyst jobs in Springfield, IL look for? The top searched job categories for Internship Biology Data Analyst jobs in Springfield, IL are:
What cities near Springfield, IL are hiring for Internship Biology Data Analyst jobs? Cities near Springfield, IL with the most Internship Biology Data Analyst job openings:

Computational Biologist - AI Reviewer

micro1 AI

Springfield, IL โ€ข On-site, Remote

$90 - $120/hr

Part-time

Posted 11 days ago


Job description

Role Title: Computational Biology Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required โ€” your domain knowledge is what matters.


Scope of Work

  1. Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry.
  2. Provide feedback and domain-specific insights to improve AI models in computational biology contexts.
  3. Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with industry standards.
  4. Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry challenges.
  5. Collaborate asynchronously with other experts to validate findings and share perspectives on project deliverables.
  6. Contribute to the refinement of data curation methodologies and best practices in computational biology.


Preferred Qualifications

  1. Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field.
  2. Demonstrated expertise in medicinal chemistry, including experience with drug discovery or design.
  3. Strong analytical skills with a deep understanding of biological datasets and scientific literature.
  4. Experience applying computational methods to solve problems in chemistry or biology.
  5. Proficiency with relevant bioinformatics tools, cheminformatics platforms, or data analysis software.
  6. Excellent written communication skills to clearly explain complex scientific concepts to diverse audiences.
  7. Previous participation in cross-disciplinary or AI-driven scientific projects is a plus.