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Internship Biotech Data Analyst Jobs (NOW HIRING)

Ames Construction

Data Analyst

Burnsville, MN · On-site

Experience: Internship, academic, or project-based experience in data engineering, analytics engineering, or a related field, including basic data modeling and relational database concepts.

Govini

Data Analyst

Arlington, VA · On-site

... or internships, performing national security-related analytics; preference for research ... data manipulation, and data visualization skills * Excellent professional demeanor with a ...

Ames Construction

Data Analyst

Burnsville, MN

Experience: Internship, academic, or project-based experience in data engineering, analytics engineering, or a related field, including basic data modeling and relational database concepts.

Dhalite Inc.

Data Analyst (Junior)

Minneapolis, MN · On-site

Qualifications • Master's degree in Business, Data Analytics, Information Technology, or a related field. • 0-2 years of experience or relevant internship in business intelligence, data analysis ...

BrightStar Credit Union

Jr. Data Analyst

Hollywood, FL · On-site

$62K - $75K/yr

Previous internship or work experience in a data analysis or business intelligence role. * Understanding of data warehousing concepts and ETL processes. * Knowledge of cloud-based data platforms such ...

Brooksource

Data Analyst

Lake Forest, IL · On-site

$30 - $35/hr

Data Analyst / Report Developer Lake Forest, IL Hybrid role (Onsite 3x/week) $30-$35 per hour ABOUT ... Prior internship or project experience (preferred) * Coachability, willingness to learn, and a ...

Ivy Tech

Data Analyst Intern

Indianapolis, IN · On-site

$15/hr

The Data Analysis Intern will have the opportunity to gain valuable hands-on experience in data ... This internship can continue until the student's graduation, depending on performance and ...

Ivy Tech

Data Analyst Intern

Indianapolis, IN · Hybrid

$15/hr

The Data Analysis Intern will have the opportunity to gain valuable hands-on experience in data ... This internship can continue until the student's graduation, depending on performance and ...

TWC Business Unit

Data Analyst (Statewide)

Austin, TX · On-site

$4K/mo

... Internship or TWC Apprenticeship will satisfy the minimum qualifications. YOU ARE A GREAT FIT WITH: - Knowledge of statistics and ability to compile and analyze data sets. - Working knowledge of UI ...

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Internship Biotech Data Analyst information

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

As of Jun 9, 2026, the average hourly pay for internship biotech data analyst in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What is the difference between Internship Biotech Data Analyst vs Biotech Data Scientist?

AspectInternship Biotech Data AnalystBiotech Data Scientist
Required CredentialsEnrolled in or recent graduate of related degree (e.g., biology, bioinformatics, data analysis)Advanced degree (Master's or PhD) in data science, bioinformatics, or related fields
Work EnvironmentInternship setting in biotech or pharmaceutical companies, labs, or research institutionsFull-time role in biotech firms, research centers, or biotech startups
Employer & Industry UsageUsed for entry-level training, skill development, and gaining industry experienceUsed for advanced data analysis, modeling, and research projects

The Internship Biotech Data Analyst is an entry-level position focused on gaining practical experience in biotech data analysis, often requiring relevant coursework or a recent degree. In contrast, a Biotech Data Scientist typically holds advanced degrees and performs complex data modeling and research tasks. The internship provides foundational skills, while the data scientist role involves more specialized expertise and responsibilities.

What types of projects or data sets might I work with as an Internship Biotech Data Analyst?

As an Internship Biotech Data Analyst, you can expect to work with real-world biological or clinical data, such as genomic sequences, protein structures, or patient trial results. Projects often involve cleaning, analyzing, and visualizing these datasets to support research or product development. You'll likely collaborate closely with scientists, senior analysts, and sometimes software engineers to interpret findings and present actionable insights. This hands-on experience not only strengthens your technical skills but also helps you understand how data analysis drives innovation in the biotech industry.

What are the key skills and qualifications needed to thrive as an Internship Biotech Data Analyst, and why are they important?

To thrive as an Internship Biotech Data Analyst, you need a foundation in biology or biotechnology, statistical analysis, and data interpretation, typically gained through coursework or relevant internships. Familiarity with data analysis tools such as Python, R, Excel, and experience with bioinformatics databases or platforms like BLAST is highly beneficial. Strong attention to detail, problem-solving abilities, and effective communication skills make candidates stand out in this role. These competencies are crucial for accurately analyzing complex biological data, supporting research projects, and conveying findings to multidisciplinary teams.

What does an Internship Biotech Data Analyst do?

An Internship Biotech Data Analyst supports research and development teams in biotechnology companies by collecting, processing, and analyzing complex biological data. They use statistical tools and software to interpret experimental results, identify trends, and help drive decision-making in projects such as drug discovery, genomics, or clinical trials. Interns often work alongside experienced data analysts and scientists, gaining hands-on experience with real-world datasets and contributing to ongoing research efforts.
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Internship Biotech Data Analyst jobs near you
Infographic showing various Internship Biotech Data Analyst job openings in the United States as of May 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.
Data Analyst

Data Analyst

Ames Construction

Burnsville, MN • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago

Job description

Ames Construction has been building America for more than 60 years, and the people who work here are the reason we continue to succeed.
We are a full-service, heavy civil and industrial contractor building critical infrastructure, including highways, bridges, mines, dams, rail, and more. Our teams take on challenging projects that keep communities safe, supply chains moving, and the country connected.
At Ames, we are Fueled by Family and Driven by Ownership. That means we look out for one another, take pride in what we build, and take responsibility for our actions, our results, and the long-term health of the company.
Guided by our core values of People, Team, Our Bond, Persistence, and Vision, we do what we say we will do, push through challenges and deliver work we're proud of.
When you join Ames, you're joining a company built for long-term success - where skilled people, strong teams, and disciplined execution come together to build careers and a better future.
We are looking for an entry-level Data Analyst to join our team and support the modernization of our company's data stack using Azure Databricks, GitHub, and Power BI. This role is ideal for someone early in their career who is enthusiastic about data engineering, analytics, AI, and cloud-first modernization. You will gain hands-on experience across the end-to-end data lifecycle-from ingestion through transformation and modeling to reporting-helping build scalable, governed datasets and analytics outputs.
Essential Functions
  • Back-End Development (Data Engineering & Modernization):
    Building out data pipelines and integrations across data sources to a cloud platform (Lakehouse, Data Warehouse) to support data transformation and modeling using SQL, Python and AI as well as assist with custom app support.
  • Data Quality and Governance Support:
    Implement data validation routines and monitor data integrity across systems. Debug and resolve data quality, pipeline reliability, and performance issues across the data stack. Contribute to data governance efforts by tagging and classifying datasets, maintaining metadata, and supporting compliance with organizational standards using Databricks Unity Catalog.
  • Front-End Development (Semantic Layer & Reporting):
    Help design and publish data models, schemas, and storage to simplify data access for business users. Support the creation and maintenance of reports and dashboards using Power BI, other visualization tools, and AI. Ensure outputs are accurate, user-friendly, and aligned with stakeholder requirements. Partner with security and infrastructure teams to secure and request access from data to reporting via Azure Key Vault, Databricks, custom apps, Power BI
  • Stakeholder Engagement and Request Intake:
    Engage with business users across departments to understand data needs and provide initial support for data requests. Document requirements, assist in scoping tasks, and escalate complex requests to senior team members for further evaluation.
  • Data Documentation and Best Practices:
    Maintain clear and organized documentation of data sources, pipeline logic, and reporting processes. Learn and apply best practices for data engineering, including modular coding, version control, and platform-specific standards.
  • Skill Development and Continuous Learning:
    Actively develop technical skills in Databricks, Py-Spark, SQL, and Python. Understand how data engineering contributes to broader organizational goals such as data democratization, AI readiness, and strategic decision-making.

Qualifications
  • Education: Bachelor's degree in data science, Statistics, Computer Science, Business, or equivalent work experience.
  • Experience: Internship, academic, or project-based experience in data engineering, analytics engineering, or a related field, including basic data modeling and relational database concepts. Demonstrated ability to build or support data workflows end-to-end (ingestion through transformation to reporting) in a way that improves data reliability and usability.

Technical Skills:
  • Experience in building and supporting data visualizations, such as Power BI, Excel, or Databricks Dashboards.
  • Familiarity with Github-based workflows and CI/CD fundamentals (branching, pull requests, code reviews) and basic monitoring/data-quality practices.
  • Strong skills in coding languages such as SQL, Python, or Py-Spark for data querying and extraction, transformation, and loading (ETL/ELT) processes across Lakehouse and warehouse environments.
  • Introductory experience with statistical analysis tools (e.g., Python, R) and data processing frameworks as well as working with structured and unstructured data.
  • Understanding data quality assurance practices and data validation techniques.
  • Familiarity with end-to-end data platforms, such as Databricks, Azure, or Google Cloud, is a plus.
  • Knowledge of custom app building via Microsoft Power Apps and Databricks Apps.
  • Familiarity with using AI-assisted tools to improve productivity and code quality while following data security and governance standards.

Soft Skills:
  • Demonstrates strong problem-solving skills and a detail-oriented mindset when working with data and code. Proactively identifies data issues and seeks guidance to resolve them.

Working Conditions
  • Location - This position will work out of our Burnsville, MN office.
  • Office environment - extensive sitting at desk and computer; some standing, bending at the waist, stooping, and reaching required; ability to lift 5-20 pounds occasionally.
  • Schedule: M-F, 8am -5pm

Total Rewards
People are the most important asset at Ames Construction.
  • Base salary range is $60,000-$80,000 a year, which varies depending on many factors, including experience, skills, and knowledge.
  • This role is eligible for a discretionary bonus.
  • Ames offers generous retirement benefits, including Employee Stock Option Plan (ESOP) participation and a 401k match.
  • Ames' non-craft health benefits package is designed so that our team members flourish, with medical, dental, and vision (all at one low premium), voluntary benefits, company holidays, and paid time off. Please see the Benefits section of our Careers page for more information.

Ames Construction is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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