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Internship Biotech Data Analyst Jobs in Springfield, VA

rockITdata

Data & Analytics Consultant

Arlington, VA · Remote

Experience in Pharma, Biotech or Healthcare * Experience with Oracle Cerner * Experience with data ingestion, transformation or wrangling * Awareness of statistical analysis and predictive modeling ...

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All JobsBiotech Data Analyst JobsInternship Biotech Data Analyst JobsInternship Biotech Data Analyst Jobs in Springfield, VA

Internship Biotech Data Analyst information

See Springfield, VA salary details

$12

$23

$43

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

As of Aug 10, 2026, the average hourly pay for internship biotech data analyst in Springfield, VA is $23.51, according to ZipRecruiter salary data. Most workers in this role earn between $18.08 and $25.62 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.
What are the most commonly searched types of Biotech Data Analyst jobs in Springfield, VA? The most popular types of Biotech Data Analyst jobs in Springfield, VA are:
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Internship Biotech Data Analyst jobs near you

WBG Pioneer - Data Analyst/Engineer Intern

The World Bank Group

Washington, DC • On-site

Internship

Posted 27 days ago

Job description

WBG Pioneers, the World Bank Group'sInternship Program, offers undergraduate and postgraduate students a highimpact learning experience at the heart of global development. Participantsgain hands on experience in a diverse and dynamic environment, contribute freshperspectives and innovative ideas, and connect with internationalprofessionals working to end poverty on a livable planet.

Background/OrganizationalContext

The World Bank Group (WBG) finances development projects across the globe through three distinct institutions, the International Bank for Reconstruction and Development and the International Development Association (IBRD/IDA), the International Finance Corporation (IFC), and the Multilateral Investment Guarantee Agency (MIGA). The Information and Technology Solutions (ITS) Vice Presidency of the World Bank Group delivers a wide portfolio of technology products and services that enable the WBG's development mission. Within ITS, the Fiduciary Operations unit (ITSFD) is responsible for digital solutions that support Procurement, Financial Management, and Environmental and Social Safeguards across World Bank operations

About the Team: E&S (Environmental & Social Safeguards)

This internship program is hosted by the E&S (Environmental & Social Safeguards) team, the product and technology team within ITSFD responsible for building and maintaining the digital systems that support the World Bank Group's environmental and social risk management and accountability functions. The E&S product team builds the tools that both groups, along with task teams and safeguards specialists across the Bank, rely on daily track and manage workflows, and report on E&S risk and compliance.

Interns will gain hands-on exposure to how the Bank manages environmental and social risk, complaints, and incident tracking across its global project portfolio. Depending on their track, they'll build skills in requirements gathering, applied AI/ML for risk classification and case triage, or data engineering, all while contributing to tools that support accountability and protect communities affected by Bank-financed projects.

Duties and Responsibilities

Support the design and maintenance of data pipelines and dashboards (e.g., Power BI) drawing from CRM and other defined data sources.
Assist in data cleaning, transformation, and validation to ensure accuracy of reporting on E&S cases and metrics.
Help build and refine reports and visualizations for internal stakeholders, including Row-Level Security (RLS) configurations where relevant.
Support ad hoc data requests and analysis to inform product and business decisions.
Document data definitions, sources, and refresh processes.

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