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Internship Biotech Data Analyst Jobs in Springfield, VA

Vertical Avi

Data, BI & AI Analyst

Alexandria, VA · On-site

Experience with BI tools, dashboards, data visualization, analytics, machine learning, or AI through work, academic, internship, or project experience. * Interest in aviation, association management ...

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 ...

Omnicom

Analyst, Analytics

Washington, DC

... internship or full-time experience in marketing analytics, digital analytics, social listening, communications research, campaign measurement, or a related field. Experience working with data in ...

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Showing results 21-40

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 Sep 1, 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 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 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 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.

Can a biotechnology student become a data analyst?

Yes, a biotechnology student can become a data analyst by developing skills in data management, statistical analysis, and tools like Excel, SQL, or Python. Gaining knowledge of data visualization and relevant industry applications can also improve job prospects in biotech data analysis roles.

How do I get an internship at a biotech data analyst?

To secure an internship as a biotech data analyst, candidates should have a strong background in biology, data analysis, and programming languages like Python or R. Gaining experience through relevant coursework, certifications, or projects, and applying to internships via company websites or job portals, can improve chances. Strong analytical skills and familiarity with biotech databases and tools are also beneficial.

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:

What are popular job titles related to Internship Biotech Data Analyst jobs in Springfield, VA?

For Internship Biotech Data Analyst jobs in Springfield, VA, the most frequently searched job titles are:

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The top searched job categories for Internship Biotech Data Analyst jobs in Springfield, VA are:

What cities near Springfield, VA are hiring for Internship Biotech Data Analyst jobs?

Cities near Springfield, VA with the most Internship Biotech Data Analyst job openings:

Internship Biotech Data Analyst jobs near you

Data, BI & AI Analyst

Alexandria, VA • On-site

Vertical Avi
See more jobs at Vertical Aviexternal

Full-time

Medical, Dental, Vision, Retirement

Re-posted 11 days ago

Job description

VAI is seeking a curious, analytical, and technology-focused Data, BI & AI Analyst to support the organization's growing use of data, business intelligence, and artificial intelligence. This is an excellent opportunity for an early-career professional who is passionate about data and emerging technologies and wants to help shape innovative solutions that support organizational decision-making.
In this role, you will work closely with VAI's Technical Director and stakeholders across the organization to support business intelligence initiatives, contribute to the development of the DAVE data program, and assist with the implementation of AI tools and workflows. The position offers significant learning and growth opportunities as VAI continues to expand its data and analytics capabilities.
What You'll Do
Business Intelligence & Reporting
  • Support Zoho Analytics rollout and ongoing adoption.
  • Create, maintain, and improve dashboards and reports across departments.
  • Collect, validate, analyze, and document data for organizational reporting.
  • Partner with staff to identify reporting needs and improvement opportunities.

DAVE Data Program Support
  • Assist with data collection, research, cleaning, and analysis.
  • Prepare data for dashboards, reports, and visualizations.
  • Document data sources, requirements, and assumptions.
  • Support new data use cases, analytics opportunities, and AI/ML initiatives.

AI & Technology Initiatives
  • Support implementation of approved AI tools and workflows.
  • Help staff use AI tools responsibly and effectively.
  • Create prompts, templates, workflow examples, and use-case documentation.
  • Follow AI governance, privacy, and data-use standards.

Data Quality & Documentation
  • Monitor data quality and escalate integrity issues.
  • Assist with audits, reconciliations, and cleanup efforts.
  • Create user guides, process documentation, and training materials.
  • Support additional data, BI, AI, and reporting projects as needed.

Required Qualifications
  • Bachelor's degree or equivalent education in Data Analytics, Computer Science, Information Systems, Statistics, Machine Learning, Business Intelligence, or a related field.
  • Strong analytical, problem-solving, communication, and collaboration skills, with the ability to work effectively with technical and non-technical stakeholders.
  • Working knowledge of Excel, data analysis, data cleaning, reporting concepts, and related tools such as SQL, Python, BI platforms, data visualization, or machine learning.
  • Interest in artificial intelligence, practical business applications of AI, and continued learning in emerging technologies.

Preferred Qualifications
  • Experience with BI tools, dashboards, data visualization, analytics, machine learning, or AI through work, academic, internship, or project experience.
  • Interest in aviation, association management, safety programs, or industry data initiatives.

Work Environment and Travel
  • Hybrid work environment; in-office once per week or as needed based.
  • Must be able to work out of the corporate headquarters in Alexandria, VA.
  • Limited travel required. Current expectations include approximately one domestic trade show and one to three international trips annually, though travel requirements may vary based on organizational priorities.

Why Join VAI:
  • Work at the intersection of data, technology, and innovation.
  • Gain exposure to business intelligence, analytics, and artificial intelligence initiatives.
  • Collaborate with leaders across multiple functional areas.
  • Contribute to meaningful projects that support a global aviation industry.
  • Build valuable experience and grow alongside a developing data and analytics program.

Compensation & Benefits
Competitive salary and comprehensive benefits package which includes medical, dental, and vision plans where we pay 100% of the employee premiums. A retirement plan with a generous match, tuition reimbursement, and the ability to work remotely

Apply