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Data Science Internship Biotech Jobs in Virginia

KBR

Data Engineer with Security Clearance

Chantilly, VA · On-site

$150K - $181K/yr

Experience in data science, analytics, or a related technical discipline (academic research and internships may be considered) * Proficiency in programming languages such as Python or R * Experience ...

IBM

Federal Data Scientist Intern 2027

Herndon, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

For many, it started with an internship. As an IBM intern, you won't just gain experience - you'll ... Receive mentorship from diverse professionals in science engineering and consulting applying ...

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All JobsData Science Biotech JobsData Science Internship Biotech JobsData Science Internship Biotech Jobs in Virginia

Data Science Internship Biotech information

What are the key skills and qualifications needed to thrive as a data science intern in biotech, and why are they important?

A Data Science Intern in Biotech should have a solid understanding of statistics, data analysis, and programming (especially Python or R), typically supported by coursework in computer science, biology, or related fields. Familiarity with data visualization tools, bioinformatics databases, and platforms like Jupyter Notebook or Tableau is highly beneficial. Strong problem-solving abilities, curiosity, and effective communication help interns translate complex data into actionable insights for interdisciplinary teams. These skills enable interns to contribute meaningfully to biotech research by extracting and communicating value from large, complex biological datasets.

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

AspectData Science Internship BiotechData Analyst
Required CredentialsTypically pursuing or completed a degree in Data Science, Biotechnology, or related fieldsUsually holds a degree in Statistics, Mathematics, or related fields
Work EnvironmentBiotech companies, research labs, pharmaceutical firmsVarious industries including finance, healthcare, marketing
Industry UsageApplied to biotech research, drug development, genomicsApplied to business insights, reporting, and decision-making

While both roles involve data analysis skills, a Data Science Internship in Biotech focuses on applying data science techniques to biotech-specific problems, often requiring knowledge of biology or biotech tools. A Data Analyst generally works across industries, emphasizing data reporting and visualization. The internship provides hands-on experience in biotech settings, whereas a Data Analyst role is broader and industry-agnostic.

What is a data science internship in biotech?

A Data Science Internship in Biotech is a temporary, supervised position where interns apply data science techniques to biological and medical data within a biotechnology company. Interns typically work on real-world projects involving data analysis, machine learning, or bioinformatics to help solve challenges in drug discovery, genomics, or healthcare. The internship provides practical experience, helps interns develop valuable technical and domain-specific skills, and can lead to future job opportunities in the biotech industry.

What types of projects does a data science intern typically work on in biotech?

Data Science Interns in biotech companies often contribute to projects involving the analysis of large-scale biological data, such as genomic sequences or clinical trial results. They might work on building predictive models to assist with drug discovery, automating data processing workflows, or visualizing complex datasets for research teams. Interns regularly collaborate with biologists, chemists, and other data scientists, gaining exposure to interdisciplinary teamwork and the unique challenges of working with sensitive, high-dimensional biomedical data.

What cities in Virginia are hiring for Data Science Internship Biotech jobs?

Cities in Virginia with the most Data Science Internship Biotech job openings:

Data Science Internship Biotech jobs near you

Senior Data Scientist (Membership Analytics)

Navy Federal

Vienna, VA • On-site

$99.40 - $155.85/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Senior Data Scientist (Membership Analytics)

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Job Description

Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants must beauthorized to work in the United States without the need for current or future sponsorship.

Responsibilities
  • Design, develop, and evaluate moderately complex predictive models and advanced algorithms
  • Identifies meaningful insights from large data and metadata sources
  • Test hypotheses/models, analyze, and interpret results
  • Exercise sound judgment and discretion within defined procedures and practices
  • Develop and code moderately complex software programs, algorithms, and automated processes
  • Use modeling and trend analysis to analyze data and provide insights
  • Develop understanding of best practices and ethical AI
  • Transform data into charts, tables, or format that aids effective decision making
  • Build working relationships with team members and subject matter experts
  • Lead small projects and initiatives
  • Utilize effective written and verbal communication to document and present findings of analyses to a diverse audience of stakeholders
Qualifications
  • 3-5 years of experience in exploratory data analysis
  • Basic understanding of business and operating environment
  • Statistics
  • Programming, data modeling, simulation, and advanced mathematics
  • SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS
  • Technical writing
  • Data storytelling and technical presentation skills
  • Research Skills
  • Interpersonal Skills
  • Working knowledge of procedures, instructions, and validation techniques
  • Communication
  • Critical Thinking
  • Collaborate and Build Relationships
  • Initiative with sound judgement
  • Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.)
  • Sound Judgment
  • Problem Solving (Responds as problems and issues are identified)
  • Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields
Desired Qualifications
  • Master's/PhD Degree in Data Science, Statistics, Mathematics, Computers Science, or Engineering
Additional InformationHours:
  • Monday - Friday, 8:00AM - 4:30PM
Location:About Us

Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks.

Our approach to careers is simple yet powerful: Make our mission your passion.

  • FORTUNE100 Best Companies to Work For® 2026
  • Yello and WayUp Top 100 Internship Programs 2025
  • Computerworld® Best Places to Work in IT 2026
  • Most Loved Workplace - America's Top Most Loved Workplaces® 2025
  • Newsweek Most Trustworthy Companies in America 2026
  • Military Times 2025 Best for Vets Employers
  • Forbes® 2026 America's Best Large Employers
  • Forbes® 2025 America's Best Employers for New Grads
  • Forbes® 2025 America's Best Employers for Tech Workers
  • 2025 RippleMatch Campus Forward Award Winner for Overall Excellence
  • Military.com Top Military Spouse Employers 2025
  • 2026 Handshake Early Talent Award
  • Newsweek America's Greatest Workplaces for Culture, Belonging and Community 2026

All qualified applicants will receive consideration for employment without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity or any other basis protected by applicable law.

Accommodations:

If you need accommodation or assistance for a qualifying condition to complete the online application (or during any stage of the hiring process), you can contact Navy Federal's Medical Accommodations team at medicalaccommodations@navyfederal.org or by calling 1-888-503-6013 . This team cannot provide any information on job postings or application status.

Disclaimers:

Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team's discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position. For additional details regarding compensation and benefits, review theBenefits page of the Navy Federal Career Site.

Protect Yourself from Job Scams:

Navy Federal Credit Union jobs are posted on our career site, jobs.navyfederal.org and reputable job boards (e.g., LinkedIn, Indeed). We do not post jobs on social media marketplaces, messaging apps or unverified websites. We will never ask candidates for payment, bank details or personal financial information during the hiring process.

Bank Secrecy Act:

Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.

Job Info
  • Job Identification 31391
  • Job Category Data Scientist
  • Posting Date 07/24/2026, 04:33 PM
  • Apply Before 08/08/2026, 03:59 AM
  • Degree Level No Formal Education
  • Job Schedule Full time
  • Job Shift Regular Hours
  • Targeted Salary Range $99,400 - $155,850 annually
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