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Internship Biotech Data Analyst Jobs in Springfield, VA

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

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Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

Showing results 41-60

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 2, 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:

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:

Single-Family Data Intern- Summer 2027

Freddie Mac

Mclean, VA • On-site

$32/hr

Other

Posted 8 days ago


Freddie Mac rating

9.2

Company rating: 9.2 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it's at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose.

At Freddie Mac, you will do important work to build a better housing finance system and you'll be part of a team helping to make homeownership and rental housing more accessible and affordable across the nation.

We are accepting applications for this position until 10/16/2026

Position Overview:

The Single-Family division within Freddie Mac is seeking curious, motivated college students for a summer internship. Interns will gain hands-on experience supporting data analytics, reporting, business processes, and risk management activities while building skills through mentorship, training, and collaboration. This opportunity is ideal for college juniors interested in data analytics, statistical analysis, quantitative problem solving, and emerging technologies, including AI-enabled tools.

Our Impact:

  • Single-Family uses data analysis, reporting, and risk management to support business decisions and deliver solutions for customers.
  • We optimize, visualize, and govern data across the data lifecycle while modernizing the Single-Family data ecosystem.
  • We leverage statistical analysis, quantitative modeling, structured rules, and emerging technologies to improve operational effectiveness.

Your Impact:

  • Assist product owners, team members, and business partners with gathering requirements, documenting user stories, and clarifying project scope.
  • Support day-to-day operations and projects through data analysis, impact analysis, user acceptance testing, reporting, and other business or technical support activities.
  • Collaborate with teammates, IT partners, and stakeholders to understand business processes, support issue resolution, and test developed solutions.
  • Assist with monthly business process reporting, executive metrics, and data quality controls for completeness and accuracy.
  • Apply classroom knowledge of statistical analysis, quantitative problem solving, and programming tools such as Python, SAS, SQL, or similar technologies to support business insights.
  • Learn how AI-enabled tools and emerging technologies can improve analytical processes, productivity, and decision making.

Qualifications:

  • Current college student pursuing a bachelor's degree in data Analytics, Statistics, Quantitative Analytics, Quantitative Finance, Economics, Data Science, Business Information Technology, Management Information Systems, Computer Science, Information Technology, Mathematics, or a related quantitative discipline.
  • Expected graduation in December 2027 or May 2028, with availability to participate in the Summer 2027 internship program.
  • Coursework, academic projects, or prior internship experience related to statistical analysis, quantitative modeling, data analytics, programming, or data-driven problem solving is preferred.
  • Exposure to AI tools, Microsoft AI-enabled productivity solutions, or an interest in learning how emerging technologies can support business outcomes is preferred.

Keys to Success in this Role:

  • Strong written and verbal communication skills, including the ability to organize thoughts clearly and explain analytical findings in a simple, effective way.
  • Foundational knowledge of statistical analysis, quantitative problem solving, and data-driven methodologies gained through coursework, projects, or related experience.
  • Familiarity with Microsoft Office tools and an interest in learning how AI-enabled productivity tools can support analysis, collaboration, and decision making.
  • Curiosity, initiative, and eagerness to learn how data, technology, and business processes support Freddie Mac's mission.
  • Strong interpersonal skills and a collaborative mindset when working with teammates, business partners, and stakeholders.

Interns are paid a set, non-negotiable rate. The hourly rate for this position is $32/hr.

Current Freddie Mac employees please apply through the internal career site.

We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

A safe and secure environment is critical to Freddie Mac's business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs.

CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC.

Time-type:Full time

FLSA Status:Non-Exempt

Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.

This position has an annualized market-based salary range of $54,000 - $82,000 . All interns positions are paid at an hourly rate, which can be found in the body of the job description.


What Freddie Mac employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom


Freddie Mac logo

About Freddie Mac

Sourced by ZipRecruiter

Today, Freddie Mac makes home possible for one in four home borrowers and is one of the largest sources of financing for multifamily housing. Join our smart, creative and dedicated team and you'll do important work for the housing finance system and make a difference in the lives of others.

Industry

Finance and insurance

Company size

5,001 - 10,000 Employees

Headquarters location

McLean, VA, US

Year founded

1970