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Internship Biotech Data Analyst Jobs in Foley, AL

... Interns - Operations Analyst to join our Support Operations Team based in Mobile, AL. This ... Studying in the following degree areas: IT, Data, Business, Finance, or Aerospace Engineering

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... Interns - Operations Analyst to join our Support Operations Team based in Mobile, AL. This ... Studying in the following degree areas: IT, Data, Business, Finance, or Aerospace Engineering ...

New

Summer Internship - Cabin Engineering

Mobile, AL · On-site

$16.50 - $21.50/hr

Knowledge and experience in Data Science, Data Analytics, or Web Development/API Development * Have ... Internship Experience Level: Student Remote Type: On-site Job Family: Support to Management ...

Long-term Internship - Cabin Engineering

Mobile, AL · On-site

$16.50 - $21.50/hr

Knowledge and experience in Data Science, Data Analytics, or Web Development/API Development * Have ... Internship Experience Level: Student Remote Type: On-site Job Family: Support to Management ...

We seek top-notch professionals who will bring strong biotech, pharmaceutical, environmental, or ... Handle software used for tracking & testing Program database configuration and data extracts to ...

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Internship Biotech Data Analyst information

See Foley, AL salary details

$10

$19

$36

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

As of Sep 5, 2026, the average hourly pay for internship biotech data analyst in Foley, AL is $19.26, according to ZipRecruiter salary data. Most workers in this role earn between $14.81 and $20.96 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 popular job titles related to Internship Biotech Data Analyst jobs in Foley, AL?

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

What cities near Foley, AL are hiring for Internship Biotech Data Analyst jobs?

Cities near Foley, AL with the most Internship Biotech Data Analyst job openings:

Infographic showing various Internship Biotech Data Analyst job openings in Foley, AL as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $40,060 per year, or $19.3 per hour.

Senior Data Scientist

Navy Federal Credit Union

Pensacola, FL • On-site

Other

Posted 4 days ago


Key responsibilities

  • Evaluate moderately complex predictive models and advanced algorithms.

  • Identify meaningful insights from large data and metadata sources.

  • Test hypotheses/models, analyze, interpret, and document results.


Navy Federal Credit Union rating

8.1

Company rating: 8.1 out of 10

Based on 276 frontline employees who took The Breakroom Quiz

65th of 154 rated financial services


Job description

Overview
Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants must be authorized to work in the United States without the need for current or future sponsorship.
Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for various areas of the organization. Understand business needs and identify opportunities for new products, services, and process optimization to meet business objectives through the use of cutting-edge data science.
This role supports risk and compliance-focused analytics, including the evaluation of models, policies, and business practices for potential fair lending and consumer compliance risk. The Senior Data Scientist will conduct descriptive, predictive, and prescriptive analyses to assess outcomes, test assumptions, and identify potential bias, while partnering with stakeholders to support responsible and compliant business decisions.
Conduct work assignments of increasing complexity, under moderate supervision with some latitude for independent judgment. Intermediate professional within field; requires moderate skill set and proficiency in discipline.
Responsibilities
  • Evaluate moderately complex predictive models and advanced algorithms
  • Identifies meaningful insights from large data and metadata sources
  • Test hypotheses/models, analyze, interpret, and document results
  • Review input data, assumptions, and outcomes of models and analytical frameworks to assess potential risk and fairness considerations. 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, business partners, compliance, legal, 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
  • Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields
  • 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
  • Model lifecycle execution
  • Technical writing
  • Data storytelling and technical presentation skills
  • Research Skills
  • Interpersonal Skills
  • Working knowledge of procedures, instructions, and validation techniques
  • Model Development
  • 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)

Desired Qualifications
  • Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or related field
  • Experience supporting compliance, risk, or fair lending analytics in a financial services environment
  • Familiarity with fair lending or consumer protection laws (e.g., ECOA, FHA) and evaluating models or policies for potential bias
  • Experience assessing or validating models, including machine learning models, for fairness or governance considerations

Additional Information
Hours:
  • Monday - Friday, 8:00AM - 4:30PM

Location:
  • 820 Follin Lane, Vienna, VA 22180
  • 5510 Heritage Oaks Drive, Pensacola, FL 32526
  • 141 Security Drive, Winchester, VA 22602

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.
FORTUNE 100 Best Companies to Work For 2026
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Most Loved Workplace - America's Top Most Loved Workplaces 2025
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Newsweek Most Trustworthy Companies in America 2026
Military Times 2025 Best for Vets Employers
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Newsweek America's Greatest Workplaces for Culture, Belonging and Community 2026
From Fortune Magazine. 2026 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune 100 Best Companies to Work For are registered trademarks of Fortune Media IP Limited and are used under license. Fortune Magazine, Fortune Media (USA) Corporation, and its affiliates are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union.
Equal Employment Opportunity: 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 or by calling 1-. 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 the Benefits 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.

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Navy Federal Credit Union logo

About Navy Federal Credit Union

Sourced by ZipRecruiter

Navy Federal Credit Union, based in Vienna, Virginia, United States, is a significant player in the financial services industry. Their official website is navyfederal.org. With its roots dating back to 1933, it was initially established to provide credit to Navy members. Over the years, Navy Federal has magnified its scope, evolving into a full-service credit union serving all branches of the military, the Department of Defense, veterans, and their families. The company’s core values include integrity, service, education, and leadership. Navy Federal aims to be the most preferred and trusted financial institution serving the military and their families.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Vienna, VA, US

Year founded

1933