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Internship Biotech Data Analyst Jobs (NOW HIRING)

Overview The Data Analyst partners across Finance, Accounting, Supply Chain, and Operations to ... internships, or projects are encouraged to apply * Working knowledge of SQL (writing queries, joins ...

Overview The Data Analyst partners across Finance, Accounting, Supply Chain, and Operations to ... internships, or projects are encouraged to apply * Working knowledge of SQL (writing queries, joins ...

Data Analyst City: West Lafayette Job Summary The Institutional Data Analytics + Assessment (IDA+A ... P2: 2+years (a full-time internship may count toward experience) * P3: 4+years * P4: 6+years

Bachelor s or Master s degree in Computer Science, Information Systems, IT, Data Analytics, Business Analytics, Statistics, or a related field * 0 2 years of experience or relevant internships in ...

Strong internship or project experience may also be considered. * Experience applying analytical ... Experience ensuring data integrity and accuracy and dedication to adhering to security and ...

Strong internship or project experience may also be considered. * Experience applying analytical ... Experience ensuring data integrity and accuracy and dedication to adhering to security and ...

Strong internship or project experience may also be considered. * Experience applying analytical ... Experience ensuring data integrity and accuracy and dedication to adhering to security and ...

Coursework related and/or prior internship related to data science/analytics * Working knowledge of statistical modeling * Knowledge of Python, R, Scala, or JavaScript * Strong written and verbal ...

Data Analyst

San Francisco, CA ยท On-site

$90K - $120K/yr

At Windfall, data isn't just a resource-it's our product. We are on a mission to democratize access ... Bachelor's degree * 2-4 years of professional work experience (including internships) in an Analyst ...

Strong internship or project experience may also be considered. * Experience applying analytical ... Experience ensuring data integrity and accuracy and dedication to adhering to security and ...

RareMed Solutions is the ideal partner for biotech firms and pharmaceutical manufacturers due to our custom solutions that are unique to each of our partner's needs. A SQL Data Analyst at RareMed ...

As a Data Analyst Intern, you will have the opportunity to work closely with our dedicated team ... This internship offers a unique blend of responsibilities, allowing you to develop a diverse skill ...

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Internship Biotech Data Analyst information

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

As of Jun 30, 2026, the average hourly pay for internship biotech data analyst in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 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.
More about Internship Biotech Data Analyst jobs
What cities are hiring for Internship Biotech Data Analyst jobs? Cities with the most Internship Biotech Data Analyst job openings:
What are the most commonly searched types of Biotech Data Analyst jobs? The most popular types of Biotech Data Analyst jobs are:
What states have the most Internship Biotech Data Analyst jobs? States with the most job openings for Internship Biotech Data Analyst jobs include:
Infographic showing various Internship Biotech Data Analyst job openings in the United States as of June 2026, with employment types broken down into 3% Internship, 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 1% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.
Data Analyst

Data Analyst

Rogue Fitness

Columbus, OH โ€ข On-site

Full-time

Posted 26 days ago


Job description

Job Description:
Overview
The Data Analyst partners across Finance, Accounting, Supply Chain, and Operations to build, automate, and maintain the sales, cost, and shipping. This role owns how our products are costed and shipped across the US, EU, Canada, and Australia. You'll develop the reporting leadership relies on, analyze carrier rates and surcharges, and respond to ad-hoc data requests that shape day-to-day business decisions. It carries a wide range of high-impact projects and significant room for ownership. Successful candidates are self-directed, organized, and eager to take problems from question through to solution.
The Data Analyst is a fully onsite role in Columbus, Ohio. Remote work is not available. Applicants must be authorized to work in the United States for any employer.
Responsibilities
  • Build, maintain, and automate sales, cost, and ecommerce reporting across multiple regions and currencies
  • Develop and maintain SQL/BigQuery queries to deliver clean, reliable data to business partners
  • Analyze shipping and freight costs, including carrier rates, surcharges, dim-weight, and peak-season increases. Quantify the impact of rate changes and contract proposals
  • Maintain landed-cost, COGS, and manufacturing P&L models, including cost tracking and duty/tax reconciliation, and audit them for accuracy and variances
  • Automate recurring reporting through scheduled jobs and scripting. Reduce manual work and future-proof existing processes
  • Respond to ad-hoc data and analysis requests from stakeholders and leadership to support pricing, sourcing, logistics
  • Identify issues and opportunities, then recommend and implement process and business improvements

Qualifications
  • Bachelor's degree in a relevant field (Finance, Accounting, Economics, Statistics, Data Analytics, or similar)
  • 0-3 years of analytics experience; new grads with strong relevant coursework, internships, or projects are encouraged to apply
  • Working knowledge of SQL (writing queries, joins, aggregations); exposure to BigQuery or another cloud data warehouse is a plus.
  • Advanced Microsoft Excel/Google Sheets skills, including building and maintaining complex models
  • Self-motivated and comfortable working in a fast-paced, deadline-driven environment with limited direction. A genuine go-getter who takes ownership
  • Strong organization and attention to detail across many concurrent projects
  • Familiarity with Python, R, or JavaScript preferred
  • Interest in or exposure to cost accounting, shipping/logistics, or manufacturing operations is a plus

By applying to Rogue, regardless of the platform you choose to use, you are agreeing to Rogue's preferred methods of communication (i.e. text message). Submitting an application, through whatever online forum is ultimately used, constitutes a knowing and voluntary agreement to send and receive text messages during the recruitment process.