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Internship Biotech Data Analyst Jobs in Mason, OH

Accenture

Data Protection Sr. Analyst

Cincinnati, OH · Hybrid

$84.80K - $100.70K/yr

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.

Medpace

Junior Data Engineer

Cincinnati, OH · On-site

... biotechnology, pharmaceutical, and medical device industries. They are seeking a Junior Data ... analyze and document user requirements; • Participate in software validation process through ...

AEG

Academy Performance Analyst Intern

Cincinnati, OH · On-site

In this internship, you will be working within the Academy Analysis Department. You can expect to ... Use the data captured in training to provide feedback to coaches and players * Capture academy ...

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$11

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

As of May 27, 2026, the average hourly pay for internship biotech data analyst in Mason, OH is $21.16, according to ZipRecruiter salary data. Most workers in this role earn between $16.30 and $23.08 per hour, depending on experience, location, and employer.

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 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 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 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.

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Internship Biotech Data Analyst jobs near you
Data Analyst - Specialty Equipment Services

Data Analyst - Specialty Equipment Services

American Financial

Cincinnati, OH • Hybrid

Other

Medical, Dental, Vision, Retirement, PTO

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

Job description

Be Here. Be Great. Working for a leader in the insurance industry means opportunity for you. Great American Insurance Group's member companies are subsidiaries of American Financial Group. We combine a "small company" culture where your ideas will be heard with "big company" expertise to help you succeed. With over 30 specialty and property and casualty operations, there are always opportunities here to learn and grow.
At Great American, we value and recognize the benefits derived when people with different backgrounds and experiences work together to achieve business results. Our goal is to create a workplace where all employees feel included, empowered, and enabled to perform at their best.
The Specialty Equipment Services division is looking for a Data Analyst to build a modern data intelligence team that improves decisions, strengthens client value, and increases operational efficiency. The Data Analyst role helps to drive innovation through the use of data and technology to support outstanding results for both our clients and Great American Insurance.
Specialty Equipment - Great American Insurance Group
Great American's culture is built on connection, shared learning, and strong relationships. To support this, employees in this role are expected to be on-site four days a week, with the flexibility to work one day remotely. Core in-office days are Tuesday-Thursday, with the fourth day determined by business needs.
Essential Job Functions & Responsibilities
  • Delivers thorough analysis of data systems, reporting solutions, and information architecture as part of a culture of knowledgeable expertise
  • Participates in conducting assessments of existing business processes and interdependences with business polices, and procedures.
  • Utilizes data to assist in identifying inefficiencies, sub-optimal customer/user experience, bottlenecks, and areas for enhancement
  • Maintains an expert understanding of the use of Artificial Intelligence tools as a solution for analysis and process improvement
  • Conducts testing of business process designs and reporting solutions to assist with calibrating accuracy and efficiency.
  • Collaborates with business stakeholders to assist with developing actionable improvement plans.
  • Maintains key assets, including a library of sources for reports, data dictionaries, schemas and service requests
  • Testing and definition of IT backlog items related to data and analytics
  • Works closely with divisional leaders, shared services, and IT partners to ensure solutions are practical and adoptable.
Job Qualifications
  • Bachelor's degree in a related field (Business, Analytics, Information Systems, or similar) or equivalent experience
  • Experience supporting analytics/reporting delivery, requirements definition, or business process analysis
  • Strong attention to detail and documentation skills; ability to maintain data dictionaries, report inventories, and request intake artifacts
  • Comfort operating as an 'expert user' of analytics and reporting tools (e.g., SQL, Excel, BI tools) [confirm required tools]
  • Ability to write clear requirements, test plans, and acceptance criteria for IT and analytics backlogs
  • Strong communication and stakeholder management skills; ability to coordinate across business and technical teams
  • May require periodic travel to stakeholder sites or company locations (10% Travel)
Preferred Qualifications
  • Experience with data governance artifacts (data dictionaries, lineage, definitions, controls)
  • Experience with workflow or intake tools (ticketing systems, request funnels)
  • Insurance or financial services domain familiarity
  • Familiarity with the division's reporting environment and source systems

Business Unit:
Specialty Equipment
Benefits:
We offer competitive benefits packages for full-time and part-time employees*. Full-time employees have access to medical, dental, and vision coverage, wellness plans, parental leave, adoption assistance, and tuition reimbursement. Full-time and eligible part-time employees also enjoy Paid Time Off and paid holidays, a 401(k) plan with company match, an employee stock purchase plan, and commuter benefits.
Compensation varies by role, level, and location and is influenced by skills, experience, and business needs. Your recruiter will provide details about benefits and specific compensation ranges during the hiring process. Learn more at http://www.gaig.com/careers.
*Excludes seasonal employees and interns.

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