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Internship Biotech Data Analyst Jobs in Yuma, AZ

Document failure data generated by the customer using the product to ascertain potential ... Experience: 6 years of directly related experience (including internships) providing Functional ...

RMLA Analyst

Yuma, AZ ยท On-site

Document failure data generated by the customer using the product to ascertain potential ... Experience: 6 years of directly related experience (including internships) providing Functional ...

... or professional internships. * Ability to identify historical and pre-contact artifacts and ... analytical skills; experience recording/writing technical data and reports a plus. * Detail ...

Archaeologist

Yuma, AZ ยท On-site

... or professional internships. * Ability to identify historical and pre-contact artifacts and ... analytical skills; experience recording/writing technical data and reports a plus. * Detail ...

... or professional internships. * Ability to identify historical and pre-contact artifacts and ... analytical skills; experience recording/writing technical data and reports a plus. * Detail ...

Internship Biotech Data Analyst information

See Yuma, AZ salary details

$11

$22

$41

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 Yuma, AZ is $22.27, according to ZipRecruiter salary data. Most workers in this role earn between $17.12 and $24.28 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.

What cities near Yuma, AZ are hiring for Internship Biotech Data Analyst jobs? Cities near Yuma, AZ with the most Internship Biotech Data Analyst job openings:
Reliability, Maintainability, Logistic supportability, and Availability (RMLA) Analyst

Reliability, Maintainability, Logistic supportability, and Availability (RMLA) Analyst

ORSA Technologies LLC

Yuma, AZ โ€ข On-site

Full-time

Posted 23 days ago


Job description

Reliability, Maintainability, Logistic supportability, and Availability (RMLA) Analyst
ORSA POSITION TITLE: RMLA Analyst
LOCATION: MCAS Yuma, Arizona
JOB DESCRIPTION: ORSA Technologies is seeking qualified candidates to provide analysis of Reliability, Maintainability, Logistic supportability, and Availability for systems under test to Marine Operational Test and Evaluation Squadron One (VMX-1), located at Marine Corps Air Station (MCAS) Yuma. Candidates will support Test Planning and Execution for their functional area and collaborate with engineering and project management to plan, coordinate, and execute all RMLA work required during the conduct operational testing. The project includes assessing whether or not the system meets the applicable reliability, availability, logistic, and maintainability requirements.
Duties and expectations include, but are not limited to, the following:
  • Lead and perform Suitability Analysis for the program.
  • Responsible for the suitability test planning, test execution, data collection, reduction and analysis as well as reporting.
  • Ensure the reliability, maintainability, logistic supportability, and availability requirements are adequately addressed in the test and data collection plan.
    • Support Reliability Test Planning and Execution. Recommend sample sizes and test methods.
    • Support Maintainability Test Planning and Execution. Including planning and coordination for maintenance demonstrations, as applicable.
    • Support Logistic supportability Test Planning and Execution. Coordinate with NAVSUP as required. Review and provide feedback on the Program Life Cycle Sustainment Plan (LCSP).
    • Support Availability Test Planning and Execution.
  • Review the system and subsystem design documents to ensure RMLA requirements are understood and incorporated into the test plan. Propose test methods and definitions to support the suitability evaluation.
  • Analyze engineering documents to develop an understanding of the interfaces of the components and failure modes.
  • Document failure definition and scoring criteria to support the suitability analysis for the system under test. Including developing the definitions of Essential Function Failures and Operational Mission Failures.
  • Propose statistical analysis techniques for the RMLA requirements and document in the data analysis plan.
  • Collaborate with engineering and project management to plan, coordinate, and execute all RMLA work required to conduct system and subsystem suitability testing.
  • Coordinate, perform and execute all tasks required to achieve the project RMLA milestones: project RMLA Plan, reliability prediction analysis, maintainability and availability analysis, as well as logistics assessment.
  • Maintain RMLA Key Performance Indicators (KPIs) to visually convey system operational suitability status against the established project and test schedule.
  • Attend Failure Review Board (FRB) meetings and participate in the review of root cause analysis findings, when applicable.
  • Analyze projected system and subsystem utilization and calculate the cumulative effect of individual component reliabilities on final system reliability.
  • Observe the conduct of tests to document and evaluate suitability factors, such as numbers and causes of unit failures, utilization time, down time, number of maintenance actions and maintenance times.
  • Document and compile failure data generated during test. Compile and analyze this data set to evaluate the suitability of the system against the requirements.
  • Conduct post test data analysis with appropriate statistics and document in the data analysis summary.
  • Review failure modes to identify components posing excessive failure risks.
  • Advise and confer with test directors and engineers in meetings to present suitability findings and recommendations.

CLEARANCE REQUIREMENTS: Secret
MINIMUM EXPERIENCE AND EDUCATION:
  • Experience: 6 years of directly related experience (including internships) providing Functional Responsibility related job services.
  • Education: Bachelor's degree in Engineering, Computer Science, or other related scientific or technical discipline.
  • Possess experience with aircraft systems and subsystems, Reliability Block Diagrams, System Reliability Assessment, Component Reliability Prediction, System interface diagrams, and relevant software tools.
  • Have experience with USMC maintenance action forms and maintenance systems such as Naval Aviation Logistics Command Management Information System (NALCOMIS), OOMA, CAMEO, Deckplate, etc.
  • Have experience with Configuration Management and Version Control Tools.
  • 4 years of experience working with the Navy Aircraft Maintenance Program (NAMP) and/or Optimized Organizational Maintenance Activity (OOMA) software or 6 years working with an equivalent aircraft maintenance program in another US DoD service

ADDITIONAL REQUIREMENTS:
  • Travel may be required base on programs supporting.
  • Must be able to lift 50 pounds.
  • Ability to communicate effectively orally and written.
  • Ability to multi-task and employ problem-solving skills.