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Internship Biotech Data Analyst Jobs in Greer, SC

BMW

Quality Data Co-op (Spring 2027)

Spartanburg, SC · On-site

Quality, Data Analytics, Problem Solving: Engage in problem solving related to KPI impacts and ... Interns will gain added insight into these phases of automotive manufacturing. Qualifications

Synnex

Vendor Claims Analyst I

Greenville, SC · Hybrid

Strong data entry and administrative skills. * Basic proficiency with Microsoft Office and other ... Previous internship, co-op, customer service, administrative, accounting, or finance-related ...

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Internship Biotech Data Analyst information

See Greer, SC salary details

$11

$21

$40

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

As of Sep 1, 2026, the average hourly pay for internship biotech data analyst in Greer, SC is $21.64, according to ZipRecruiter salary data. Most workers in this role earn between $16.63 and $23.56 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.

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

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The top searched job categories for Internship Biotech Data Analyst jobs in Greer, SC are:

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Internship Biotech Data Analyst jobs near you
Infographic showing various Internship Biotech Data Analyst job openings in Greer, SC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $45,007 per year, or $21.6 per hour.

Quality Data Co-op (Spring 2027)

BMW Group

Spartanburg, SC • On-site

Full-time

Posted 17 days ago

BMW Group rating

7.7

Company rating: 7.7 out of 10

Based on 191 frontline employees who took The Breakroom Quiz

9th of 45 rated automakers

Job description

Job Title: Quality Data Co-op (Spring 2027)
Posting Start Date: 8/12/26
Job Location (Long):
Spartanburg, South Carolina United States
Job Description:
Description:
Support the Assembly Test, Finish, Rework, and New Model Launch areas with the development of process improvements, innovations, and software tools. Engage in problem solving related to quality and process flow topics within the department. Collaborate with department management teams to iterate on existing concepts to improve transparency of the quality landscape, F1-F2 and Launch Processes, and Vehicle/Information Flow management. Also, envision the next generation of flow concepts and software tools, assessing their feasibility and potential benefits. Performs other duties as assigned by management.
Assignment Duties
  • Quality, Data Analytics, Problem Solving: Engage in problem solving related to KPI impacts and quality. Develop new ways to display operations data that facilitate a faster and clearer path from problem recognition to solution. Participate in problem-solving activities to improve KPIs and develop new methods and tools. This may include developing new mobile software or hardware solutions to streamline the defect documentation process. Develop or enhance tools to improve visibility of plant quality process adherence and interface with existing plant quality management IT systems. Suggest and test new ideas that do not yet exist.
  • Vehicle Flow Management: Support management and quality teams to develop and enhance processes with software tools to manage offline vehicle flow more efficiently through multiple and complex testing and rework areas. Simplify and save labor by providing smarter tools to detect irregularities or inconsistencies in vehicle routing decisions to support faster resolution, feedback to issue sources, and improve on-time delivery.
  • Vehicle Launch Preparations: Support management and quality teams to enhance processes related to production, testing, and finishing in New Vehicle Launch processes.
  • Dashboard Creation: Create innovative dashboards to quantify, understand, and visualize the intricacies of launching future vehicles in Plant 10.
  • Create process sheets for problem management and data quality activities
  • Develop a tool to simulate process changes and impacts on vehicle flow, throughput times, and on-time delivery; test implementation where feasible
  • Further develop Artificial Intelligence applications in Test, Finish, and Vehicle Launch areas
  • Investigate innovation opportunities related to vehicle and information flow processes, such as developing a tool for automatic routing of vehicles and shipping
  • Update co-op manual and onboarding information
  • Perform exploratory data analysis to identify patterns, correlations, and trends
  • Conduct statistical analysis to uncover insights and support decision-making processes
  • Support the implementation and optimization of data analytics tools and processes.

Assignment Training Plan (Technical and Process Skill Development)
  • IPSQ, Quality Analytics, Splunk, etc.
  • Power BI, Apex dashboard development
  • SQL
  • Microsoft Office Products (Word, Visio, Project, etc.)

Assignment Development Plan
  • Organizational skills
  • Communication and facilitation skills
  • Planning skills
  • Gain insight into TX45 operations: receiving finished products from assembly; responsible for testing, inspecting, reworking, and shipping all vehicles on site. TX45 is the gateway to the customer and must ensure premium quality in a timely manner. Responsible for launching new series, including multiple build phases. Interns will gain added insight into these phases of automotive manufacturing.

Qualifications:
  • Engineering degree (preferably electrical, computer, mechanical, or industrial), Data Science, Statistics, or related field
  • Strong analytical and problem-solving skills with keen attention to detail
  • Proficient in Microsoft Excel (experience with VLOOKUP, Macros, PivotTables, etc. preferred)
  • Proficient in data manipulation and analysis using tools such as Python, SQL, or similar
  • Preferred experience with data visualization tools such as Tableau, Power BI, etc.
  • Detail-oriented and organized
  • Effective communication skills
  • Possess a minimum cumulative GPA of 3.0 (not just in major)
  • Enrolled student status at an accredited four-year college or university in the United States
  • Completed at least 30 credit hours at time of application
  • Ability to work full-time on-site (40 hours/week)
  • Transfer students must have a GPA from their current university
  • MUST ATTACH A COPY OF UNOFFICIAL TRANSCRIPT
  • Complete and pass a substance abuse test before the work term
  • Work term dates are January 11th - May 14th, 2027.
  • Must be an enrolled student during all three rotations.

BMW Manufacturing Company is an equal opportunity employer. It is the policy of BMW MC to provide equal employment opportunity (EEO) to all qualified persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

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