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Internship Biotech Data Analyst Jobs in Boston, MA

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Internship Biotech Data Analyst information

See Boston, MA salary details

$13

$24

$45

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

As of Sep 2, 2026, the average hourly pay for internship biotech data analyst in Boston, MA is $24.45, according to ZipRecruiter salary data. Most workers in this role earn between $18.80 and $26.63 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 the most commonly searched types of Biotech Data Analyst jobs in Boston, MA?

The most popular types of Biotech Data Analyst jobs in Boston, MA are:

What are popular job titles related to Internship Biotech Data Analyst jobs in Boston, MA?

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

What job categories do people searching Internship Biotech Data Analyst jobs in Boston, MA look for?

The top searched job categories for Internship Biotech Data Analyst jobs in Boston, MA are:

What cities near Boston, MA are hiring for Internship Biotech Data Analyst jobs?

Cities near Boston, MA with the most Internship Biotech Data Analyst job openings:

Internship Biotech Data Analyst jobs near you
Infographic showing various Internship Biotech Data Analyst job openings in Boston, MA as of August 2026, with employment types broken down into 14% Internship, 58% Full Time, 14% Part Time, and 14% Contract. Highlights an 100% In-person job distribution, with an average salary of $50,854 per year, or $24.4 per hour.

Business Data Analyst

Texas State Library and Archives Commision

Lexington, MA • On-site

Full-time

Re-posted yesterday

Job description

We are seeking a highly analytical and detail-oriented Business Data Analyst with expertise in
Biotech R&D data and applications. The ideal candidate will play a crucial role in transforming
complex data into actionable insights that support decision-making processes in biotech
research and development. This position requires a deep understanding of biotech R&D data,
bioinformatical sceinces, pharmacological sciences, and histology data and applications, and
the ability to translate business needs into data-driven solutions. The Business Data Analyst will
work closely with R&D, IT, and business teams to ensure that data is accurately captured,
analyzed, and utilized to drive innovation and efficiency.
Key Responsibilities:
o Work with IT and R&D teams to ensure accurate data collection, storage, and
integration across various platforms and applications.
o Work with Business Owners to analyze complex biotech R&D data and systems
and document requirements for new IT solutions.
o Work with Voyager IT and MSP partners to develop and maintain system
integrations, dashboards, reports, and visualizations to present data findings to
stakeholders.
o Work with Business Owners to understand statistical methods and data mining
techniques used to extract actionable insights from large datasets and implement
a Solution with help from Voyager IT and MSP partners.
o Implement and maintain data management processes, including data quality
checks, data cleansing, and data governance.
o Ensure that all data-related activities comply with Voyager standards
o Provide support and expertise in the use of bioinformatics and biotech R&D
applications, including LIMS, ELN, and data analysis tools.
o Collaborate with R&D teams to understand their data needs and optimize the use
of existing applications.
o Assist in the evaluation and implementation of new data tools and applications
that enhance research capabilities.
o Design and implement business intelligence solutions that align with R&D
objectives and business goals.
o Create and automate reports that track key performance indicators (KPIs)
relevant to biotech research.
o Conduct ad hoc analyses as required by business leaders and R&D teams.
o Serve as a liaison between R&D, IT, and business teams to ensure alignment on
data-related initiatives.
o Facilitate communication and understanding of data-driven insights among non-
technical stakeholders.
o Participate in cross-functional projects that involve data analysis and contribute
to strategic planning.

Apply