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Internship Biotech Data Analyst Jobs in Cape Cod, MA

Research Data Analyst

Belmont, MA · On-site +1

$41K - $60K/yr

Academic research, internships, or coursework involving statistical analysis or biomedical data may satisfy this requirement. Knowledge, Skills and Abilities * Proficiency in R and statistical data ...

New

... our Summer Internship Program, which provides meaningful opportunities for personal and ... Provide timely and accurate analytical support to the team, ensuring results are validated and ...

... our Summer Internship Program, which provides meaningful opportunities for personal and ... Provide timely and accurate analytical support to the team, ensuring results are validated and ...

Your work may support data analysis, process analysis, business requirements, data quality ... At DTCC, interns contribute to meaningful work while learning how the financial markets operate ...

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Showing results 21-40

Internship Biotech Data Analyst information

See Cape Cod, MA salary details

$12

$24

$45

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

As of Sep 4, 2026, the average hourly pay for internship biotech data analyst in Cape Cod, MA is $24.12, according to ZipRecruiter salary data. Most workers in this role earn between $18.56 and $26.30 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 popular job titles related to Internship Biotech Data Analyst jobs in Cape Cod, MA?

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

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

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

Infographic showing various Internship Biotech Data Analyst job openings in Cape Cod, MA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $50,178 per year, or $24.1 per hour.

Research Data Analyst

Massgeneralbrigham

Belmont, MA • On-site, Remote

$41K - $60K/yr

Full-time

Posted 3 days ago

New


Key responsibilities

  • Perform statistical analyses of genomic and molecular data, including polygenic risk score (PRS) analyses and association testing.

  • Integrate genetic, transcriptomic, methylomic, clinical, and EHR phenotype data to investigate relationships between molecular variation and clinical outcomes.

  • Organize, curate, and analyze clinical and EHR-derived phenotype data, including data collection, harmonization, quality control, and phenotype definition.


Mass General Brigham rating

8.0

Company rating: 8.0 out of 10

Based on 348 frontline employees who took The Breakroom Quiz

90th of 898 rated healthcare providers


Job description

Site: The McLean Hospital Corporation


Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.


Job Summary

Summary
The Research Data Analyst will work under the direction of the Principal Investigator to support collaborative research integrating genomic and multi-omic data with clinical and electronic health record (EHR) data. The analyst will contribute to projects investigating the genetic, epigenetic, and downstream molecular basis of psychiatric and related complex traits.
Does this position require Patient Care?
No
Essential Functions
-Perform statistical analyses of genomic and molecular data, including polygenic risk score (PRS) analyses and association testing.
-Integrate genetic, transcriptomic, methylomic, clinical, and EHR phenotype data to investigate relationships between molecular variation and clinical outcomes.
-Analyze high-dimensional transcriptomic and DNA methylation datasets.
-Train genetically regulated gene expression (GReX) models and conduct transcriptome-wide association studies (TWAS).
-Perform differential expression and association analyses using statistical frameworks such as limma and related R/Bioconductor tools.
-Organize, curate, and analyze clinical and EHR-derived phenotype data, including data collection, harmonization, quality control, and phenotype definition.
-Develop and maintain reproducible analysis pipelines in R and/or Python.
-Conduct data quality control, visualization, statistical modeling, and interpretation of results.
-Organize, document, and maintain research datasets and analysis outputs to facilitate reproducibility and collaboration.
-Work closely with investigators on study design, analysis, interpretation, and preparation of results for presentations and manuscripts.


Qualifications

Education
Bachelor's or Master's degree in bioinformatics, biostatistics, computational biology, data science, statistics, genetics/genomics, or a related quantitative field required.
Can this role accept experience in lieu of a degree?
Yes

Experience
Experience attained through education or 0-1 year of relevant research or data-analysis experience required. Academic research, internships, or coursework involving statistical analysis or biomedical data may satisfy this requirement.


Knowledge, Skills and Abilities

  • Proficiency in R and statistical data analysis; experience with Python is desirable.
  • Experience working with large, complex, or high-dimensional biomedical datasets.
  • Familiarity with genomic, transcriptomic, DNA methylation, or other molecular data.
  • Familiarity with PRS, GWAS, TWAS/GReX, limma, or related genomic analysis methods is desirable.
  • Familiarity with clinical or EHR data, including phenotype curation and harmonization, is desirable.
  • Understanding of statistical modeling, data visualization, and data quality-control methods.
  • Strong organizational skills and the ability to maintain well-documented and reproducible analyses.
  • Ability to work collaboratively with investigators, scientists, clinicians, and interdisciplinary research teams.
  • Ability to identify analytical or data-related roadblocks and seek appropriate guidance.
  • Strong computer skills and careful attention to data accuracy and organization.


Additional Job Details (if applicable)


Remote Type

Hybrid


Work Location

115 Mill Street


Scheduled Weekly Hours

40


Employee Type

Regular


Work Shift

Day (United States of America)


Pay Range

$41,932.80 - $60,340.80/Annual


Grade

5


At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach to determining base pay is comprehensive, and any offer extended will take into account your skills, relevant experience if applicable, education, certifications and other essential factors. The base pay information provided offers an estimate based on the minimum job qualifications; however, it does not encompass all elements contributing to your total compensation package. In addition to competitive base pay, we offer comprehensive benefits, career advancement opportunities, differentials, premiums and bonuses as applicable and recognition programs designed to celebrate your contributions and support your professional growth. We invite you to apply, and our Talent Acquisition team will provide an overview of your potential compensation and benefits package.


EEO Statement:

1600 The McLean Hospital Corporation is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran's Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642.


Mass General Brigham Competency Framework

At Mass General Brigham, our competency framework defines what effective leadership "looks like" by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.


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