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Intern Biotech Data Science Jobs in Boston, MA (NOW HIRING)

phasevtrials.com

Senior Data Scientist

Boston, MA · On-site

$100 - $130/hr

Master's in Computer Science, Statistics, Data Science, Engineering or a related field * Ph.D. is ... Experience in healthcare or biotech industry * Experience with large-scale data processing What We ...

New

PhaseV

Senior Data Scientist

Cambridge, MA · On-site

Master's in Computer Science, Statistics, Data Science, Engineering or a related field * Ph.D. is ... Experience in healthcare or biotech industry * Experience with large-scale data processing What We ...

PhaseV

Senior Data Scientist

Boston, MA

Master's in Computer Science, Statistics, Data Science, Engineering or a related field * Ph.D. is ... Experience in healthcare or biotech industry * Experience with large-scale data processing What We ...

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All JobsIntern Biotech Data Science JobsIntern Biotech Data Science Jobs in Boston, MA

Intern Biotech Data Science information

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How much do intern biotech data science jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for intern biotech data science in Boston, MA is $18.51, according to ZipRecruiter salary data. Most workers in this role earn between $15.67 and $20.91 per hour, depending on experience, location, and employer.

What is the difference between Intern Biotech Data Science vs Intern Bioinformatics?

AspectIntern Biotech Data ScienceIntern Bioinformatics
Required CredentialsUndergraduate or graduate degree in Data Science, Bioinformatics, or related fieldsUndergraduate or graduate degree in Bioinformatics, Biology, or related fields
Work EnvironmentLaboratories, biotech companies, research institutions focusing on data analysisLaboratories, research centers, biotech firms focusing on biological data analysis
Industry UsageUsed in biotech, pharmaceutical, and healthcare sectors for data-driven researchCommon in genomics, molecular biology, and personalized medicine sectors

Intern Biotech Data Science and Intern Bioinformatics both involve working with biological data, but Data Science roles focus more on statistical analysis, machine learning, and data modeling, while Bioinformatics roles emphasize biological data interpretation, sequence analysis, and computational biology. The choice depends on your background and career interests in either data-driven insights or biological data analysis.

What are the most commonly searched types of Biotech Data Science jobs in Boston, MA? The most popular types of Biotech Data Science jobs in Boston, MA are:
Intern Biotech Data Science jobs near you

Undergraduate Intern - Quantitative Data & Finance (Cross-Disciplinary

Risk Analytics Company

Cambridge, MA

Full-time

Re-posted 4 days ago

Job description

Position Overview
We are seeking an undergraduate student to support our Finance and IT teams with a focus on data analysis and quantitative problem-solving. This internship provides hands-on experience working with financial datasets, basic modeling, and tools used in data-driven decision-making.
We welcome candidates from analytical and cross-disciplinary backgrounds—including mathematics, applied mathematics, statistics, economics, engineering, computer science, physics, astrophysics, quantum computing, biotech and other data-driven fields—who are interested in applying quantitative thinking to real-world business and financial problems.
Key Responsibilities
  • Work with structured datasets to support basic financial and operational analysis 
  • Assist in organizing, cleaning, and validating data for reporting and modeling 
  • Build and maintain spreadsheets and simple analytical models in Excel 
  • Support development of reports, dashboards, and visualizations 
  • Identify patterns, inconsistencies, or trends in data 
  • Assist with automation or efficiency improvements using tools like Excel, SQL, or Python (where applicable) 
  • Collaborate with team members on data, finance, and technology-related tasks 
  • Apply quantitative or analytical approaches from coursework to practical business problems 
Required Qualifications
  • Currently pursuing a Bachelor’s degree in a quantitative or analytical field (e.g., Mathematics, Applied Mathematics, Physics, Astrophysics, Statistics, Economics, Computer Science, Quantum Computing, Engineering, Finance, Biotech, or other data-driven discipline) 
  • Strong problem-solving and analytical thinking skills 
  • Familiarity with: 
    • Microsoft Excel (formulas, basic functions) 
    • Microsoft Office (Word, PowerPoint) 
  • Comfort working with numbers and structured data 
  • Strong attention to detail and willingness to learn 
Preferred Qualifications
  • Exposure to programming or data tools (Python, SQL, R, or similar) through coursework or projects 
  • Experience with Excel functions (e.g., VLOOKUP, pivot tables) 
  • Introductory knowledge of statistics, probability, or data analysis 
  • Interest in financial markets, data analytics, or fintech 
  • Coursework or projects involving: 
    • Data analysis or visualization
  • Mathematical modeling 
  • Machine learning (introductory) 
  • Computational or applied problem-solving 
What You’ll Gain
  • Hands-on experience applying quantitative skills in a real-world business environment 
  • Exposure to financial data, analytics workflows, and decision-making processes 
  • Opportunity to build foundational data and modeling skills 
  • Mentorship and professional development 
  • Insight into career paths in quantitative finance, data science, and analytics 
Internship Details
  • Summer 2026, with possible extension