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Intern Biotech Jobs in Boston, MA (NOW HIRING)

... biotechnology? AtCytiva, one ofDanaher's15+ operating companies, our work saves lives-and we're all ... The R&D Intern is responsible for laboratory activities related to filtration technologies and ...

R&D Intern

Westborough, MA ยท On-site

$30 - $34/hr

... biotechnology? At Cytiva , one of Danaher's ( 15+ operating companies, our work saves lives-and we ... The R&D Intern is responsible for laboratory activities related to filtration technologies and ...

R&D Intern

Westborough, MA ยท On-site

$30 - $34/hr

... biotechnology? At Cytiva, one of Danaher's 15+ operating companies, our work saves lives-and we're ... The R&D Intern is responsible for laboratory activities related to filtration technologies and ...

Intern Biotech information

See Boston, MA salary details

$9

$18

$26

How much do intern biotech jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for intern biotech 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 does an intern in biotech do?

An Intern in Biotech typically supports research and development activities within a biotechnology company or laboratory. Their tasks may include conducting experiments, analyzing data, preparing laboratory materials, and assisting senior scientists with ongoing projects. Interns gain hands-on experience with scientific techniques and learn about the biotech industry, which can be valuable for future careers in science and technology. They may also attend meetings, contribute to reports, and collaborate with other team members. This role provides a practical understanding of how scientific research is conducted in a professional setting.

What types of projects and responsibilities can an intern in biotech expect to work on during their internship?

As a Biotech Intern, you can expect to be involved in hands-on laboratory work, such as assisting with experiments, preparing samples, and analyzing data under the supervision of experienced scientists. You may also contribute to ongoing research projects, help maintain lab equipment, and participate in team meetings to discuss findings. Collaboration with other interns and professionals from diverse backgrounds, such as molecular biology, bioinformatics, and quality assurance, is common. This exposure provides valuable insight into various aspects of biotech research and helps build practical skills for future career advancement.

What are the key skills and qualifications needed to thrive as an intern in biotech, and why are they important?

To thrive as a Biotech Intern, you need foundational knowledge in biology, chemistry, or related fields, often supported by ongoing undergraduate or graduate studies. Familiarity with laboratory equipment, data analysis software (such as Excel or GraphPad Prism), and basic laboratory safety protocols is typically required. Strong attention to detail, teamwork, and effective communication help interns contribute meaningfully to research projects and collaborate with scientists. These skills and qualities are crucial for ensuring reliable experimental results and gaining valuable hands-on experience in a scientific environment.

What is the difference between Intern Biotech vs Research Assistant?

AspectIntern BiotechResearch Assistant
Required CredentialsEnrolled in or recent graduate of a biotech, biology, or related programTypically holds a bachelor's or master's degree in a relevant field
Work EnvironmentLaboratories, biotech companies, research facilitiesLaboratories, academic institutions, research centers
Employer & Industry UsageBiotech firms, pharmaceutical companies, research organizationsUniversities, research institutes, biotech companies
Common Search & Comparison IntentUnderstanding entry-level biotech rolesClarifying research support roles in biotech

Intern Biotech roles are typically designed for students or recent graduates gaining initial industry experience, often with limited responsibilities. Research Assistants usually hold more advanced degrees and perform more independent research tasks. Both roles are common in biotech and research settings, but the Research Assistant position generally requires more formal education and experience.

How to get an intern biotech internship?

To secure a biotech internship, candidates should have a background in biology, chemistry, or related fields, and demonstrate laboratory skills or experience with biotech tools. Applying through university career centers, company websites, or internship programs, and preparing a strong resume and cover letter highlighting relevant coursework and skills, can improve chances. Some internships may require certifications or prior research experience and often have application deadlines during the academic year.

Which internship is best for biotechnology students?

The best internship for biotechnology students typically involves hands-on experience in laboratories, research facilities, or biotech companies, focusing on areas like molecular biology, genetic engineering, or bioinformatics. Look for programs that offer mentorship, skill development, and exposure to industry tools such as PCR, CRISPR, or data analysis software, often requiring relevant coursework or certifications. These internships help build practical skills and industry connections essential for a biotech career.

What are the most commonly searched types of Biotech jobs in Boston, MA?

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

What cities near Boston, MA are hiring for Intern Biotech jobs?

Cities near Boston, MA with the most Intern Biotech job openings:

Infographic showing various Intern Biotech job openings in Boston, MA as of August 2026, with employment types broken down into 18% Internship, 1% As Needed, 52% Full Time, 25% Part Time, 1% Temporary, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $38,497 per year, or $18.5 per hour.

PhD Graduate Intern Quantitative Portfolio Risk Analytics

RiskAnalytics

Cambridge, MA โ€ข On-site

Other

Posted 18 days ago


Job description

Ph.D. Graduate Intern โ€“ Quantitative Portfolio Risk Analytics (Cross-Disciplinary)

Position Overview

We are seeking an exceptional Ph.D. graduate student to join our team as a Quantitative Portfolio Risk Analytics Intern. This role focuses on developing and applying advanced analytical methods to understand portfolio risk, market structure, and complex financial systems.

We are intentionally recruiting from cross-disciplinary, research-driven backgrounds. Doctoral candidates from fields such as physics, astrophysics, math, applied mathematics, statistics, engineering, economics, computer science, quantum computing, biotech, and other data-intensive sciences are strongly encouraged to applyโ€”especially those interested in translating rigorous quantitative methods into real-world financial applications.

Key Responsibilities

Develop and enhance quantitative models for portfolio risk, including factor-based and statistical approaches

Analyze large, high-dimensional financial datasets to uncover structure, dependencies, and sources of risk

Design and implement analytical tools and pipelines using Python and SQL

Contribute to model validation, backtesting, and performance evaluation

Collaborate with risk, engineering, and data teams to improve model scalability and data infrastructure

Communicate complex quantitative insights through clear visualizations and technical summaries

Apply advanced methodologies from your discipline (e.g., stochastic modeling, optimization, machine learning, or geometric/topological approaches) to improve risk analytics

Required Qualifications

Currently enrolled in a graduate Ph.D. program in a highly quantitative field (e.g., Math, Applied Mathematics, Physics, Astrophysics, Statistics, Computer Science, Engineering, Financial Engineering, Economics, Biotech or other data-driven disciplines)

Strong foundation in probability, statistics, and numerical methods

Proficiency in Python (NumPy, pandas, or similar) and/or SQL

Experience working with large datasets and implementing quantitative models

Ability to think rigorously about complex systems and translate theory into practical solutions

Preferred Qualifications

Familiarity with quantitative finance concepts (e.g., portfolio theory, factor models, volatility modeling, Value-at-Risk)

Experience with scientific computing, optimization, or machine learning

Background or research in cross-disciplinary areas such as:

Statistical physics, complex systems, or network theory

Applied or computational mathematics

Machine learning or probabilistic modeling

Quantum computing or advanced optimization techniques

Topological data analysis or geometric data methods

Prior research, publications, or project work demonstrating advanced quantitative modeling

What Youโ€™ll Gain

Exposure to real-world portfolio risk problems at the intersection of finance and advanced analytics

Opportunity to apply cutting-edge academic methods in a production environment

Collaboration with a highly quantitative, cross-disciplinary team

Experience working with large-scale financial data and modern analytics infrastructure

Mentorship and potential pathway to full-time quantitative roles

Duration & Compensation

Internship: Summer 2026, with potential to extend

Paid internship (competitive, based on experience and location)