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Internship Biology Data Analyst Jobs (NOW HIRING)

MIT Human Resources

Data Analyst 2, SRS

Cambridge, MA · On-site

DATA ANALYST, SRS, COMPUTATIONAL BIOLOGIST, Computer Science and Artificial Intelligence Laboratory (CSAIL) -Computational Biology Group, to work at the interface of computational and experimental ...

R3TEK

Clinical Data Analyst

Hillsborough, NJ

R3 Technology Inc. seeks Clinical Data Analyst for it Hillsborough NJ office. Participate in ... Must have Master's degree in Bio-Informatics, Biology, Health Services Administration or related ...

R3tek

Clinical Data Analyst

Hillsborough, NJ · On-site

R3 Technology Inc. seeks Clinical Data Analyst for it Hillsborough NJ office. Participate in ... Must have Master's degree in Bio-Informatics, Biology, Health Services Administration or related ...

Legend Biotech USA, Inc.

... data ... The ideal candidate possesses a deep curiosity for biological systems, an analytical mindset, and ...

Randstad Digital

Data Analyst

Daytona Beach, FL · On-site

$21 - $24/hr

REQUIRED SKILLS & EXPERIENCE Experience: 0 to 2 years of professional experience in a data-centric, administrative, or analytical role (relevant internships are highly welcomed). Advanced Excel:

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

As of Aug 18, 2026, the average hourly pay for internship biology data analyst in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What does an internship biology data analyst do?

An Internship Biology Data Analyst assists in analyzing biological data, often using computational tools and statistical methods. They help collect, clean, and interpret large datasets from experiments or databases, contributing to research projects in fields like genetics, ecology, or molecular biology. Interns may also help visualize data, prepare reports, and communicate findings to research teams. This role provides valuable hands-on experience at the intersection of biology and data analysis, preparing students for careers in bioinformatics, research, or data science.

What are the key skills and qualifications needed to thrive as an internship biology data analyst?

To thrive as an Internship Biology Data Analyst, you need a solid background in biology, statistics, and data analysis, often supported by coursework in life sciences and basic programming. Familiarity with tools such as R, Python, Microsoft Excel, and bioinformatics databases is typically required. Attention to detail, problem-solving abilities, and effective communication help interns interpret complex data and present findings clearly. These skills ensure accurate data analysis and meaningful contributions to biological research projects.

What types of projects and data sets do biology data analyst interns typically work with during their internship?

Biology Data Analyst interns often work on projects involving the analysis of experimental or observational data from fields such as genomics, ecology, or molecular biology. You might analyze gene expression profiles, biodiversity datasets, or clinical trial results using statistical software and coding languages like R or Python. Interns usually collaborate closely with research scientists, biostatisticians, and fellow analysts, contributing to real-world projects that may be published or support ongoing research. This hands-on experience helps you develop skills in data cleaning, visualization, and communication of scientific findings.

What is the difference between Internship Biology Data Analyst vs Research Assistant in Biology?

AspectInternship Biology Data AnalystResearch Assistant in Biology
Required CredentialsUndergraduate or graduate in biology, data analysis skillsUndergraduate or graduate in biology, laboratory skills
Work EnvironmentData-focused, office or remote settingsLaboratory, fieldwork, research labs
Employer & Industry UsageUniversities, research institutes, biotech companiesUniversities, research labs, environmental agencies
Common Search & ComparisonYesNo

While both roles involve biology, the Internship Biology Data Analyst focuses on data analysis and interpretation, often in office or remote settings. In contrast, Research Assistants typically work hands-on in labs or field environments conducting experiments. The internship provides experience in data management, whereas research assistants engage in experimental procedures. Understanding these differences helps candidates choose roles aligned with their skills and career goals.

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Internship Biology Data Analyst jobs near you
Infographic showing various Internship Biology Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Staff Data Scientist, Computational Biology

Valo Health

Lexington, MA • On-site, Remote

$195K - $230K/yr

Full-time

Medical, Retirement

Re-posted 4 days ago

Job description

About Us
Valo Health is a human-centric, AI-enabled biotechnology company working to make new drugs for patients faster. The company's Opal Computational Platform transforms drug discovery and development through a unique combination of real-world data, AI, human translational models and predictive chemistry.
Our talented team of biologists, chemists and engineers, armed with advanced AI/ML tools, work together to break down traditional R&D silos and accelerate the speed and scale of drug discovery and development.
Valo is committed to hiring diverse talent, prioritizing growth and development, fostering an inclusive environment, and creating opportunities to bring together a group of different experiences, backgrounds, and voices to work together. We embrace new ways of learning, solve complex problems and welcome diverse perspectives that can help us advance patient-centric innovation.
Valo is headquartered in Lexington, MA, with additional offices in New York, NY and Tel Aviv, Israel. To learn more, visit www.valohealth.com.
About the Role
We are seeking an exceptional Staff Computational Biologist to drive the next generation of software and data products supporting Target Identification and Prioritization across our research organization. This hybrid role is ideal for someone who thrives at the intersection of biology, computation, product strategy, and engineering execution.
As a senior member of the Translational Platform Engineering team, you will act as a product owner, technical strategist, and rapid prototyper, responsible for shaping the roadmap and delivering tools that power discovery teams. Your day to day includes working with biology data scientists to harden their notebooks and workflows, pushing new releases to production (on a predictable schedule), and sitting with biologists and chemists as they use the UIs to advance our translational biology efforts. The Staff Computational Biologist is the key to translating use cases into technical specifications for engineering teams.
This is a highly visible and impactful role where you will contribute to a human-biology-first approach to drug discovery programs by leading the end-to-end lifecycle of platform capabilities used daily by our Target ID scientists.
What You'll Do...
  • Own the product roadmap for Target ID software.
  • Gather and prioritize scientific requirements from internal users.
  • Translate use cases into technical specifications for engineering teams.
  • Rapidly prototype computational solutions using Python.
  • Develop and maintain internal packages, reproducible workflows, and APIs.
  • Establish documentation, onboarding materials, and best practices for internal platform usage.
  • Lead cross-functional project execution (data engineering, software engineering).
  • Follow good engineering practices (i.e. CI/CD, predictable demo cadence, etc.)

What You Bring...
  • Bachelor's/ Master's degree in relevant field (computational biology, bioinformatics, systems biology, computer science) or equivalent relevant education and experience
  • 6+ years industry experience in computational biology or data-driven discovery; minimum 1 years' experience in software engineering and data engineering teams
  • Proficiency working with programming languages Python, and R, modern development frameworks and developing internal packages
  • Experience with omics/translational data analysis, scalable ETL pipelines, data modeling, and associated QC
  • 1+ years' experience leading complex projects as product owner
  • Experience supporting target identification, prioritization, or multi-modal analysis.

Nice to have...
  • Experience with dashboard development (e.g. Shiny, Dash, Streamlit, React, Veu.js).
  • Understanding of cloud-native tools and modern data platforms (AWS/GCP/Azure).
  • Familiarity with the drug discovery and development process is a plus

Remote Salary Range
$165,750-$195,000 USD
CA Salary Range
$195,585-$230,100 USD
Compensation for the role will depend on a number of factors, including a candidate's qualifications, skills, competencies, and experience. Valo Health currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Valo Health's good faith estimate as of the date of publication and may be modified in the future.
Please note: At this time, we are only able to consider candidates who currentlyhave permanent US work authorization without the need for immediate or future sponsorship.

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