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Biological Data Science Internship Jobs (NOW HIRING)

Jobgether

This role offers an opportunity to combine biological science, data management, and digital innovation within global agricultural product development. You will help ensure biological development data ...

Faire

Data Science Intern

San Francisco, CA · On-site

$75/hr

Data Science Internship - Fall 2026 Faire leverages machine learning and data insights to transform the wholesale industry, giving independent retailers the tools to compete with large-scale e ...

Louisiana State University

Assistant/Associate Professor (Computational Biology/Data Science) Position Type:Faculty Department:LSUAG PL1 - Department of Plant Pathology and Crop Physiology (Lawrence E Datnoff (00013100)) Work ...

LSU AgCenter

Assistant/Associate Professor (Computational Biology/Data Science) Position Type:Faculty Department:LSUAG PL1 - Department of Plant Pathology and Crop Physiology (Lawrence E Datnoff (00013100)) Work ...

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Biological Data Science Internship information

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How much do biological data science internship jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for biological data science internship in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is a biological data science internship?

A Biological Data Science Internship is a temporary position for students or recent graduates to gain practical experience working at the intersection of biology and data science. Interns typically analyze biological datasets using computational tools, statistical methods, and programming languages such as Python or R. They may work on projects involving genomics, bioinformatics, drug discovery, or ecological modeling. The internship helps individuals develop both technical and domain-specific skills, preparing them for future careers in research, biotechnology, or academia.

What types of projects do interns typically work on during a biological data science internship?

Biological Data Science interns often work on projects involving the analysis of large biological datasets, such as genomic, proteomic, or clinical data. Typical tasks may include cleaning and preprocessing data, developing statistical models, and visualizing complex biological patterns. Interns frequently collaborate with both data scientists and biologists, gaining exposure to interdisciplinary teamwork and real-world research challenges. This hands-on experience helps interns build both their technical and scientific communication skills, making it a valuable stepping stone for careers in bioinformatics, computational biology, or related fields.

What are the key skills and qualifications needed to thrive as a biological data science intern, and why are they important?

To thrive as a Biological Data Science Intern, you need a solid background in biology, statistics, and programming, often supported by coursework or a degree in bioinformatics or a related field. Familiarity with tools like Python, R, and data analysis platforms, as well as experience with genomic databases and visualization software, is typically expected. Strong problem-solving, attention to detail, and teamwork skills help interns excel in collaborative research environments. These abilities enable accurate analysis of complex biological data and contribute to meaningful scientific discoveries.

What is the difference between Biological Data Science Internship vs Biological Data Analyst?

AspectBiological Data Science InternshipBiological Data Analyst
Required CredentialsUndergraduate or graduate student in biology, data science, or related fieldBachelor's or master's in biology, data science, or related field; sometimes requires experience
Work EnvironmentResearch labs, biotech companies, academic institutions, often temporary or project-basedCorporate or research settings, ongoing role with regular hours
Employer & Industry UsageInternships offered by biotech firms, research institutions, universitiesFull-time roles in biotech, pharmaceuticals, research organizations

The Biological Data Science Internship is typically a temporary, entry-level position aimed at students gaining practical experience, whereas a Biological Data Analyst is a full-time role requiring more experience and responsibility. Internships focus on learning and skill development, while analysts handle ongoing data analysis tasks in professional settings.

More about Biological Data Science Internship jobs

What cities are hiring for Biological Data Science Internship jobs?

Cities with the most Biological Data Science Internship job openings:

What states have the most Biological Data Science Internship jobs?

States with the most job openings for Biological Data Science Internship jobs include:

What job categories do people searching Biological Data Science Internship jobs look for?

The top searched job categories for Biological Data Science Internship jobs are:

Biological Data Science Internship jobs near you
Infographic showing various Biological Data Science Internship 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 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

Development Data & Biological Assessment Specialist

Jobgether

On-site, Remote

Full-time

Posted 7 days ago

Key responsibilities

  • Conduct data quality checks, resolve issues, and manage trial data from multiple sources to ensure biological development data is accurate, accessible, reliable, and ready to support decisions.

  • Collect, prepare, analyze, and present biological data to support seasonal results reviews, Biological Assessment Dossier preparation, and data-driven product development decisions.

  • Lead and coordinate Biological Assessment Dossier activities from project initiation through submission, tracking timelines, deliverables, data readiness, dependencies, and potential risks.

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Development Data & Biological Assessment Specialist based in Netherlands.

This role offers an opportunity to combine biological science, data management, and digital innovation within global agricultural product development.
You will help ensure biological development data is accurate, accessible, reliable, and ready to support critical decisions.
The position spans data quality, analysis, reporting, dossier coordination, regulatory readiness, and cross-functional collaboration.
You will contribute throughout the product development lifecycle, from project initiation and seasonal reviews through Biological Assessment Dossier preparation and submission.
Working with technical, regulatory, and development stakeholders, you will help identify risks and turn complex data into actionable insights.
You'll also have the opportunity to improve processes through automation, dashboards, visualization, and AI-enabled solutions.
This is a strong opportunity for a scientifically minded data professional who enjoys working across disciplines in an international environment.

Accountabilities
  • Drive the quality, integrity, validation, and accessibility of biological development data by conducting data quality checks, resolving issues, and managing trial data from multiple sources.
  • Collect, prepare, analyze, and present biological data to support seasonal results reviews, Biological Assessment Dossier preparation, and data-driven product development decisions.
  • Lead and coordinate Biological Assessment Dossier activities from project initiation through submission, tracking timelines, deliverables, data readiness, dependencies, and potential risks.
  • Proactively identify project risks and develop appropriate mitigation actions to keep biological assessment activities on track.
  • Collaborate with regional technical managers, regulatory stakeholders, and multidisciplinary development teams to provide biological data expertise and support regulatory readiness.
  • Contribute to the preparation and delivery of high-quality biological assessment documentation throughout the product development lifecycle.
  • Identify opportunities to automate processes, optimize workflows, and standardize biological data management practices across development activities.
  • Develop dashboards, data visualizations, and AI-enabled solutions that improve project tracking, data accessibility, reporting, and operational efficiency.
  • Support the implementation of strong data management and governance practices while continuously improving the reliability and usability of biological information.
Requirements
  • Bachelor's or Master's degree in Crop Science, Biology, Agronomy, Agricultural Sciences, Life Sciences, Biotechnology, Data Science, or a related discipline.
  • Professional experience in biological data management, R&D data support within crop science, Biological Assessment Dossier preparation, or multidisciplinary project coordination.
  • Experience working with biological or agricultural datasets from multiple sources and applying data quality, validation, and governance principles.
  • Strong data analytics, reporting, and visualization capabilities, with familiarity with data management systems and tools.
  • Working knowledge of plant protection regulations, product registration requirements, or biological dossier preparation.
  • Experience with SQL and/or Power BI is an advantage.
  • Strong analytical and problem-solving skills, with the ability to identify data issues, investigate their causes, and develop practical solutions.
  • Excellent organizational and project coordination skills, including the ability to manage timelines, deliverables, risks, and multiple stakeholders.
  • Strong stakeholder management and communication abilities, with confidence collaborating across technical, regulatory, and international teams.
  • Interest in AI, automation, digital innovation, and continuous process improvement, combined with a proactive and collaborative mindset.
Benefits
  • Opportunity to contribute to data-driven innovation within global agricultural and crop protection product development.
  • Europe-remote working arrangement.
  • International and multidisciplinary working environment.
  • Exposure to biological research, regulatory processes, data management, and digital transformation.
  • Opportunity to work with modern analytics, visualization, automation, and AI-enabled solutions.
  • Meaningful involvement across the full product development lifecycle.
  • Collaborative environment with technical, regulatory, and development professionals.
  • Opportunities to improve processes, introduce new technologies, and influence operational excellence.
  • Professional development through exposure to global projects and cross-functional initiatives.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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