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Biological Data Science Internship Jobs (NOW HIRING)

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 ...

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 ...

Louisiana Workforce Commission

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 ...

Arcadia Science

Quantitative Biologist

Emeryville, CA · On-site +1

$150K - $200K/yr

... to scientists with diverse backgrounds. They have hands-on bench experience, generating biological data themselves and understanding the experimental realities that shape what analysis is even ...

Arcadia Science

Quantitative Biologist

Emeryville, CA · On-site +1

$150K - $200K/yr

... to scientists with diverse backgrounds. They have hands-on bench experience, generating biological data themselves and understanding the experimental realities that shape what analysis is even ...

Arcadia Science

Quantitative Biologist

Emeryville, CA · On-site

$150K - $200K/yr

... to scientists with diverse backgrounds. They have hands-on bench experience, generating biological data themselves and understanding the experimental realities that shape what analysis is even ...

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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 Jul 24, 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 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 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 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.

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.
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What cities are hiring for Biological Data Science Internship jobs? Cities with the most Biological Data Science Internship job openings:
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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 July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 11% Part Time, and 1% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.
Scientist, Data Science, Computational Receptor Biology - Long Island City, NY

Scientist, Data Science, Computational Receptor Biology - Long Island City, NY

dsm-firmenich

Manhattan, NY • On-site

Full-time

Posted 21 days ago

DSM-Firmenich rating

8.6

Company rating: 8.6 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

26th of 535 rated manufacturers

Job description

Job Summary:
dsm-firmenich is a global company focused on leveraging science and creativity to enhance nutrition, health, and beauty. They are seeking a highly skilled Scientist in Data Science specialized in Computational Receptor Biology to drive interdisciplinary science projects and collaborate with experts in the field. The role involves building datasets, supporting predictive modeling, and applying machine learning techniques to biological data.
Responsibilities:
• Build and curate high‑quality, model‑ready datasets from heterogeneous receptor screening data, including mixtures, natural products, and noisy biological readouts.
• Integrate receptor biology, assay context, and chemical representations to support predictive modeling and biologically meaningful interpretation.
• Design robust dataset splits, benchmarks, and evaluation frameworks (e.g., receptor‑aware, scaffold‑aware, temporal) to ensure reliable model assessment.
• Support and execute active learning and experimental prioritization strategies, translating model uncertainty into concrete experimental recommendations.
• Collaborate closely with experimentalists, ML scientists, physicists, and ingredient modeling partners to close the data → model → experiment → insight loop.
• Apply modern software development and machine learning tools and practices in your daily work, including a high level of proficiency in python. Familiarity with good use of coding agents preferred.
Qualifications:
Required:
• Masters, Ph.D. or similar experience in Computer Science, Bioinformatics, Chemistry, Structural Biology, AI, or a related field.
• 1+ years of additional academic or industrial work experience in ingredients, or small molecule discovery, ideally in the chemosensory biology field.
• Strong grounding in receptor biology and functional assay data, with the ability to reason about biological relevance beyond raw predictions.
• Hands‑on experience in cheminformatics and bioinformatics, including chemical standardization, annotation, and integration of complex libraries.
• Practical experience applying machine learning to real, noisy biological datasets, including uncertainty‑aware or baseline predictive models.
• Working knowledge of active learning, experimental design, or learning‑efficiency concepts in screening or discovery settings.
• A collaborative, scientifically curious mindset, with enthusiasm for learning across modeling approaches and engaging regularly with experimental teams.
• Proficiency in modern ML, python, good code management, and working with CI/CD pipelines.
Preferred:
• Familiarity with good use of coding agents
Company:
dsm-firmenich produces ingredients, flavors, fragrances, and scientific services for food, health, beauty, and animal care products. Founded in 1902, the company is headquartered in Maastricht, NLD, with a team of 10001+ employees. The company is currently Late Stage.

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