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Computational Biology Intern Jobs (NOW HIRING)

Bayer

Genomics Co-Op

Chesterfield, MO · On-site

$14.75 - $19.75/hr

Genomics Co-Op Major Tasks We are seeking a highly motivated Genomics Co-op/Intern to support the ... The successful candidate will work at the interface of computational biology, genomics, and plant ...

Bayer Inc.

Genomics Co-Op

Chesterfield, MO · On-site

$22.75 - $47.75/hr

Genomics Co-Op Major Tasks We are seeking a highly motivated Genomics Co-op/Intern to support the ... The successful candidate will work at the interface of computational biology, genomics, and plant ...

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Computational Biology Intern information

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$19.5K

$84.6K

$162.5K

How much do computational biology intern jobs pay per year?

As of Sep 8, 2026, the average yearly pay for computational biology intern in the United States is $84,583.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,500.00 and $120,000.00 per year, depending on experience, location, and employer.

What does a computational biology intern do?

A Computational Biology Intern applies computational and statistical techniques to analyze biological data, such as genomics, proteomics, or molecular simulations. They work with large datasets, develop algorithms, and use bioinformatics tools to extract meaningful insights. Interns may also assist in coding, machine learning applications, and data visualization to support research projects. Their role often involves collaborating with scientists and engineers to solve biological problems using computational approaches.

What are typical projects or tasks a computational biology intern might work on during their internship?

As a Computational Biology Intern, you may analyze large biological datasets, such as genomic or proteomic data, using programming and statistical tools. Common tasks include writing scripts to automate data processing, visualizing experimental results, and assisting with developing or testing new computational algorithms. You might also help maintain or curate biological databases and collaborate closely with laboratory scientists and senior bioinformaticians to interpret results. This hands-on experience helps you develop technical expertise and gain valuable insight into real-world research methods in computational biology.

What are the key skills and qualifications needed to thrive in the computational biology intern position, and why are they important?

To thrive as a Computational Biology Intern, you need a solid understanding of biology, statistics, and programming, often supported by coursework or research in bioinformatics or a related field. Familiarity with tools like Python or R, version control systems such as Git, and biological databases is highly beneficial. Strong analytical thinking, attention to detail, and effective communication skills help you work well within a research team and present findings clearly. These skills enable you to meaningfully contribute to computational projects, analyze complex biological data, and collaborate effectively in an interdisciplinary environment.

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Computational Biology Intern jobs near you
Infographic showing various Computational Biology Intern job openings in the United States as of September 2026, with employment types broken down into 19% Internship, 64% Full Time, 14% Part Time, 1% Temporary, 1% Contract, and 1% Summer. Highlights an 74% Physical, 2% Hybrid, and 24% Remote job distribution, with an average salary of $84,583 per year, or $40.7 per hour.

AI Scientist Intern, Computational Protein Design

Xaira Therapeutics

Seattle, WA • On-site

$10K - $15K/mo

Internship

Posted 10 days ago

Job description

About the Role

As an AI Scientist Intern on our Computational Protein Design team, you will work alongside talented scientists and engineers developing generative AI models for protein and antibody therapeutic design. During your internship, you will contribute to advancing state-of-the-art machine learning models for biology, with a focus on impacting protein/antibody design and drug discovery. You will also have the opportunity to collaborate with interdisciplinary experts in biology, drug discovery, and clinical research.

Responsibilities

  • Develop and apply deep learning methods for protein/antibody structure, sequence, or property modeling, under the guidance and mentorship of experienced scientists and engineers
  • Implement and train models on GPUs using PyTorch
  • Contribute to ongoing research projects involving protein structure, sequence, or biophysical/affinity datasets
  • Participate in discussions to help generate innovative ideas for advancing AI methodologies in computational protein design
  • Document findings and communicate progress effectively to peers and mentors

Qualifications

  • Currently pursuing a MS or PhD in Computer Science, Machine Learning, or a related technical field, with strong publication record
  • Hands-on experience with PyTorch and training/inference of AI models on GPUs
  • Strong interest in AI innovation and its applications to interdisciplinary fields such as biology and chemistry
  • Extensive hands-on experience with deep learning methods and frameworks
  • Ability to work collaboratively in a team environment and learn from experienced mentors
  • A scientifically curious mindset with a passion for exploring new challenges
  • Experience with large-scale distributed training and inference is a plus
  • Exposure to molecular structure or biological sequence data or computational biology/bioinformatics is a plus, but not required
  • Prior research experience demonstrated through publications and/or significant open source code authorship
  • Interest in contributing to open-source deep learning libraries and frameworks is a plus

Internship Duration
3 months
The expected monthly compensation range is $10,000-$15,000, depending on experience and qualifications. We are open to higher compensation for candidates with exceptional experience or impact. This internship is designed to provide a unique learning experience, offering hands-on exposure to the intersection of AI and computational protein design while allowing you to contribute meaningfully to real-world projects.

Apply