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Intern Computational Scientist Jobs (NOW HIRING)

Bosch Group

Electrochemistry Modeling Intern

Sunnyvale, CA · On-site

$41 - $55/hr

Strong focus is placed on development and application of computational methods for understanding of ... BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics) Initiatives

Bosch Group

Electrochemistry Modeling Intern

Sunnyvale, CA · On-site

$41 - $55/hr

Strong focus is placed on development and application of computational methods for understanding of ... BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics) Initiatives

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Intern Computational Scientist information

What is an intern computational scientist?

An Intern Computational Scientist is a student or recent graduate who assists with research and problem-solving using computational methods, simulations, and data analysis. They typically work under the guidance of experienced scientists to develop algorithms, run simulations, and analyze large datasets. This role is common in industries like pharmaceuticals, engineering, and academia, and helps interns gain hands-on experience in scientific computing and programming. Interns often contribute to ongoing projects and may use programming languages such as Python, R, or MATLAB.

What are the key skills and qualifications needed to thrive as an intern computational scientist?

To excel as an Intern Computational Scientist, you need a solid background in mathematics, programming (often Python, C++, or R), and a relevant field such as physics, engineering, or computer science. Familiarity with scientific computing tools like MATLAB, simulation software, or high-performance computing environments is typically expected. Strong problem-solving abilities, attention to detail, and effective teamwork and communication skills are highly valued. These skills enable interns to contribute meaningfully to research projects, analyze complex data, and collaborate efficiently within interdisciplinary teams.

How does an intern computational scientist typically collaborate with more experienced team members during projects?

As an Intern Computational Scientist, you’ll often work closely with senior scientists and engineers on various research and development projects. Collaboration usually involves participating in regular team meetings, sharing progress updates, and seeking feedback on your code and analyses. Interns frequently pair with mentors or project leads, who provide guidance on best practices, troubleshooting, and integrating your work into larger research efforts. This collaborative environment helps interns learn quickly, contribute meaningfully, and build valuable professional relationships.

What is the difference between Intern Computational Scientist vs Intern Data Analyst?

AspectIntern Computational ScientistIntern Data Analyst
Required CredentialsTypically pursuing or holding a degree in computational science, computer science, or related fieldsUsually pursuing or holding a degree in statistics, data science, or related fields
Work EnvironmentResearch labs, tech companies, or scientific institutions focusing on simulations and modelingBusiness, marketing, or finance departments analyzing data sets
Employer & Industry UsageResearch institutions, tech firms, scientific organizationsCorporations, consulting firms, government agencies

Intern Computational Scientists and Intern Data Analysts often share skills in programming and data handling. However, the former focuses more on scientific computing, simulations, and modeling, while the latter emphasizes data interpretation and reporting. Both roles serve different industry needs but may overlap in data analysis tasks.

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Intern Computational Scientist jobs near you
Infographic showing various Intern Computational Scientist job openings in the United States as of August 2026, with employment types broken down into 43% Internship, and 57% Full Time. Highlights an 71% In-person, and 29% Remote job distribution.

AI Scientist Intern, Computational Protein Design

Xaira Therapeutics

Seattle, WA

$10K - $15K/mo

Internship

Posted 4 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