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Intern Computational Scientist Jobs (NOW HIRING)

Profluent

Research Intern, Computational

Emeryville, CA · On-site

$1.6K/wk

We are seeking a passionate Computational Research Intern to join moonshot projects at the ... This is a rare opportunity to tackle open-ended scientific and engineering challenges with direct ...

Alljoined

Research Intern (Fall)

San Francisco, CA · On-site

$30/hr

About the Role As a Research Intern , you will contribute to building the computational ... About You * Currently pursuing or recently completed a degree in Computer Science, Software ...

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Intern Computational Scientist information

What are the key skills and qualifications needed to thrive as an Intern Computational Scientist, and why are they important?

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.

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.

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 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.
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Intern Computational Scientist jobs near you
Infographic showing various Intern Computational Scientist job openings in the United States as of June 2026, with employment types broken down into 88% Full Time, and 12% Part Time. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution.

Research Intern, Computational

Profluent

Emeryville, CA • On-site

$1.6K/wk

Other

This job post has expired today. Applications are no longer accepted.

Job description

Profluent is an AI-first protein design company. Founded in 2022, we develop deep generative models to design and validate novel, functional proteins to revolutionize biomedicine. Based in Emeryville, CA, we are backed by leading investors including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures, and have raised over $150M to date.
Our generative models learn the blueprint of life by modeling large-scale evolutionary data, enabling us to engineer and write biology in unprecedented ways. We are seeking a passionate Computational Research Intern to join moonshot projects at the intersection of bioinformatics and machine learning.
This is a rare opportunity to tackle open-ended scientific and engineering challenges with direct potential for high-impact publications and real-world applications in synthetic biology and protein engineering.
Responsibilities

  • Design and implement computational approaches to advance cutting-edge research in bioinformatics and machine learning
  • Analyze large-scale genomic and protein datasets to uncover new biological insights and capabilities
  • Collaborate closely with scientists and engineers across machine learning, protein engineering, and biology teams
  • Document and present research findings internally, with the potential to publish in leading journals and conferences
Qualifications
  • Enrolled in a BS, MS, or PhD program in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field
  • Strong programming skills in Python and familiarity with scientific computing libraries (e.g., NumPy, pandas, Jupyter)
  • Experience in one or more of the following: machine learning, large-scale data analysis, genomics, or protein bioinformatics
  • Excellent problem-solving skills, scientific curiosity, and ability to work both independently and collaboratively
Internship Details
  • Typical duration: 12 weeks, with flexible start dates
  • Hybrid: 2 - 3 days on-site per week in our Emeryville, CA headquarters
  • Salary: $1,667 per week
  • Opportunity to publish your work and make a lasting impact in computational biology and AI-driven protein design
What We Offer
  • Work on moonshot projects at the frontier of AI and biology
  • Mentorship from leading experts in bioinformatics, machine learning, and synthetic biology
  • A dynamic, mission-driven environment with the resources of a fast-growing, well-funded startup
  • Competitive internship compensation and benefits

Apply