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Computational Research Jobs (NOW HIRING)

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 ...

As a world-renowned medical and research center, we strive to provide the best possible care ... The Computational Scientist - BioHPC will work on the daily operations of the HPC system, provide ...

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Computational Research information

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How much do computational research jobs pay per hour?

As of May 28, 2026, the average hourly pay for computational research in the United States is $54.93, according to ZipRecruiter salary data. Most workers in this role earn between $46.88 and $73.56 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in Computational Research, and why are they important?

To excel in Computational Research, a strong background in mathematics, computer science, and domain-specific knowledge is essential, often supported by advanced degrees such as a master's or PhD. Proficiency with programming languages (like Python, R, or C++), data analysis tools, and high-performance computing systems is typically required. Critical thinking, problem-solving, and effective collaboration are crucial soft skills for success in interdisciplinary research environments. These skills and qualities are important because they enable researchers to design innovative solutions, analyze complex data, and drive scientific discovery.

What are some common challenges faced by professionals in computational research, and how can they be addressed?

Professionals in computational research often encounter challenges such as managing large datasets, optimizing algorithms for efficiency, and ensuring reproducibility of results. Collaborating effectively with interdisciplinary teams—such as domain scientists, software engineers, and data analysts—can also be complex due to differing technical backgrounds. To address these challenges, it's essential to stay updated on the latest tools and best practices, document code thoroughly, and communicate regularly with collaborators to align goals and methodologies. Many organizations also offer mentorship programs and workshops to support ongoing professional development in these areas.

What is computational research?

Computational research involves using computer-based models, simulations, and data analysis to solve complex scientific and engineering problems. Researchers in this field use algorithms, software, and high-performance computing to analyze large datasets, perform simulations, and make predictions. This approach is widely used across disciplines such as physics, biology, chemistry, and engineering to complement experimental and theoretical work.

What is the difference between Computational Research vs Data Scientist?

AspectComputational ResearchData Scientist
Required CredentialsAdvanced degrees in computer science, mathematics, or related fieldsDegree in statistics, computer science, or related fields; certifications like SAS or Python
Work EnvironmentResearch labs, academic institutions, R&D departmentsCorporate settings, tech companies, finance, healthcare
Industry UsagePrimarily in academia, government, and research institutionsWidely in business, tech, and consulting sectors

Computational Research focuses on developing new algorithms and models for scientific discovery, often in academic or research settings. Data Scientists analyze and interpret large datasets to inform business decisions. While both roles require strong technical skills and programming knowledge, Computational Research emphasizes theoretical development, whereas Data Scientists focus on practical data analysis and insights.

More about Computational Research jobs
What are the most commonly searched types of Computational Research jobs? The most popular types of Computational Research jobs are:
Infographic showing various Computational Research job openings in the United States as of May 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Temporary. Highlights an 96% Physical, 3% Hybrid, and 1% Remote job distribution, with an average salary of $114,249 per year, or $54.9 per hour.

Research Intern, Computational

Profluent

Emeryville, CA • On-site, Remote

$1.67K/wk

Full-time, Internship

Posted 9 days ago


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