ZipRecruiter

Log In

1

Computational Modeling Internship Jobs in California

Nace AI

Research Engineer

Palo Alto, CA · On-site

... and model optimization. Preferred : • PhD in Computer Science, Computational Linguistics, or ... internships, or contributions to open-source projects. • First-authored publications on language ...

next page

Showing results 1-20

All JobsComputational Modeling JobsComputational Modeling Internship JobsComputational Modeling Internship Jobs in California

Computational Modeling Internship information

What is a computational modeling internship?

A Computational Modeling Internship is a temporary position where students or recent graduates work with organizations to develop and use computer-based models to simulate real-world systems, processes, or phenomena. Interns in this role typically use programming, mathematics, and data analysis techniques to help solve complex problems in fields like engineering, biology, physics, or finance. The internship provides hands-on experience in model development, validation, and interpretation, often supporting research or product development projects. It is an opportunity to gain practical skills, collaborate with professionals, and contribute to innovative solutions.

What types of projects and collaborations can I expect during a computational modeling internship?

During a Computational Modeling Internship, you can expect to work on projects involving data analysis, simulation, and model development to solve real-world problems in fields like engineering, biology, or physics. Interns often collaborate closely with multidisciplinary teams, including researchers, software engineers, and data scientists. You'll likely contribute to ongoing research or product development by running simulations, interpreting results, and presenting findings to team members. This collaborative environment helps interns build both technical expertise and communication skills while gaining exposure to various aspects of computational modeling.

What are the key skills and qualifications needed to thrive as a computational modeling intern, and why are they important?

To thrive as a Computational Modeling Intern, you need a solid background in mathematics, programming (often Python or MATLAB), and familiarity with numerical methods, typically supported by coursework in computational science or engineering. Experience with modeling software, simulation tools, and version control systems like Git is highly valued. Strong analytical thinking, attention to detail, and effective communication set outstanding candidates apart. These skills are crucial for accurately developing, interpreting, and presenting complex models that inform research and decision-making.

What is the difference between Computational Modeling Internship vs Data Analyst Internship?

AspectComputational Modeling InternshipData Analyst Internship
Required SkillsProgramming, mathematical modeling, simulation toolsData analysis, statistics, visualization tools
Work EnvironmentResearch labs, tech companies, academiaBusiness, finance, healthcare sectors
Common Industry UsageEngineering, scientific research, simulation projectsBusiness intelligence, market analysis, reporting

While both internships involve data handling and technical skills, Computational Modeling Internships focus on developing and applying mathematical models and simulations, often in research or scientific contexts. Data Analyst Internships emphasize analyzing datasets to extract insights for business decisions. The choice depends on your career goals: research and modeling or data-driven business analysis.

What are the most commonly searched types of Computational Modeling jobs in California?

The most popular types of Computational Modeling jobs in California are:

What are popular job titles related to Computational Modeling Internship jobs in California?

For Computational Modeling Internship jobs in California, the most frequently searched job titles are:

What job categories do people searching Computational Modeling Internship jobs in California look for?

The top searched job categories for Computational Modeling Internship jobs in California are:

What cities in California are hiring for Computational Modeling Internship jobs?

Cities in California with the most Computational Modeling Internship job openings:

Computational Modeling Internship jobs near you
Infographic showing various Computational Modeling Internship job openings in California as of August 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

Computational design of biological experiments for model development

Inceptive

Palo Alto, CA • On-site

$135K - $240K/yr

Part-time

Medical, Retirement, PTO

Re-posted 13 days ago

Job description

At Inceptive, you will help pioneer the next generation of AI-designed drugs, with the potential to positively impact billions of people, as part of a collaborative, antedisciplinary team.
We advance the state of the art in molecular design by training large-scale foundation models that enable cutting-edge generative approaches. Those models learn from diverse biological datasets and are refined through focused experimentation, large-scale training, and feedback from lab measurements. Progress depends not only on building better models, but also on understanding what they learn, where they fail, how data shapes their behavior, and how to evaluate them against biologically meaningful objectives.
You will collaborate closely with AI researchers and biologists to rigorously characterize the behavior, capabilities, and limitations of biological foundation models and their applications. You will identify valuable datasets, develop meaningful evaluations, investigate model behavior, and generate insights that guide model development, data strategy, and experimental priorities across the company.
Your Mission, should you choose to accept it
  • Embody our vision of an antedisciplinary environment and embrace learning about areas outside of your traditional area of expertise
  • Investigate how model performance changes with data quantity, data quality, dataset composition, and training methodology
  • Develop biologically meaningful evaluations and benchmarks that measure progress toward therapeutic design objectives
  • Design and execute rigorous experiments to understand the behavior, capabilities, and limitations of biological foundation models
  • Identify sources of potential artifacts, bias, and noise in biological datasets
  • Identify promising biological datasets for model training and evaluation, and develop computational pipelines for preprocessing, quality control, and exploratory analysis.
  • Design studies, in silico or in the lab, that reveal what models have learned and which biological signals drive model behavior
  • Work with biologists to formulate hypotheses and translate biological questions into measurable machine learning experiments
  • Partner with AI researchers and engineers to prioritize research directions, data collection efforts, and model improvements
  • Analyze, visualize, and communicate experimental findings to inform decisions across teams

Qualifications
  • PhD in computational biology, statistics, physics, machine learning, or a related quantitative discipline, or equivalent practical experience, with record of publications or open source tooling in these fields
  • Strong quantitative reasoning and statistical intuition
  • Demonstrated ability to identify important scientific questions, design rigorous investigations, and draw reliable conclusions from complex biological data.
  • Experience analyzing high throughput sequencing data (e.g. RNA-seq, functional genomics / transcriptomics, MPRA), with a focus on robust statistical analysis
  • Experience collaborating closely with AI/machine learning researchers or applying machine learning or generative AI tools to scientific problems
  • Familiarity with current AI/machine learning methods, including generative foundation models, representation learning, and model evaluation
  • Familiarity with publicly available biological datasets and data derived from high throughput assays
  • Capable programmer in Python and common scientific computing libraries
  • Excellent written and verbal communication skills, including the ability to explain complex findings to audiences with diverse technical backgrounds
  • Availability to work with team members across US and Europe, with meetings starting at 8am PT and ending at 7pm CET
  • Readiness to travel several times a year for company retreats and business events
  • We value the benefits of in-person collaboration and expect candidates to primarily work from our office locations

Preferred technical skills
  • 3+ years of post-PhD experience in computational biology, biostatistics, machine learning research, or a related field

Compensation
$135K - $240K + Bonus + Equity
What we offer
  • A competitive compensation package
  • 30 days paid vacation per year
  • Comprehensive health insurance for US based Beginners
  • 401K with company match for US based Beginners and Direktversicherung for German Beginners
  • Quarterly company-wide retreats
  • Monthly wellness benefit
  • Budget for multiple visits per year to our offices in Berlin, Palo Alto or Switzerland
  • Learning & Development budget to attend conferences, take courses, or otherwise invest in your professional growth
  • A buddy to help you get settled

*Varies by country and does not apply to internships
At Inceptive, we are creating tools to develop increasingly powerful biological software for the rational design of novel, broadly accessible medicines and biotechnologies previously out of reach. Our team brings together vast expertise in molecular biology, machine learning, and software engineering, and we are all working towards becoming antedisciplinary, meaning we deepen the knowledge we have in our area of expertise while also expanding our knowledge of completely new fields.
We approach our goals with a Beginner's mind, humbly and with fresh eyes, and aim to become the pioneers of a new discipline rooted in biology as much as in deep learning, whose impact will be realized together with out-of-the-box thinkers in business and entrepreneurship, defying established categorizations. We are building a company culture centered around growth, learning, and discovery. We believe in humility and open-mindedness in how we approach each other, as well as problems we don't yet have solutions for.
It is the policy of Inceptive to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Inceptive prohibits any such discrimination or harassment.
Inceptive is also committed to welcoming and providing accommodations to people with disabilities. Please let us know if you need any accommodations throughout your application process.

Apply