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Intern Computational Scientist Jobs (NOW HIRING)

The Chemours Company

AI & Data Science Intern

The Generative AI & Data Science Intern will work closely with our team to create and deploy ... Computational Chemistry, or other a very similar field to those * 2+ years of programming ...

The Chemours Company

AI & Data Science Intern

The Generative AI & Data Science Intern will work closely with our team to create and deploy ... Computational Chemistry, or other a very similar field to those * 2+ years of programming ...

Meta

Research Scientist Intern, AI Alignment

Boston, MA

$7.6K - $12K/mo

... computational statistics, applied mathematics and security/privacy. Our interns have an opportunity ... Research Scientist Intern, AI Alignment Responsibilities: * Develop novel state-of-the-art ...

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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.

2027 Spring Intern - OpRegen Machine Learning

Genentech, Inc.

South San Francisco, CA • On-site

$26 - $50/hr

Full-time

PTO

Posted 9 days ago

Genentech rating

8.8

Company rating: 8.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

11th of 86 rated pharmaceutical

Job description

2027 Spring Intern - OpRegen Machine Learning
Department Summary
The OpRegen ML team develops machine learning tools that help us understand the biology behind the OpRegen manufacturing process and give our teams objective, quantitative metrics where today we rely on infrequent and subjective observation. OpRegen is an allogeneic hESC-derived cell therapy in development for geographic atrophy (advanced dry AMD), manufactured through hESC expansion, RPE differentiation, and RPE expansion. We're building ML models to capture cell morphology from routine microscopy images, non-invasively and at scale.
This internship position is located in South San Francisco, on-site.
The Opportunity
This internship centers on our in-house morphology capability, a platform we call Cellestial. The core opportunity is to turn generated imaging data into insight - running our models across the images and exploring the results for correlations with phenotypic properties - and to help extend the capability further.
The intern will work closely with our computational team and with the wet-lab, Process Development, and gRED scientists who generate the data and act on the results. This internship offers the opportunity to shape the specifics around the intern's strengths and interests, anchored to the core deliverable of analyzing the already obtained images.
  • Data analysis and insight - exploring the imaging data for correlations between morphological features and phenotypic properties, and reporting the findings
  • Model deployment and automation - helping automate inference on new data using our compute infrastructure, so results are generated as data arrives
  • Visualization and tooling - building tools to explore results and connect them back to their experimental context
  • Translation to the process - working with our lab, Process Development, and manufacturing partners to identify the metrics that matter most
  • Applied research - collaborating with research scientists on questions the morphology data can help answer
  • Data annotation and modeling - annotating additional imaging data and contributing to related model work

Program Highlights
  • Intensive 6 months, full-time (40 hours per week) paid internship.
  • Program start dates are in January 2027 (Spring).
  • A stipend, based on location, will be provided to help alleviate costs associated with the internship.
  • Ownership of challenging and impactful business-critical projects.
  • Work with some of the most talented people in the biotechnology industry.

Who You Are (Required)
Required Education
You meet one of the following criteria:
  • Must be pursuing or have attained an Associate's Degree.
  • Must be pursuing a Bachelor's Degree (enrolled student).
  • Must have attained a Bachelor's Degree (not currently enrolled in a graduate program).
  • Must be pursuing a Master's Degree (enrolled student).
  • Must have attained a Master's Degree.

Required Majors: Any quantitative or engineering discipline, such as computer science, data science, biomedical engineering, computational biology or physics.
Required Skills:
  • A solid understanding of machine learning and deep learning fundamentals, with substantial hands-on experience required.
  • Strong Python, and comfortable working in a complex and mature codebase and a shared Git repository.
  • Genuine strength in at least one of: computer vision, statistics and data analysis, software engineering and MLOps, or data visualization and tooling.
  • Curious, coachable, and able to work independently, comfortable with some ambiguity and with helping shape their own work.

Preferred Knowledge, Skills, and Qualifications
  • Excellent communication, collaboration, and interpersonal skills.
  • Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion.
  • Image analysis.
  • PyTorch.
  • High-performance computing (SLURM).

Relocation benefits are not available for this job posting.
The expected salary range for this position based on the primary location of California is $26.00-$50.00 per hour. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. This position also qualifies for paid holiday time off benefits.
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

What Genentech employees say

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About Genentech

Sourced by ZipRecruiter

A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

South San Francisco, CA, US

Year founded

1976

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