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Bioinformatics Research Intern Jobs in California

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 ...

Wehave an opening for a Machine Learning (ML) Bioengineer to conduct research training and ... bioinformatics, and interface with experimentalists generating large datasets via novel high ...

We have an opening for a Machine Learning (ML) Bioengineer to conduct research training and ... bioinformatics, and interface with experimentalists generating large datasets via novel high ...

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Bioinformatics Research Intern information

What are the key skills and qualifications needed to thrive as a Bioinformatics Research Intern, and why are they important?

To thrive as a Bioinformatics Research Intern, you need a solid background in biology, statistics, and computer science, often supported by coursework or a degree in bioinformatics or a related field. Familiarity with programming languages like Python or R, experience using bioinformatics tools (e.g., BLAST, Galaxy), and knowledge of databases such as GenBank are typically expected. Strong problem-solving skills, attention to detail, and the ability to communicate complex data effectively are crucial soft skills in this role. These capabilities enable accurate data analysis, meaningful scientific discoveries, and effective collaboration within research teams.

What types of projects and collaborations can a Bioinformatics Research Intern expect to be involved in?

As a Bioinformatics Research Intern, you will typically work on projects involving the analysis of biological data, such as genomics, transcriptomics, or proteomics datasets. You may collaborate closely with wet-lab scientists, senior bioinformaticians, and software engineers to develop pipelines, interpret results, and present findings. Interns often have the opportunity to contribute to research publications or internal reports, gaining exposure to both computational and experimental aspects of the field. The work environment tends to be highly interdisciplinary, fostering learning and skill development in both biology and data science.

What does a Bioinformatics Research Intern do?

A Bioinformatics Research Intern assists in the analysis and interpretation of biological data using computational tools and methods. Their tasks often include processing large datasets, developing and applying algorithms, and supporting ongoing research projects in genomics, proteomics, or related fields. Interns collaborate with researchers and scientists, contribute to data visualization, and may help in preparing reports or presentations. This role provides hands-on experience at the intersection of biology and computer science, helping interns build valuable skills for a future career in bioinformatics.
What are the most commonly searched types of Bioinformatics Research jobs in California? The most popular types of Bioinformatics Research jobs in California are:
What job categories do people searching Bioinformatics Research Intern jobs in California look for? The top searched job categories for Bioinformatics Research Intern jobs in California are:
What cities in California are hiring for Bioinformatics Research Intern jobs? Cities in California with the most Bioinformatics Research Intern job openings:
Infographic showing various Bioinformatics Research Intern job openings in California as of May 2026, with employment types broken down into 10% Internship, 43% Full Time, 2% Part Time, and 45% Contract. Highlights an 4% Physical, 3% Hybrid, and 93% Remote job distribution.

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