ZipRecruiter

Log In

1

Bioinformatics Machine Learning Internship Jobs in California

GATC Health

Bioinformatics Analyst - CA

Irvine, CA · On-site

Preferred : • Experience using or interfacing with machine learning algorithms. • Experience ... and bioinformatics innovation. Company : GATC Health uses AI to speed drug discovery, predict ...

Profluent

Machine Learning Scientist, BioML

Emeryville, CA · On-site +1

$200K - $330K/yr

We're looking for a motivated and creative Machine Learning (ML) Scientist to drive research into ... Previous experience in data extraction and curation from bioinformatics data sources * Familiarity ...

GATC Health

Bioinformatics Analyst - CA

Irvine, CA · On-site

$70K - $85K/yr

Experience using or interfacing with machine learning algorithms. * Experience analyzing and ... Computational biology and bioinformatics innovation. Why Join Us: * Opportunity to work at the ...

GATC Health

Bioinformatics Analyst - CA

Irvine, CA · On-site

$70K - $85K/yr

Experience using or interfacing with machine learning algorithms. * Experience analyzing and ... Computational biology and bioinformatics innovation. $70,000 - $85,000 a year Why Join Us: • ...

previous page

Showing results 41-60

All JobsBioinformatics Machine Learning JobsBioinformatics Machine Learning Internship JobsBioinformatics Machine Learning Internship Jobs in California

Bioinformatics Machine Learning Internship information

What is a bioinformatics machine learning internship?

A Bioinformatics Machine Learning Internship is a temporary position, usually for students or recent graduates, where interns gain hands-on experience applying machine learning techniques to biological data. Interns may work on projects like analyzing genomic sequences, predicting protein structure, or developing algorithms for biomedical research. The role involves coding, data analysis, and collaborating with scientists to solve real-world biological problems. It offers exposure to both computational methods and biological sciences, preparing interns for careers in bioinformatics, data science, or research.

What are the key skills and qualifications needed to thrive as a bioinformatics machine learning intern, and why are they important?

To thrive as a Bioinformatics Machine Learning Intern, you need a solid background in biology, statistics, and computer science, typically supported by relevant coursework or a degree in bioinformatics, computational biology, or a related field. Familiarity with programming languages like Python or R, experience using bioinformatics tools (e.g., BLAST, Bioconductor), and knowledge of machine learning frameworks such as TensorFlow or scikit-learn are highly valued. Attention to detail, problem-solving skills, and effective communication help interns collaborate on interdisciplinary teams and interpret complex datasets. These skills ensure interns can contribute meaningfully to research projects, derive insights from biological data, and communicate findings clearly.

What are some typical projects or tasks a bioinformatics machine learning intern might work on during their internship?

As a Bioinformatics Machine Learning Intern, you'll often contribute to projects that involve developing and testing algorithms for analyzing biological data, such as genomic sequences or protein structures. Typical tasks may include preprocessing large datasets, implementing machine learning models to identify patterns or make predictions, and visualizing results for team discussions. Interns frequently collaborate with both computational scientists and experimental biologists, gaining exposure to interdisciplinary teamwork and real-world applications. This hands-on experience helps interns build both technical and domain-specific skills, preparing them for advanced roles in bioinformatics or data science.

What is the difference between Bioinformatics Machine Learning Internship vs Bioinformatics Data Analyst Internship?

AspectBioinformatics Machine Learning InternshipBioinformatics Data Analyst Internship
Required SkillsProgramming, machine learning, bioinformatics toolsData analysis, statistical skills, bioinformatics tools
Work EnvironmentResearch labs, biotech companies, academic institutionsResearch labs, healthcare, biotech firms
Industry UsageDeveloping algorithms, predictive models in bioinformaticsAnalyzing biological data, generating reports

While both internships involve bioinformatics, the Bioinformatics Machine Learning Internship focuses on developing machine learning models and algorithms, whereas the Bioinformatics Data Analyst Internship emphasizes analyzing biological data and generating insights. Both roles require programming and bioinformatics skills but differ in their core focus and application.

What are the most commonly searched types of Bioinformatics Machine Learning jobs in California?

The most popular types of Bioinformatics Machine Learning jobs in California are:

What are popular job titles related to Bioinformatics Machine Learning Internship jobs in California?

For Bioinformatics Machine Learning Internship jobs in California, the most frequently searched job titles are:

What job categories do people searching Bioinformatics Machine Learning Internship jobs in California look for?

The top searched job categories for Bioinformatics Machine Learning Internship jobs in California are:

What cities in California are hiring for Bioinformatics Machine Learning Internship jobs?

Cities in California with the most Bioinformatics Machine Learning Internship job openings:

Bioinformatics Machine Learning Internship jobs near you
Infographic showing various Bioinformatics Machine Learning Internship job openings in California as of August 2026, with employment types broken down into 7% Internship, 72% Full Time, 14% Part Time, and 7% Temporary. Highlights an 100% In-person job distribution.

Bioinformatics Analyst - CA

GATC Health

Irvine, CA • On-site

Full-time

Re-posted 8 days ago

Job description

Job Summary:
GATC Health is an innovative TechBio company at the forefront of revolutionizing pharmaceutical discovery and accelerating their development through the integration of artificial intelligence. They are seeking a talented Bioinformatics Analyst to implement and aid in the design and analysis of software and informatics pipelines for various data analyses to support pharmaceutical asset development.
Responsibilities:
• Prep and Process data through GATC platform based on customer or internal end user requirements.
• Implement primary and secondary analysis tools for GATC’s assays.
• Work with cross-disciplinary R&D teams to develop and implement new discovery and risk assessment product applications.
• Aid in Development and implementation processes and algorithms for multi-modal datasets, scalable to very large numbers of samples.
• Engage with external collaborators on the evaluation of beta version products and analysis of novel data.
Qualifications:
Required:
• Degree in computational biology, bioinformatics, computer science or similar.
• Experience analyzing complex multi-omic datasets, including human or single cell data.
• Experience implementing, and evaluating novel bioinformatics algorithms and pipelines.
• Experience in programming in scripting (Python or similar) and interpreted languages (R, etc).
• Demonstrated ability to become proficient in new fields and work with interdisciplinary teams.
• Excellent verbal/written communication and interpersonal skills with scientist and non-scientists.
Preferred:
• Experience using or interfacing with machine learning algorithms.
• Experience analyzing and interpreting large-scale human or single cell datasets.
• Experience with professional software development methods and tools in a team environment.
• Experience in programming in scripting (Python), interpreted (R ) and compiled languages (C++ / Rust / Java).
• Experience working with collaborators, including lab scientists on multi-omic method development.
• Experience visualizing scientific datasets and results.
• Experience using cloud computing environments.
• Computational biology and bioinformatics innovation.
Company:
GATC Health uses AI to speed drug discovery, predict outcomes, and support research with data-driven healthcare insights. Founded in 2020, the company is headquartered in Irvine, USA, with a team of 11-50 employees. The company is currently Early Stage.

Apply