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Bioinformatics Machine Learning Internship Jobs in Anaheim, CA

ChromoLogic

Senior Scientist, Bioinformatics

Monrovia, CA · On-site

$90K - $120K/yr

Apply advanced machine learning, Bayesian statistics, and predictive modeling techniques to identify biologically meaningful patterns and biomarkers * Design and execute end-to-end analytical ...

ChromoLogic

Senior Scientist, Bioinformatics

Monrovia, CA · On-site

$90K - $120K/yr

Apply advanced machine learning, Bayesian statistics, and predictive modeling techniques to identify biologically meaningful patterns and biomarkers * Design and execute end-to-end analytical ...

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 ...

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: • ...

Moffitt

Research Software Engineer

Long Beach, CA · On-site

$215K/yr

This position is part of the Goecks Laboratory ( which is in the Departments of Machine Learning and Biostatistics and Bioinformatics at the Moffitt Cancer Center. The Goecks Laboratory develops data ...

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All JobsBioinformatics Machine Learning JobsBioinformatics Machine Learning Internship JobsBioinformatics Machine Learning Internship Jobs in Anaheim, CA

Bioinformatics Machine Learning Internship information

See Anaheim, CA salary details

$26.7K

$44.6K

$92.1K

How much do bioinformatics machine learning internship jobs pay per year?

As of Aug 15, 2026, the average yearly pay for bioinformatics machine learning internship in Anaheim, CA is $44,581.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,000.00 and $48,200.00 per year, depending on experience, location, and employer.

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 job categories do people searching Bioinformatics Machine Learning Internship jobs in Anaheim, CA look for?

The top searched job categories for Bioinformatics Machine Learning Internship jobs in Anaheim, CA are:

What cities near Anaheim, CA are hiring for Bioinformatics Machine Learning Internship jobs?

Cities near Anaheim, CA 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 Anaheim, CA as of June 2026, with employment types broken down into 2% As Needed, 72% Full Time, 18% Part Time, 2% Temporary, 2% Contract, and 4% Nights. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $44,581 per year, or $21.4 per hour.

Senior Scientist, Bioinformatics

ChromoLogic

Monrovia, CA • On-site

$90K - $120K/yr

Full-time

Posted 24 days ago

Job description

Drive the Future of Precision Medicine

ChromoLogic is advancing transformative biomedical technologies through cutting-edge research and development programs focused on nucleic acid biomarkers and next-generation diagnostics. We are seeking an innovative and highly motivated Senior Scientist, Bioinformatics to lead the discovery, development, and validation of novel biomarkers for prognostic and precision medicine applications.

This role offers an opportunity to work at the forefront of genomics, machine learning, and translational research. The successful candidate will collaborate closely with multidisciplinary teams of scientists, data analysts, and external partners to transform complex biological data into actionable insights that improve patient outcomes.

ChromoLogic LLC (www.chromologic.com) is a world-class innovation center with advanced scientific research and development in the medical, aerospace and security markets.


What You'll DoScientific Leadership & Innovation
  • Lead bioinformatics efforts supporting the discovery and validation of nucleic acid biomarkers
  • Develop, optimize, and maintain robust computational pipelines for NGS and multi-omics data analysis
  • Apply advanced machine learning, Bayesian statistics, and predictive modeling techniques to identify biologically meaningful patterns and biomarkers
  • Design and execute end-to-end analytical strategies, from hypothesis generation and experimental planning through data interpretation and reporting
Cross-Functional Collaboration
  • Partner with molecular biologists, experimental scientists, clinicians, and external collaborators to drive research programs forward
  • Translate complex computational results into clear scientific recommendations and business-relevant insights
  • Contribute to strategic planning and research initiatives across the organization's portfolio
Research Excellence
  • Evaluate emerging bioinformatics methodologies, tools, and technologies to enhance analytical capabilities
  • Ensure scientific rigor, reproducibility, and quality across all computational workflows
  • Author technical reports, peer-reviewed publications, research proposals, standard operating procedures (SOPs), and grant applications
  • Present findings to scientific teams, leadership, collaborators, and industry stakeholders

Required Qualifications
  • Ph.D. in Computational Biology, Bioinformatics, Biostatistics, Statistics, Computer Science, or a related quantitative discipline
  • 2-5+ years of postdoctoral, academic, biotechnology, pharmaceutical, or industry experience
  • Demonstrated expertise in next-generation sequencing (NGS) data analysis and bioinformatics workflow development
  • Strong proficiency in Python, R, or similar programming languages
  • Experience applying machine learning, Bayesian modeling, or advanced statistical methods to biological datasets
  • Proven ability to independently design studies, analyze complex datasets, and derive meaningful scientific conclusions
  • Strong record of collaboration in multidisciplinary research environments
  • Outstanding written, verbal, and presentation communication skills

Why Join Us?
  • Work on mission-critical technologies with real-world impact
  • Collaborate with top-tier scientists and engineers
  • Engage in meaningful, application-driven innovation


What We Offer
  • Competitive salary and benefits package
  • A mission-driven culture where discovery and innovation are at the heart of everything
  • Close collaboration with scientists and leaders shaping breakthrough research
  • A chance to build something meaningful-your systems, your ideas, your leadership
  • Flexible environment, high ownership, and the ability to make an immediate impact

If you're passionate about leveraging computational biology, machine learning, and genomics to solve complex biomedical challenges, we'd love to hear from you.

Employment Type: FULL_TIME

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