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Bioinformatics Machine Learning Internship Jobs in Santa Barbara, CA

Bioinformatics Machine Learning Internship information

See Santa Barbara, CA salary details

$28.4K

$47.4K

$97.9K

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

As of Aug 23, 2026, the average yearly pay for bioinformatics machine learning internship in Santa Barbara, CA is $47,382.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,200.00 and $51,200.00 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 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 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 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 popular job titles related to Bioinformatics Machine Learning Internship jobs in Santa Barbara, CA?

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

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

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

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

Cities near Santa Barbara, CA with the most Bioinformatics Machine Learning Internship job openings:

Senior Scientist / Head of Informatics for Women's Brain Health Initiative in the Psychological & Br

University of California Santa Barbara

Santa Barbara, CA • On-site

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Job description

Position description
The Bowers Women's Brain Health Initiative (WBHI) seeks a Senior Data Analyst / Head of Informatics to lead and scale the consortium's data science and neuroinformatics infrastructure. This individual will oversee data management, quality control, and analytic pipeline development for large-scale MRI and multimodal datasets across federally and privately funded studies.
This position is designed for a scholar who can build reproducible, scalable workflows while fostering a collaborative, open-science culture. The successful candidate will work closely with PIs, trainees, and research coordinators to ensure that WBHI's data ecosystem is rigorous, secure, and future-facing.
This role offers the opportunity to shape the informatics backbone of a growing research consortium focused on advancing women's brain health across the lifespan.
Informatics Leadership & Strategy
Develop and oversee WBHI's data architecture and informatics strategy across multiple grants and study sites.
Establish best practices for data governance, documentation, harmonization, and reproducibility.
Lead the design and implementation of scalable, modular analytic pipelines for structural, functional, and diffusion MRI, as well as multimodal data (e.g., clinical, behavioral, multi-omics).
Guide decisions around computing infrastructure (local HPC, cloud platforms, containerization).
Data Management & Quality Control
Implement standardized data ingestion, organization (e.g., BIDS-compliant), and version control systems.
Oversee automated and manual quality control (QC) pipelines for MRI and related datasets.
Develop dashboards or reporting tools for monitoring data completeness, QC metrics, and study progress.
Ensure compliance with institutional, federal, and sponsor data security and sharing requirements.
Pipeline Development & Advanced Analytics
Build and maintain reproducible workflows using tools such as Python, R, Bash, Docker/Singularity, Git, and workflow engines (e.g., Snakemake, Nextflow).
Integrate established neuroimaging tools (e.g., FSL, FreeSurfer, AFNI, ANTs, fMRIPrep, QSIPrep) into standardized processing streams.
Support advanced modeling approaches including network analysis, multivariate methods, machine learning, and longitudinal modeling.
Contribute to data harmonization across multi-site studies and large consortia datasets.
Team Building & Mentorship
Supervise data analysts and research staff as the informatics team grows.
Train students, postdocs, and staff in best practices for data management and reproducible research.
Foster a collaborative, transparent, and open-science culture aligned with leading neuroinformatics groups.
Partner with investigators on grant applications, including drafting data management and analysis plans.
Collaboration & Dissemination
Contribute intellectually to manuscripts, conference presentations, and grant proposals.
Engage with national and international neuroimaging and data science communities.
Promote open science principles, including code sharing, documentation, and reproducible workflows.
Qualifications
Basic qualifications (required at time of application)
-PhD in neuroscience, bioinformatics, biomedical engineering, statistics, computer science, or related field.
Additional qualifications (required at time of start)
-5+ years of experience working with neuroimaging data (structural MRI, fMRI, diffusion MRI).
One or more years of Demonstrated expertise in:
Python and/or R
Unix/Linux environments
Workflow automation and pipeline development
Version control (Git)
Preferred qualifications
-Excellent communication skills.
-Proven ability to manage complex datasets across multiple projects.
-Experience leading or contributing to large-scale neuroimaging initiatives or consortia.
-Familiarity with multimodal integration (e.g., imaging + clinical + hormonal + genetics).
-Experience with cloud computing platforms (e.g., AWS, GCP) and containerization.
-Background in longitudinal modeling or machine learning applications in neuroimaging.
-Experience supervising technical staff or trainees.
-Experience implementing BIDS standards and MRI quality control workflows.
-Strong understanding of reproducible research principles and computational best practices.
Application Requirements
Document requirements
  • Curriculum Vitae - Your most recently updated C.V.
  • Cover Letter
  • Samples of Scholarly Work - 1-3 samples of published, in print, submitted, or in-preparation scholarly work (article, book chapter, book, writing sample, etc.). - co-authorship on peer-reviewed publications

Reference requirements
  • 3 required (contact information only)

References for finalist(s) may be contacted by phone/email after interviews.
Apply link: https://recruit.ap.ucsb.edu/JPF03071
Help contact: pamelawilks@ucsb.edu
About UC Santa Barbara
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
  • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination as defined by the employer.
  • UC Sexual Violence and Sexual Harassment Policy
  • UC Anti-Discrimination Policy for Employees, students and third parties
  • APM - 035: Affirmative Action and Nondiscrimination in Employment

Additionally, you will be required to comply with the University of California Policy on Vaccination Programs , as may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements.
The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.
Job location
Remote or Santa Barbara, CA

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