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Bioinformatics Machine Learning Internship Jobs in Arizona

University of Arizona

Scientific Analyst II

Tucson, AZ · On-site

Data Analysis and Machine Learning Pipeline Development: * Under moderate guidance collaborate in ... Drug Repurposing Research and Bioinformatics Analysis: * Collaborating in computational drug ...

University of Arizona

Scientific Analyst II

Tucson, AZ · On-site

Apply supervised and unsupervised machine learning algorithms (e.g., logistic regression, random ... Drug Repurposing Research and Bioinformatics Analysis: * Collaborating in computational drug ...

Asure Software

Associate Software Engineer

Phoenix, AZ · On-site

Exposure to AI and machine learning concepts through coursework, certifications, projects, hackathons, or internships. * Experience using AI-assisted development tools or cloud-based AI services.

Viavi Solutions

Wireless Network Lab Intern

Chandler, AZ

$14.75 - $19.75/hr

Research focus in machine learning, with hands-on experience in deep learning frameworks (PyTorch ... Prior industry research internship experience. If you have what it takes to push boundaries and ...

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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 Arizona? The most popular types of Bioinformatics Machine Learning jobs in Arizona are:
What are popular job titles related to Bioinformatics Machine Learning Internship jobs in Arizona? For Bioinformatics Machine Learning Internship jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Machine Learning Internship jobs in Arizona look for? The top searched job categories for Bioinformatics Machine Learning Internship jobs in Arizona are:
What cities in Arizona are hiring for Bioinformatics Machine Learning Internship jobs? Cities in Arizona with the most Bioinformatics Machine Learning Internship job openings:
Bioinformatics Machine Learning Internship jobs near you

Research Scientist I

St Joseph Hospital & Medical Center

Phoenix, AZ

$43.10 - $64.11/hr

Full-time

Posted 5 days ago

Job description


Job Summary and Responsibilities

As a Research Scientist, you will leverage your deep scientific knowledge to support and facilitate the organization's research programs and projects. You are expected to apply various scientific principles to drive innovation.
Every day you will design and execute rigorous laboratory research, contributing to ongoing studies through meticulous analysis. You will also actively support manuscript preparation and participate in grant writing.
To be successful in this role, you will possess proven scientific expertise, a strong track record in experimental execution and analysis. Your ability to plan research, contribute to publications, and assist in securing funding will be paramount.

The Multimodal Imaging Genetics Lab at Barrow Neuro Analytics Center is in search of a talented and motivated computational biologist to join our dynamic team. Our lab employs cutting-edge bioinformatics and machine learning, including deep learning, to understand brain aging and secondary injury mechanisms across cerebrovascular, neurodegenerative, and traumatic brain diseases. As a Bioinformatics Staff Scientist, you will be responsible for conducting and supervising analysis of large- scale, high-dimensional biological data from biobanks and longitudinal cohorts, and developing innovative computational methods to enhance understanding of cerebrovascular and Alzheimer’s disease interactions, and drive development of mechanism-based treatments for dementia. We seek a self-driven, innovative individual with strong analytical and problem-solving abilities, and exceptional communication skills.

Responsibilities:

  • Responsible for operational oversight and implementation of funded translational research program(s) in genomics
  • Plans and executes bioinformatics analysis on high-throughput genomics (including single cell) and proteomics data, integration and analysis of multi-omics data
  • Participates in the development and application of computational algorithms and statistical models for data analysis and interpretation, and development of data analysis pipelines.
  • Develops and establishes data analysis pipelines
  • Serves as a liaison for the training of technical personnel in the translational program including post-doctoral fellows, graduate and undergraduate students
Job Requirements

Required

  • Ph.D. in Genetics, Bioinformatics, Computational Biology, Statistical Genetics, or related field
  • Demonstrated experience with GWAS data analysis, population genetics, or single-cell genomics
  • Strong understanding of complex disease genetics and population structure
  • Prior work in complex disease genetics research, including analysis of large cohorts or biobank-scale datasets

Preferred

  • Experience with pathway analysis, polygenic risk scores, or Mendelian randomization is a plus
  • Publication record in peer-reviewed journals related to human genetics or genomics
  • Proficiency in programming with R, Unix/Linux, and/or Python
  • Experience with genetic analysis tools (e.g., PLINK, GCTA, METAL)
  • Experience with high-performance computing environments
  • Working knowledge of machine learning (AI/ML) algorithms and their applications in bioinformatics
Where You'll Work
Hello Humankindness: Join a Legacy of Healing at Saint Joseph’s Hospital and Medical Center (SJHMC) Ready to make a real difference? Join SJHMC in Phoenix AZ., a 571-bed nonprofit founded by the Sisters of Mercy over 125 years ago. We're more than a hospital; we're a global destination for life-changing care, embracing patients with humankindness.

Here, your calling will flourish. We're not just a workplace; we're a community dedicated to a mission of service.

Leaders in Specialized Care:

  • Barrow Neurological Institute (BNI): A world-renowned center for groundbreaking neurological research and innovative treatments.
  • Norton Thoracic Institute (NTI): A national leader in advanced thoracic care with pioneering surgical techniques.
  • Level I Trauma Center: One of Arizona's busiest ERs, providing immediate, comprehensive care for critically injured patients 24/7.

Why SJHMC?

  • Culture of Excellence & Well-being: We care for our people, fostering professional and personal growth.
  • Community & Collaboration: Be part of a network committed to global health and well-being.
  • Join a Legacy, Shape a Future: Over 20% of our patients travel internationally for our specialized care.

This is an invitation to join a family of dedicated professionals at the forefront of medical innovation, united by the power of humankindness.


Pay Range
$43.1 - $64.11 /hour

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