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Bioinformatics Machine Learning Internship Jobs in Arizona

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 ...

Research Scientist, Learnable Planner

Phoenix, AZ · On-site +1

$158K - $269K/yr

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ... internships, work experience, research projects, and papers at top conferences. - Strong ...

Research Scientist, Learnable Planner

Phoenix, AZ · On-site +1

$158K - $269K/yr

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ... internships, work experience, research projects, and papers at top conferences. - Strong ...

Research Scientist, Simulation Agents

Phoenix, AZ · On-site +1

$158K - $269K/yr

... interns; foster a culture of scientific rigor and rapid experimentation. - Publish high-impact research at top-tier conferences in machine learning or robotics. Qualifications: - Masters/PhD in ...

Research Scientist, Simulation Agents

Phoenix, AZ · On-site +1

$158K - $269K/yr

... interns; foster a culture of scientific rigor and rapid experimentation. - Publish high-impact research at top-tier conferences in machine learning or robotics. Qualifications: - Masters/PhD in ...

... vision, machine learning, and deep learning. Assists in implementing and tuning models for ... Internship length: 6 - 12 m Job Type:Student / Intern Shift:Shift 1 (United States of America ...

Exposure to machine learning concepts such as regression, classification, and model evaluation ... Internship or project experience building full stack applications. * Experience deploying ...

Exposure to machine learning concepts such as regression, classification, and model evaluation ... Internship or project experience building full stack applications. * Experience deploying ...

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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 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:
Wireless Network Lab Intern

Wireless Network Lab Intern

Viavi Solutions

Chandler, AZ

$14.75 - $19.75/hr

Full-time

Posted 26 days ago


Job description

Summary:
VIAVI (NASDAQ: VIAV) is a global provider of network test, monitoring and assurance solutions for telecommunications, cloud, enterprises, first responders, military, aerospace, and railway. VIAVI is also a leader in light management technologies for 3D sensing, anti-counterfeiting, consumer electronics, industrial, automotive, government and aerospace applications.
We are the people behind the products that help keep the world connected at home, school, work, at play, and everywhere in between. VIAVI employees are passionate about supporting customer success and we welcome people who bring their best every day to the company - to question, to collaborate and to push for solutions that will delight our customers.
Duties & Responsibilities:
Responsibilities
  • Design and develop AI/ML models tailored to telecom operational use cases, including diagnostics, protocol analysis, and test automation.
  • Build and manage data pipelines - curate, clean, and structure training datasets from diverse telecom sources.
  • Run training experiments on GPU infrastructure and iterate on model performance.
  • Develop evaluation benchmarks and validate model outputs against domain expert assessments.
  • Collaborate with cross-functional engineers (RF, RAN, security, software) to translate domain expertise into model capabilities.
  • Contribute to a research publication documenting methodology and results.

Pre-Requisites / Skills / Experience Requirements:
Required Qualifications
  • Currently pursuing a Ph.D. (or advanced M.S.) in Electrical Engineering, Computer Science, or a related field.
  • Research focus in machine learning, with hands-on experience in deep learning frameworks (PyTorch or TensorFlow).
  • Experience training and fine-tuning large-scale models.
  • Strong Python proficiency and familiarity with GPU-accelerated workflows.
  • Track record of research output (publications, preprints, or significant thesis work).
  • Ability to work independently on open-ended research problems in a collaborative team environment.

Preferred Qualifications
  • Experience with foundation models, large language models, or domain adaptation techniques.
  • Familiarity with parameter-efficient fine-tuning methods (LoRA, adapters, or similar).
  • Background in wireless communications, signal processing, or telecom systems.
  • Experience with retrieval-augmented generation (RAG) or knowledge-grounded AI systems.
  • Prior industry research internship experience.

If you have what it takes to push boundaries and seize opportunities, apply to join our team today.
VIAVI Solutions is an equal opportunity and affirmative action employer - minorities/females/veterans/persons with disabilities.