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Bioinformatics Machine Learning Internship Jobs in Utah

The ideal candidate enjoys learning independently, takes pride in finding practical solutions, and ... Basic machining or fabrication experience What Makes This Internship Different Unlike many ...

Mechanical Engineering Intern

Draper, UT ยท On-site

$20 - $40/hr

The ideal candidate enjoys learning independently, takes pride in finding practical solutions, and ... Basic machining or fabrication experience What Makes This Internship Different Unlike many ...

Since 2012, we've used data, machine learning, and a more human approach to create flexible ... Internship experience in analytics, finance, technology, or related industries. * Curiosity for ...

This role is ideal for an engineer who enjoys solving problems, working collaboratively, learning ... Equivalent internship, co-op, laboratory, manufacturing, or machining experience is highly ...

This role is ideal for an engineer who enjoys solving problems, working collaboratively, learning ... Equivalent internship, co-op, laboratory, manufacturing, or machining experience is highly ...

Welding Technology Instructor

Ephraim, UT ยท On-site

$61K - $64K/yr

Experience with Canvas or other Learning Management Systems. * Curriculum development experience ... Exposure to welding equipment, machinery, dust, fumes, and shop environments is expected. Safe ...

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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 Utah? The most popular types of Bioinformatics Machine Learning jobs in Utah are:
What cities in Utah are hiring for Bioinformatics Machine Learning Internship jobs? Cities in Utah with the most Bioinformatics Machine Learning Internship job openings:
Infographic showing various Bioinformatics Machine Learning Internship job openings in Utah as of July 2026, with employment types broken down into 28% As Needed, 59% Full Time, 10% Part Time, 1% Contract, 1% Nights, and 1% Summer. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution.
ASL Technology Research Internship - Pose Extraction (2-6 months)

ASL Technology Research Internship - Pose Extraction (2-6 months)

CaptionCall

Salt Lake City, UT โ€ข On-site

$20 - $30/hr

Full-time

Posted 12 days ago


Job description


Benchmark key point extraction methods on a sign language recognition dataset. The work includes:
  • Process a video dataset with pose extraction software packages, including Media Pipe and RTMPose.
  • Construct a metric for measuring accuracy that correlates with projected recognition accuracy.
  • Evaluate relative performance and study methods of improving the metric.

Pay Range: $20-$30/hr DOE
Essential Duties and Responsibilities
  • Demonstrated expertise with Python, PyTorch, and TensorFlow
  • Experience in sign language generation or recognition technology is a plus
  • Experience using Media Pipe is a plus.

Supervisory Responsibility
This position has no supervisory responsibilities.
Travel Requirements
Travel Requirements: Less than 25%
Education
  • At least two years of university study in computer science

Experience
  • One year of experience training machine learning models, including transformers

Knowledge, Skills, and Abilities
  • Ability to work as part of a team.
  • Oral and written communication skills.
  • Attentiveness.
  • Ability to understand and follow directions.

Working Conditions and Physical Requirements
  • Ability to sit and/or stand at a desk and work with a computer for extended periods of time.
  • Dexterity of hands and fingers to operate a computer keyboard, mouse, tools, and to handle other computer components.
  • Regular and predictable attendance required.

Disclaimer
This position has access to highly confidential, sensitive information relating to the employees, customers, and technologies of Sorenson Communications. It is essential that applicant possess the requisite integrity to maintain the information in strictest confidence.
Apply today! www.sorenson.com/company/careers/
Equal Employment Opportunity:
Sorenson Communications is an EOE, Disability/Age Employer.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.