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Bioinformatics Machine Learning Internship Jobs in Portland, OR

Extract insights from structured and unstructured data using machine learning, coding techniques ... internship experiences. Minimum Qualifications: * Bachelor's degree in Engineering, Physical ...

Extract insights from structured and unstructured data using machine learning, coding techniques ... internship experiences. Minimum Qualifications: * Bachelor's degree in Engineering, Physical ...

Interest in AI and machine learning concepts. Important Information This is a freelance position compensated on an hourly basis. Please note that this is not an internship opportunity. Candidates ...

... years+ Machine learning and deep learning algorithms or High-performance computing (HPC ... internship experiences and/or schoolwork/classes/research. Job Type:Experienced Hire Shift:Shift 1 ...

Speakers/Writers

Vancouver, WA · On-site

$15 - $60/hr

Interest in AI and machine learning concepts. Important Information This is a freelance position compensated on an hourly basis. Please note that this is not an internship opportunity. Candidates ...

Showing results 21-40

Bioinformatics Machine Learning Internship information

See Portland, OR salary details

$27K

$45.2K

$93.3K

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

As of Jul 28, 2026, the average yearly pay for bioinformatics machine learning internship in Portland, OR is $45,160.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,500.00 and $48,800.00 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 are the most commonly searched types of Bioinformatics Machine Learning jobs in Portland, OR? The most popular types of Bioinformatics Machine Learning jobs in Portland, OR are:
What are popular job titles related to Bioinformatics Machine Learning Internship jobs in Portland, OR? For Bioinformatics Machine Learning Internship jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Machine Learning Internship jobs in Portland, OR look for? The top searched job categories for Bioinformatics Machine Learning Internship jobs in Portland, OR are:
Infographic showing various Bioinformatics Machine Learning Internship job openings in Portland, OR as of July 2026, with employment types broken down into 5% As Needed, 76% Full Time, 13% Part Time, 3% Contract, 2% Nights, and 1% Summer. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $45,160 per year, or $21.7 per hour.
Yield Development Engineer

Yield Development Engineer

INTEL

Portland, OR

Full-time

Medical, Retirement, PTO

Posted 26 days ago


Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

19th of 156 rated electronics manufacturers


Job description

Job Description

Embark with us on a journey of growth and transformation as we create exceptionally engineered technology and bring AI everywhere. As a valued team member, your adaptability and attention to detail will contribute to our drive for results and relentless pursuit of quality, ensuring we meet our customers' needs with precision.

Join us and build on our legacy of innovation and collaboration as we deliver world‑changing technology that improves the life of every person on the planet.

Life at Intel: https://jobs.intel.com/en/life-at-intel

As a Yield Development Engineer, you will play a critical role in advancing Intel's cutting-edge semiconductor technologies. You will be part of a team responsible for driving yield improvement strategies that span the entire lifecycle of a technology node, from research and development through high-volume manufacturing. Your contributions will directly influence Intel's ability to maintain its leadership in the semiconductor industry, ensuring the success of innovative silicon solutions that shape the future of computing. Collaborating with cross-functional teams, you will develop methods and tools to analyze vast data sets, identify yield limiters, and implement process changes that enable Intel to achieve its yield milestones. This role promises an opportunity to shape groundbreaking technologies and generate impactful advancements for the industry and beyond. 

Responsibilities will include but will not be limited to:

  • Perform statistical analysis to construct accurate process development roadmaps and drive technology yield milestones. 
  • Analyze and consolidate diverse data sources to identify defect modes and create yield models. 
  • Develop multivariate algorithms for high-volume data analysis to identify root cause yield limiters. 
  • Extract insights from structured and unstructured data using machine learning, coding techniques, and advanced statistical methods. 
  • Collaborate with process integration, defect engineering, and electrical fault isolation teams to debug yield detractors and propose solutions. 
  • Conduct fault isolation and failure analysis to determine the root cause of yield-impacting issues. 
  • Develop tools and systems that transform manufacturing data into actionable yield improvement strategies. 
  • Work closely with design teams to resolve product-related yield issues and improve manufacturability. 
  • Execute new product introductions and participate in factory task forces to ensure process optimization.

Qualifications

You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates Experience listed below would be obtained through a combination of your schoolwork, classes, research and/or relevant previous job and/or internship experiences.

Minimum Qualifications:

  • Bachelor's degree in Engineering, Physical Sciences, Computer Science, or a related field and 4+ years of experience in semiconductor processing, semiconductor devices, or nanotechnology; OR
  • Master's degree in Engineering, Physical Sciences, Computer Science, or a related field and 3+ years of experience in semiconductor processing, semiconductor devices, or nanotechnology; OR
  • PhD in Engineering, Physical Sciences, Computer Science, or a related field.
  • 1+ years of experience in the following:
    • Proficiency in data analysis systems, and machine learning techniques.
    • Optical probing or metrology.
    • Expertise in Statistical Process Control (SPC) and Design of Experiments (DOE) principles.

Preferred Qualifications:

  • PhD in Engineering, Physical Sciences, Computer Science, or a related field and 2+ years of experience in semiconductor processing, semiconductor devices, or nanotechnology.
  • 1+ years of experience in fault isolation, failure analysis tools, and techniques such as electrical testing, and layout studies.
  • Proven ability to collaborate in cross-functional teams and matrixed organizations.
  • Strong project management skills with demonstrated self-initiative and ability to drive strategic objectives in complex environments.
  • Expertise in semiconductor physics and advanced device interactions modeling.
  • Experience maintaining and troubleshooting semiconductor equipment.
  • Demonstrated ability to develop and present yield strategies to technical and business stakeholders.
  • Proficiency in yield modeling methodologies

Take advantage of this opportunity to join Intel and shape the future of engineering. Apply today to be part of a team that drives industry-leading innovation and transformation.

Interview Tips: https://www.intel.com/content/www/us/en/jobs/hiring.html


Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.
Annual Salary Range for jobs which could be performed in the US $148,100.00-$209,100.00
*Salary range dependent on a number of factors including location and experience
Working Model
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

What Intel employees say

Pay

Benefits

Hours and flexibility

Workplace

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Intel logo

About Intel

Sourced by ZipRecruiter

Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968