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Internship Data Science Physics Jobs in Portland, OR

Or - Master's degree in Chemical Engineering, Materials Science, Physics, Electrical Engineering ... data-based decisions. Preferred Qualifications: - 5+ years of direct experience developing and ...

Or - Master's degree in Chemical Engineering, Materials Science, Physics, Electrical Engineering ... data-based decisions. Preferred Qualifications: - 5+ years of direct experience developing and ...

Minimum Qualifications - PhD in Chemical Engineering, Materials Science, Physics, Electrical ... data-based decisions.Preferred Qualifications:- 5+ years of direct experience developing and ...

Or - Master's degree in Chemical Engineering, Materials Science, Physics, Electrical Engineering ... data-based decisions. Preferred Qualifications: - 5+ years of direct experience developing and ...

Or - Master's degree in Chemical Engineering, Materials Science, Physics, Electrical Engineering ... data-based decisions. Preferred Qualifications: - 5+ years of direct experience developing and ...

AP Physics 2 Tutor

Portland, OR · Remote

$18 - $40/hr

... data. Emphasizes conceptual reasoning with mathematical justification and connects advanced physics ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Showing results 21-40

Internship Data Science Physics information

See Portland, OR salary details

$12

$23

$44

How much do internship data science physics jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for internship data science physics in Portland, OR is $23.87, according to ZipRecruiter salary data. Most workers in this role earn between $18.37 and $26.01 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an internship data science physics, and why are they important?

To thrive as an Internship Data Science Physics, you need a solid grounding in physics, mathematics, and programming, typically supported by progress toward a relevant degree. Familiarity with data analysis tools such as Python, MATLAB, or R, and experience using statistical or machine learning libraries are commonly expected. Strong problem-solving, analytical thinking, and effective communication skills help interns stand out in team-based research environments. These competencies ensure you can effectively analyze complex data, contribute to scientific discoveries, and present insights clearly.

What is the difference between Internship Data Science Physics vs Data Analyst Intern?

AspectInternship Data Science PhysicsData Analyst Intern
Required SkillsProgramming, data analysis, physics concepts, statistical methodsData analysis, Excel, SQL, visualization tools
Work EnvironmentResearch labs, tech companies, academiaBusiness, finance, marketing departments
Industry UsageResearch, scientific computing, tech innovationBusiness intelligence, reporting, decision-making

Internship Data Science Physics focuses on applying data science skills within physics and research contexts, often involving scientific computing and experimental data. In contrast, Data Analyst Internships are centered on analyzing business data, creating reports, and supporting decision-making processes. Both roles require analytical skills and familiarity with data tools, but their environments and applications differ significantly.

What types of projects or tasks can I expect to work on during an internship data science physics?

As a Data Science Physics intern, you can expect to work on projects that involve analyzing large datasets derived from physical experiments or simulations, developing predictive models, and visualizing complex phenomena. Typical tasks might include cleaning and preprocessing data, applying statistical or machine learning techniques, and collaborating with researchers to interpret results. You may also assist in automating data workflows or contributing to scientific publications, providing a dynamic and collaborative environment that bridges data science and physics.

What is an internship data science physics?

Internship Data Science Physics positions are temporary roles designed for students or recent graduates with a background in physics who are interested in applying data science techniques to solve scientific and analytical problems. These internships typically involve working with large datasets, performing statistical analyses, building models, and interpreting results within a physics-related context. Interns gain hands-on experience with programming languages like Python or R, machine learning tools, and data visualization methods, often contributing to research or product development teams. These roles help bridge academic knowledge in physics with practical data science skills, preparing interns for careers in research, technology, or industry.

What are the most commonly searched types of Data Science Physics jobs in Portland, OR?

The most popular types of Data Science Physics jobs in Portland, OR are:

What are popular job titles related to Internship Data Science Physics jobs in Portland, OR?

For Internship Data Science Physics jobs in Portland, OR, the most frequently searched job titles are:

What cities near Portland, OR are hiring for Internship Data Science Physics jobs?

Cities near Portland, OR with the most Internship Data Science Physics job openings:

Dry Etch module development engineer

Intel Corporation

Hillsboro, OR • On-site

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 157 rated electronics manufacturers


Job description

Job Details:
Job Description:
Note: This role is only open to external candidates with industry dry etch experience from leading equipment suppliers or advanced foundries.
You will operate in a high impact space, partnering closely with cross functional teams (Process Integration, Manufacturing, Equipment Engineering, Yield/Defect Engineering, and suppliers) to solve complex technical challenges and establish long term systems that sustain performance. This role requires regular onsite presence to fulfill essential job responsibilities.
• Drives technology development for both high volume manufacturing and future technology, provides process integration and equipment solutions, and performs feasibility studies to meet desired device specifications.
• Own and drive development of next generation patterning processes, including process architecture, optimization strategies, and qualification methodologies.
• Performs pathfinding activities in support of process and hardware development on existing and first of kind equipment, enabling manufacturing of innovative device architectures and develops roadmaps for technologies enabling future roadmap.
• Provide technical leadership for cross functional problem solving to resolve complex process and defect issues; drive structured root cause, containment, and permanent corrective actions.
• Design and execute comprehensive characterization plans; plan and conduct experiments (DOE/response surface/robustness studies) across the development cycle.
• Establish and mature control systems to optimize and sustain production performance (SPC, control plans, alarms, response plans, recipe governance, sustaining systems).
• Develop strategies and infrastructure to resolve difficult problems and implement systems to manage these problems in the future (standard work, monitoring, dashboards/analytics, knowledge capture).
• Drive improvements in yield, reliability, cost, productivity, and process capability, ensuring scalable transfer to manufacturing and ongoing sustainment.
• Influence technical direction, mentor engineers (as appropriate for grade), and communicate status/risks clearly to stakeholders.
• Recommends and implements modifications for operating equipment to improve production efficiency, manufacturing techniques, and optimizing production output for existing products.
• Partners with key equipment and materials suppliers to develop and implement enabling elements of the technology. Performs process technology feasibility studies through theoretical simulations and/or practical engineering methods.
Qualifications:
Minimum Qualifications
- PhD in Chemical Engineering, Materials Science, Physics, Electrical Engineering, or a semiconductor related STEM field with 4+ years of industry experience in dry etch at a leading foundry or equipment supplier with relevant experience.
Or
- Master's degree in Chemical Engineering, Materials Science, Physics, Electrical Engineering, or a semiconductor related STEM field with 6+ years of industry experience in dry etch at a leading foundry or equipment supplier with relevant experience.
Or
-Bachelor's degree in Chemical Engineering, Materials Science, Physics, Electrical Engineering, or a semiconductor related STEM field with 8+ years of industry experience in dry etch at a leading foundry or equipment supplier with relevant experience.
Relevant recent experience includes, but is not limited to:
- Hands-on experience in dry etch semiconductor manufacturing, including ownership of process development and optimization.
- Strong command of plasma etch fundamentals, including plasma generation, plasma-surface interactions, selectivity, profile control, and defect mechanisms.
- Demonstrated record of delivering dry etch process solutions that improved yield, reliability, performance, or manufacturability for advanced technology nodes at foundry or suppliers.
- Expertise in statistical analysis and DOE methodologies, using tools such as JMP, Python, or MATLAB to drive data-based decisions.
Preferred Qualifications:
- 5+ years of direct experience developing and deploying dry etch processes for advanced logic or foundry technologies.
- Experience with advanced dry etch technologies such as: ICP / CCP plasma etch, High aspect ratio etch (HARC), Atomic Layer Etch (ALE), Radical and Vapor phase isotropic etching, Ash and surface treatments, EUV patterned layer etch integration.
- Demonstrated ability to manage complex process challenges and provide solutions such as pattern fidelity, CD control, defectivity, variability reduction, or process window expansion.
- Strong understanding of logic BEOL interconnects and their etch integration requirements.
- Experience with materials and device characterization techniques, including SEM, TEM, CD SEM, AFM, XPS, or electrical correlation.
- Ability to define technical approaches, de risk options, and guide less senior engineers through complex problem solving.
- Proven ability to lead technical problem solving across projects, influencing peers and stakeholders without formal people management responsibility.
- Evidence of broader technical influence, such as internal technology disclosures, patents, publications, or recognized subject matter expertise within the organization.
- Strong collaboration and problem-solving skills to work effectively in cross-disciplinary teams.
- Proven ability to communicate technical data and concepts to both technical and non-technical audiences.
Join Intel's dynamic team and contribute to groundbreaking advancements in technology. Help us shape the future today.
Job Type:
Experienced Hire
Shift:
Shift 1 (United States of America)
Primary Location:
US, Oregon, Hillsboro
Additional Locations:
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.
Position of Trust
N/A
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $133,800.00-255,200.00 USD
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
Work Model for this Role
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.
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

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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