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Machine Learning Engineer Biotech Jobs in Eugene, OR

Instrument Machinist

Eugene, OR

$21.75 - $30/hr

Equipped with advanced manufacturing tools, the shop fosters a culture of craftsmanship and continuous learning, where machinists, engineers, and researchers collaborate to refine their skills ...

Instrument Machinist

Eugene, OR · On-site

$21.75 - $30/hr

Equipped with advanced manufacturing tools, the shop fosters a culture of craftsmanship and continuous learning, where machinists, engineers, and researchers collaborate to refine their skills ...

Linear Algebra Tutor

Eugene, OR · Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... transfer, machine design, manufacturing processes, and control systems. Ability to explain free ...

Statics Tutor

Eugene, OR · Remote

$18 - $40/hr

... machine design, and construction engineering. * Curriculum Awareness & Adaptive Instruction ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

... machine dynamics, and advanced engineering coursework. * Conceptual Teaching & Problem-Solving ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

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Showing results 1-20

Machine Learning Engineer Biotech information

See Eugene, OR salary details

$31.6K

$129.3K

$194.3K

How much do machine learning engineer biotech jobs pay per year?

As of Jun 26, 2026, the average yearly pay for machine learning engineer biotech in Eugene, OR is $129,324.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,900.00 and $155,700.00 per year, depending on experience, location, and employer.

What does a Machine Learning Engineer do in the biotech industry?

A Machine Learning Engineer in biotech applies advanced algorithms and data analysis techniques to solve biological and medical problems. They work with large datasets such as genomic sequences, medical images, or clinical records to develop predictive models, automate data analysis, and uncover insights that can accelerate drug discovery, diagnostics, and personalized medicine. Their work often involves close collaboration with biologists, data scientists, and software engineers to create tools and solutions that improve healthcare outcomes. Machine Learning Engineers in this field need a strong background in both computational methods and biological sciences.

How do Machine Learning Engineers in biotech typically collaborate with research scientists and domain experts?

Machine Learning Engineers in biotech often work closely with research scientists and domain experts to translate complex biological problems into data-driven solutions. This collaboration involves regular meetings to understand experimental data, refine project goals, and iterate on model development based on domain feedback. Engineers are expected to communicate technical concepts clearly, adapt models to fit scientific needs, and help validate results alongside laboratory teams. This interdisciplinary environment fosters innovation but also requires flexibility and strong communication skills.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer in Biotech, and why are they important?

To thrive as a Machine Learning Engineer in Biotech, you need a solid background in computer science, statistics, and biology, often with an advanced degree in a related field. Experience with programming languages such as Python or R, machine learning frameworks like TensorFlow or PyTorch, and familiarity with bioinformatics tools are typically required. Strong problem-solving, communication, and interdisciplinary collaboration skills set standout candidates apart. These capabilities are crucial for developing effective models that drive scientific innovation and advance biotechnological research.

What is the difference between Machine Learning Engineer Biotech vs Data Scientist Biotech?

AspectMachine Learning Engineer BiotechData Scientist Biotech
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related; knowledge of ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, coding, deploying algorithms in biotech R&DAnalyzes biological data, interprets results, creates reports
Employer & Industry UsageBiotech firms, pharma companies, research labsBiotech companies, healthcare, research institutions

While both roles work with biological data, Machine Learning Engineers focus on developing and deploying ML algorithms, whereas Data Scientists analyze and interpret biological datasets to inform research and decision-making in biotech settings.

What job categories do people searching Machine Learning Engineer Biotech jobs in Eugene, OR look for? The top searched job categories for Machine Learning Engineer Biotech jobs in Eugene, OR are:
What cities near Eugene, OR are hiring for Machine Learning Engineer Biotech jobs? Cities near Eugene, OR with the most Machine Learning Engineer Biotech job openings:
Instrument Machinist

$21.75 - $30/hr

Other

Medical, Retirement, PTO

Posted 14 days ago


University Of Oregon rating

7.2

Company rating: 7.2 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

334th of 539 rated colleges and universities


Job description

Instrument Machinist

Apply now Job no: 536554
Work type: Faculty - Career
Location: Eugene, OR
Categories: Architecture/Art/Design, Research/Scientific/Grants, Physics, Engineering/Biomedical Engineering

Department: Oregon Fabrication and Design
Rank: Research Assistant
Annual Basis: 12 Month

Review of Applications Begins

May 11, 2026 (updated); position open until filled

Special Instructions to Applicants

With your online application, you will also be asked to enter the names and contact information of three professional references; candidates will be notified prior to contacting references.
Please upload a resume describing how you meet the minimum requirements, professional competencies, and any preferred qualifications.
The position is based out of Eugene, Oregon, on campus.

Department Summary

Oregon Fabrication and Design (OFAD), is a research core facility located on the UO main campus, with facilities in Pacific Hall and the Knight Campus. For over 30 years, OFAD has supported publicly and privately funded research by providing expert prototyping, technical consultation, precision fabrication, and instrument repair. Equipped with advanced manufacturing tools, the shop fosters a culture of craftsmanship and continuous learning, where machinists, engineers, and researchers collaborate to refine their skills, explore new techniques, and turn ideas into high-quality scientific instruments. Dedicated to both innovation and professional growth, OFAD serves as a vital resource for higher education research labs and private sector partners throughout the Pacific Northwest and beyond.

Position Summary

The OFAD instrument shop provides professional instrument construction for research endeavors at UO. This position interacts with faculty, staff, postdocs, graduate students, and other research professionals both within and outside of the University. The Instrument Machinist in the shop provides design consultation services and operates a variety of standard and specialized equipment to create and assemble instruments for research use. This position performs manual machining, CNC programming, CNC turning, CNC milling, waterjet cutting, laser cutting/etching, sheet metal fabrication, plastic fabrication, additive manufacturing, and other related duties as assigned. The person in this position will need to understand the scientific purpose of the materials they are manufacturing and work closely with the researcher to build custom parts, often from scratch, with frequent modifications.
The instrument machinist (IM) provides their technical skills, inventiveness, spatial reasoning, and creative abilities to the design, engineering, prototyping, and fabrication of research instrumentation for the advancement of research excellence on the University of Oregon campus. The IM provides their expertise to principal investigators and graduate students within the campus community to develop custom equipment requirements for proposed or ongoing grant submissions. The IM assists in the diagnosis and repair of existing research apparatus by researching, troubleshooting, and designing repairs. The IM occasionally assists and trains graduate students and undergrads associated with department labs in the use of diagnostic and fabrication equipment housed in the UO's research instrumentation shops.

Minimum Requirements

Two years experience in machine shop practice
Bachelor's degree in a technical science or engineering plus two years of experience with machining, OR Associate's Degree in a technology field plus at least three years of experience related to machining or fabrication; OR equivalent combination of training and experience.
Studies have shown that individuals are less likely to apply for jobs unless they believe they are able to perform every task in the job description. We are most interested in finding the best candidate for the job, and that candidate may be one who comes from a less traditional background. If you are interested in applying, we encourage you to think broadly about your background and skill set for the role.

Professional Competencies

Knowledge and skill to operate both common and specialized equipment in the fabrication shops, including lathes, mills, grinders, soldering machines, saws, welders, and drill presses.
Ability to read and interpret complex design specifications (including CAD files, oral and written instructions, and incomplete/rough design plans), along with planning and implementing a variety of design, construction, fabrication, and assembly processes.
Problem-solving skills, including the repair, maintenance, fabrication of parts, and proper calibration of standard machines and equipment.
Ability to exercise sound judgement and work independently when necessary
Knowledge of and ability to comply with all applicable safety codes and guidelines, including the ability to take precautions that assure the safety of themselves and others.
Effective communication and interpersonal skills including the ability to interpret and address customer needs and work in a team environment.

Preferred Qualifications

Experience in a university setting or in creating instruments for experimental and research use.
Software experience with the following: Autodesk and Fusion, Solidworks, Mastercam, Microsoft Office, Preform
Hardware experience with: Manual and CNC Lathes and Mills (3-5 axis), Laser cutter, Waterjet, Saws (Vertical and Drop), Welding (MIG/TIG/Laser), Additive manufacturing (FormLabs)
Bachelors degree in engineering, physics or other scientific discipline.


All offers of employment are contingent upon successful completion of a background check.

The University of Oregon is proud to offer a robust benefits package to eligible employees, including health insurance, retirement plans, and paid time off. For more information about benefits, visit our website.

The University of Oregon is an equal-opportunity institution committed to cultural diversity and compliance with the Americans with Disabilities Act. The University encourages all qualified individuals to apply and does not discriminate on the basis of any protected status, including veteran and disability status. The University is committed to providing reasonable accommodations to applicants and employees with disabilities. To request an accommodation in connection with the application process, please email us or call 541-346-5112.

UO prohibits discrimination on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, pregnancy (including pregnancy-related conditions), age, physical or mental disability, genetic information (including family medical history), ancestry, familial status, citizenship, service in the uniformed services (as defined in federal and state law), veteran status, expunged juvenile record, and/or the use of leave protected by state or federal law in all programs, activities and employment practices as required by Title IX, other applicable laws, and policies. Retaliation is prohibited by UO policy. Questions may be referred to the Office of Equal Opportunity and Access. Contact information, related policies, and complaint procedures are listed here.

In compliance with federal law, the University of Oregon prepares an annual report on campus security and fire safety programs and services. The Annual Campus Security and Fire Safety Report is available online.

Advertised: April 14, 2026 Pacific Daylight Time
Applications close:

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