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Remote Image Processing Scientist Jobs in Seattle, WA

Remote Job Overview We are seeking Dutch Bilingual Experts to contribute to a global language and ... Maintain a high level of attention to detail throughout the review and submission process. Required ...

Remote Job Overview We are seeking Dutch Bilingual Experts to contribute to a global language and ... Maintain a high level of attention to detail throughout the review and submission process. Required ...

Designs data modeling processes to create algorithms and predictive models. Performs custom ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Working with our in-house science team to integrate strategic science breakthroughs * Ensure end to ... language processing, image recognition, declarative markup, and other approaches, to enable ...

Designer, Growth Marketing

Seattle, WA · On-site +1

$175K - $215K/yr

Open to hiring remote across the US - we also have offices in New York, San Francisco, Seattle ... Use Runway to ideate, create and iterate on video and image assets that are on-brand and well art ...

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Remote Image Processing Scientist information

See Seattle, WA salary details

$95K

$144.6K

$194.6K

How much do remote image processing scientist jobs pay per year?

As of Aug 25, 2026, the average yearly pay for remote image processing scientist in Seattle, WA is $144,565.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,000.00 and $163,300.00 per year, depending on experience, location, and employer.

What is a remote image processing scientist?

A Remote Image Processing Scientist is a professional who specializes in analyzing and interpreting images using advanced computational techniques, often working from a remote location. They process and enhance digital images, such as satellite photos, medical scans, or photographs, using algorithms and software tools. Their work may involve developing new image analysis methods, improving image quality, and extracting meaningful data for various applications like remote sensing, healthcare, or security. Remote Image Processing Scientists typically have backgrounds in computer science, engineering, or related fields, and are skilled in programming, mathematics, and data analysis.

What are some common challenges faced by remote image processing scientists when collaborating with cross-functional teams?

Remote Image Processing Scientists often work with diverse teams, including software engineers, data scientists, and project managers. A common challenge is ensuring clear communication of complex technical concepts, especially when team members have varying levels of expertise in image processing. Additionally, aligning on project goals and integrating image processing workflows with broader system architectures can require extra coordination in a remote setting. Proactively scheduling regular meetings and using collaborative tools can help bridge these gaps and foster effective teamwork.

What are the key skills and qualifications needed to thrive as a remote image processing scientist, and why are they important?

To thrive as a Remote Image Processing Scientist, you need a solid background in computer vision, image analysis, and strong programming skills, generally supported by a degree in computer science, electrical engineering, or a related field. Expertise in tools such as Python, MATLAB, OpenCV, and familiarity with machine learning frameworks and cloud computing platforms is typically required. Strong problem-solving abilities, self-motivation, and effective communication are important soft skills, especially when working in remote or distributed teams. These skills ensure the development of robust image processing solutions, efficient collaboration, and the ability to adapt to evolving project requirements.

What is the difference between Remote Image Processing Scientist vs Remote Computer Vision Engineer?

AspectRemote Image Processing ScientistRemote Computer Vision Engineer
Required CredentialsMaster's or PhD in Computer Science, Electrical Engineering, or related fields; experience with image processing algorithmsBachelor's or higher in Computer Science or Electrical Engineering; strong programming skills in Python, C++, and experience with vision libraries
Work EnvironmentResearch-focused, often in R&D teams, developing new image processing techniquesDevelopment-focused, implementing and deploying computer vision models in products
Employer & Industry UsageTech companies, research labs, healthcare, automotiveTech firms, autonomous vehicles, robotics, security systems

While both roles involve working with visual data, the Remote Image Processing Scientist primarily focuses on research and developing new algorithms, whereas the Remote Computer Vision Engineer applies these techniques to build practical applications and systems.

What are the most commonly searched types of Image Processing Scientist jobs in Seattle, WA?

The most popular types of Image Processing Scientist jobs in Seattle, WA are:

What are popular job titles related to Remote Image Processing Scientist jobs in Seattle, WA?

For Remote Image Processing Scientist jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Remote Image Processing Scientist jobs in Seattle, WA look for?

The top searched job categories for Remote Image Processing Scientist jobs in Seattle, WA are:

Research Scientist/Engineer 3

University of Washington

Seattle, WA • On-site, Remote

Full-time

Re-posted 24 days ago


University Of Washington School Of Medicine rating

8.5

Company rating: 8.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

81st of 622 rated colleges and universities


Job description

Job Description
Field of research this position:
The Institute for Protein Design (IPD) at the University of Washington is a world-leading research center focused on creating new proteins that solve challenges in medicine, technology, and sustainability. Founded by Nobel laureate David Baker, the IPD fosters a collaborative, interdisciplinary environment, bringing together expertise in computational design, biochemistry, genome sciences, and structural biology. Current projects include the development of novel therapeutics, vaccines, enzymes, and protein-based nanomaterials. Learn more at ipd.uw.edu.
Purpose of the research project(s):
The Research Scientist/Engineer 3 will play a critical role in supporting and advancing structural characterization efforts at the IPD. By meeting the growing demand for negative-stain and cryo-EM structural characterization, this position directly impacts the success of multiple research projects and collaborative initiatives, contributing to the IPD's mission to design proteins to address global challenges.
Major Duties and responsibilities:
Cryo-EM and ns-EM Structural Characterization (60%)
1. Conduct structural studies of computationally designed proteins and protein nanomaterials using negative-stain EM and cryo-EM single-particle analysis (with an emphasis on sub-100 kDa protein structure determination).
2. Process and analyze EM data, perform 3D reconstructions, and build and validate structural models.
3. Collaborate with internal and external researchers to provide structural insights into protein design projects.
4. Prepare manuscripts, generate publication-quality figures, and contribute to the communication of research findings through presentations and written documentation.
Mentorship and Training (25%)
1. Train and mentor junior researchers, including postdoctoral fellows, graduate students, and staff, in negative-stain EM and cryo-EM methodologies.
2. Develop and maintain standard operating procedures for negative-stain and cryo-EM workflows.
Instrumentation Oversight (15%)
1. Manage and maintain IPD-specific EM equipment, including three Talos L120C microscopes, a negative-stain sample preparation station, and a cryo-EM sample preparation station which includes a Vitrobot Mark IV.
2. Coordinate service and maintenance schedules for IPD-specific instruments and ensure optimal performance.
3. Work with department-owned instrumentation, including the on-site 200 kV Glacios, 300 kV Krios, 120 kV T-12 Spirit, and Aquilos for FIB-milling, as as needed to support IPD research and collaborative efforts.
4. Coordinate the scheduling, operation, and remote utilization of Cryo-EM instruments at national centers, ensuring efficient use of IPD-allocated resources and overseeing the shipment of samples to support research objectives.
Required Qualifications
To be considered for this opportunity your application must demonstrate you meet both the minimum qualifications and additional qualifications listed below. Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license,
certification, and/or registration."
Minimum Requirements:
Applicants who do not meet these qualifications WILL NOT be forwarded to the Hiring Department.
Bachelor's Degree in Biochemistry, Biology, Physics or related field and 4 years of relevant experience with electron microscopy-based sample characterization.
Additional Requirements:
• Expertise in single-particle analysis workflows for cryo-EM.
• Proficiency in cryo-EM data processing software such as cryoSPARC, Relion, EMAN, Dynamo, and/or IMOD, including experience with tools commonly used for tomography data processing.
• Proficiency in structural modeling and validation software such as Phenix, Rosetta, Chimera, ISOLDE, Namdinator, and COOT.
• Strong experience working in command-line environments (Linux/Unix terminals)
• Proven experience mentoring and training researchers in cryo-EM and ns-EM techniques.
• Strong technical and scientific problem-solving skills.
• Exceptional ability to multitask and manage multiple projects simultaneously.
• A collaborative mindset with a strong desire to work as part of a multidisciplinary team.
Desire:
• Doctorate degree in biochemistry, biology, or any other relevant field preferred.
• At least 4 years of hands-on experience in cryo-electron microscopy, including sample preparation, data collection, image processing, and structure building.
• Experience with cryoEM structure determination of small (sub-100 kDa) protein structures.
• Familiarity with managing and maintaining cryo-EM instrumentation.
• Experience with protein expression, purification, and cryo-EM sample optimization.
• Strong understanding of structural biology principles and their application to protein design and analysis.
• Experience with grant writing or securing funding for scientific projects.
• Ability to publish high-quality research in peer-reviewed journals and present findings at conferences.
• Experience implementing or contributing to automated data collection workflows for cryo-EM.
• Familiarity with high-performance computing environments for large-scale data processing.
Compensation, Benefits and Position Details
Pay Range Minimum:
$81,600.00 annual
Pay Range Maximum:
$108,000.00 annual
Other Compensation:
Benefits:
For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-uw-staff/
Shift:
First Shift (United States of America)
Temporary or Regular?
This is a regular position
FTE (Full-Time Equivalent):
100.00%
Union/Bargaining Unit:
UAW Research
About the UW
Working at the University of Washington provides a unique opportunity to change lives - on our campuses, in our state and around the world.
UW employees bring their boundless energy, creative problem-solving skills and dedication to building stronger minds and a healthier world. In return, they enjoy outstanding benefits, opportunities for professional growth and the chance to work in an environment known for its diversity, intellectual excitement, artistic pursuits and natural beauty.
Our Commitment
The University of Washington is committed to fostering an inclusive, respectful and welcoming community for all. As an equal opportunity employer, the University considers applicants for employment without regard to race, color, creed, religion, national origin, citizenship, sex, pregnancy, age, marital status, sexual orientation, gender identity or expression, genetic information, disability, or veteran status consistent with UW Executive Order No. 81.
To request disability accommodation in the application process, contact the Disability Services Office at 206-543-6450 or dso@uw.edu.
Applicants considered for this position will be required to disclose if they are the subject of any substantiated findings or current investigations related to sexual misconduct at their current employment and past employment. Disclosure is required under Washington state law.

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