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Remote Biomedical Machine Learning Jobs in Seattle, WA

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Graph Database Architect

Bellevue, WA · Remote

$65.25 - $84/hr

Remote Duration: Long term contract About the Role: We are seeking an experienced Graph Database ... Knowledge of machine learning or AI applications leveraging graph databases. * Experience in ...

Senior Java Developer- Remote

Seattle, WA · On-site +1

$65.25 - $83/hr

... machine learning, and operational metrics analysis. • Lead technical projects and mentor junior members in the development team. Qualifications • Proficiency with both relational and NoSQL data ...

Significant experience with modern machine learning, frameworks, and Python. * Practical experience ... This position is onsite in Redmond, WA, and not open to remote status at this time.

Ability to work effectively in a remote team environment * Good communication skills to collaborate with cross-functional teams * Experience with AI or machine learning technologies is a plus ...

Developer

Seattle, WA · On-site +1

Ability to work effectively in a remote team environment * Good communication skills to collaborate with cross-functional teams * Experience with AI or machine learning technologies is a plus ...

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Remote Biomedical Machine Learning information

See Seattle, WA salary details

$17

$32

$44

How much do remote biomedical machine learning jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for remote biomedical machine learning in Seattle, WA is $32.46, according to ZipRecruiter salary data. Most workers in this role earn between $27.64 and $36.63 per hour, depending on experience, location, and employer.

What are some unique challenges faced when working remotely as a Biomedical Machine Learning professional, and how can they be addressed?

Remote Biomedical Machine Learning professionals often face challenges related to accessing large and sensitive datasets, ensuring compliance with data privacy regulations, and maintaining effective communication with interdisciplinary teams such as clinicians and researchers. To address these, it's important to become familiar with secure data transfer protocols, collaborate closely with IT and compliance officers, and utilize robust project management and communication tools. Regular virtual meetings and clear documentation can help bridge gaps and ensure alignment on project goals.

What are the key skills and qualifications needed to thrive as a Remote Biomedical Machine Learning Specialist, and why are they important?

Thriving in Remote Biomedical Machine Learning requires expertise in machine learning, data analysis, and a strong background in biomedical sciences, often supported by an advanced degree in a related field. Proficiency with programming languages such as Python or R, experience with frameworks like TensorFlow or PyTorch, and familiarity with medical data systems are typically necessary. Excellent problem-solving skills, communication abilities, and self-motivation are standout soft skills for remote collaboration and research. These competencies are vital to effectively develop innovative biomedical solutions, ensure data integrity, and drive impactful research in a distributed work environment.

What are remote biomedical machine learning jobs?

Remote biomedical machine learning jobs involve applying machine learning and artificial intelligence techniques to biomedical data, such as medical images, genetic information, or clinical records, while working from a remote location. Professionals in these roles develop algorithms to assist in disease diagnosis, drug discovery, or patient outcome prediction. These jobs typically require strong programming skills, experience with data science tools, and a background in biomedical sciences or related fields. Remote positions offer flexibility and the ability to collaborate with interdisciplinary teams from anywhere in the world.

What is the difference between Remote Biomedical Machine Learning vs Remote Biomedical Data Analyst?

AspectRemote Biomedical Machine LearningRemote Biomedical Data Analyst
Required CredentialsMaster's or PhD in Bioinformatics, Data Science, or related fields; experience with ML frameworksBachelor's or Master's in Biology, Data Analysis, or related; proficiency in data visualization and statistical tools
Work EnvironmentCollaborative remote teams, research labs, tech companiesRemote healthcare organizations, research institutions, biotech firms
Employer & Industry UsageTech companies, biotech startups, research institutionsHospitals, healthcare providers, pharmaceutical companies

Remote Biomedical Machine Learning specialists focus on developing algorithms and models to analyze biomedical data, often requiring advanced degrees and programming skills. In contrast, Remote Biomedical Data Analysts interpret and visualize biomedical datasets, typically with a focus on statistical analysis. Both roles are vital in healthcare and biotech industries but differ in technical depth and responsibilities.

What are the most commonly searched types of Biomedical Machine Learning jobs in Seattle, WA? The most popular types of Biomedical Machine Learning jobs in Seattle, WA are:
What are popular job titles related to Remote Biomedical Machine Learning jobs in Seattle, WA? For Remote Biomedical Machine Learning jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Remote Biomedical Machine Learning jobs in Seattle, WA look for? The top searched job categories for Remote Biomedical Machine Learning jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Remote Biomedical Machine Learning jobs? Cities near Seattle, WA with the most Remote Biomedical Machine Learning job openings:
Director of Analytics

Director of Analytics

University of Washington

Seattle, WA • On-site, Remote

Full-time

Medical, Life, Retirement, PTO

Posted 20 days ago


University Of Washington School Of Medicine rating

7.8

Company rating: 7.8 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

179th of 553 rated colleges and universities


Job description

Job Description
UW MEDICINE IT SERVICES has an outstanding job opportunity for a Director of Analytics.
WORK SCHEDULE
  • 100% FTE - 40 hours per week
  • Day Shift - UW MEDICINE ITS SERVICES CORE HOURS ARE 08:00 - 17:00 (PST), Monday-Friday

DEPARTMENT DESCRIPTION
UW Medicine IT Services (ITS) is a shared services organization that supports all of UW Medicine. UW Medicine is comprised of Harborview Medical Center (HMC), UW Medical Center-Montlake Campus (UWMC-Montlake), UW Medical Center-Northwest Campus (UWMC-NW), UW Medicine Primary Care (UWMPC), UW Physicians (UWP), UW School of Medicine (SOM), and Airlift Northwest (ALNW). ITS is responsible for the ongoing support and maintenance of the infrastructure and applications which support all these institutions, along with the implementation of new services and applications that are used to support and further the UW Medicine mission.
POSITION HIGHLIGHTS
  • HYBRID opportunity - Mostly remote, but requires onsite time at the UW Tower as needed
  • 15 days of vacation your first year - Also, 12 days of sick time, 1 personal holiday, and 11 paid holidays each year
  • 100% matching, 100% immediately vesting 403(b)

PRIMARY JOB RESPONSIBILITIES
The mission of UW Medicine ITS Analytics is that UW Medicine can easily generate and use trusted data to improve the health of the public via actionable information. The guiding principles are 1) Partnership and centralized governance are imperative to enable systemness, 2) Accountabilty for trusted data, transparent prioritization, service reliability, self-service enablement, and stakeholder satisfaction, and 3) Commitment to customer satisfaction and ease of use (defined as efficient, transparent, timely, cost effective, easy).
The Director of Analytics provides enterprise leadership for UW Medicine's Analytics operations, data products, cloud analytics platforms, and AI-ready data ecosystem. Reporting to the Chief Data Officer, this role translates data and analytics strategy into reliable operational execution, ensuring that UW Medicine has trusted, governed, secure, and scalable data capabilities to support clinical care, operations, finance, quality, research, education, and executive decision-making. The Director leads the modernization of analytics from traditional reporting and dashboards toward governed self-service, reusable data products, predictive and prescriptive analytics, and responsible AI enablement.
Areas of responsibility include, but are not limited to:
  • Trusted data foundation - quality, governance, metadata, lineage, security, compliance
  • Modern analytics delivery - data products, dashboards, semantic layers, self-service
  • AI readiness - predictive analytics, machine learning support, responsible AI governance
  • Operational excellence - intake, prioritization, SLAs, customer satisfaction, staff leadership, budget, vendor management

REQUIREMENTS
  • Bachelor's degree in Analytics focused discipline (Computer Science, Biostatistics, Biomedical Information, Healthcare Information, Business Management) or a BS in another area with at least 10+ years of experience equivalent to a BS in an analytics focused discipline or equivalent education and/or experience
  • 10+ years of experience to include:
    • Strategic and operational oversight for enterprise-wide analytics experience
    • 6+ years' experience leading and managing technology and/or business professionals
    • 5+ years' experience managing customer and vendor relationships
    • Demonstrated management and leadership capabilities with proven ability to influence in matrix environment
    • Demonstrated ability leading analytics modernization in a complex, regulated environment
    • Proven ability to make administrative/procedural decisions and provide guidance and leadership to professional personnel
    • Proven ability to build partnerships across clinical, operational, financial, research, compliance, security, and technology stakeholders

ABOUT UW MEDICINE - WHERE YOUR IMPACT GOES FURTHER
UW Medicine is Washington's only health system that includes a top-rated medical school and an internationally recognized research center. UW Medicine's mission is to improve the health of the public by advancing medical knowledge, providing outstanding primary and specialty care to the people of the region, and preparing tomorrow's physicians, scientists and other health professionals.
All across UW Medicine, our employees collaborate to perform the highest quality work with integrity and compassion and to create a respectful, welcoming environment where every patient, family, student and colleague is valued and honored. Nearly 29,000 healthcare professionals, researchers, and educators work in the UW Medicine family of organizations that includes: Harborview Medical Center, UW Medical Center - Montlake, UW Medical Center - Northwest, UW Medicine Primary Care, UW Physicians, UW School of Medicine, and Airlift Northwest.
Become part of our team. Join our mission to make life healthier for everyone in our community.
Compensation, Benefits and Position Details
Pay Range Minimum:
$185,004.00 annual
Pay Range Maximum:
$234,000.00 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:
Not Applicable
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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