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Contract Biomedical Machine Learning Jobs in Seattle, WA

DocuSign

Director, Software Engineering

Seattle, WA · Hybrid

$287K/yr

... and contract lifecycle management (CLM). What you'll do Docusign operates global, always-on ... You will manage a multidisciplinary team of backend engineers, machine learning engineers, and data ...

Docusign

Director, Software Engineering

Seattle, WA · On-site

$287K/yr

... and contract lifecycle management (CLM). What you'll do Docusign operates global, always-on ... You will manage a multidisciplinary team of backend engineers, machine learning engineers, and data ...

Docugami

Data Science PhD Intern

Kirkland, WA · On-site

... contracts, can assist users in creating new documents more efficiently and consistently, and can ... We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work ...

Staffingine LLC

Artificial Intelligence Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Contract * Lead the development and deployment of machine learning models and analytical solutions for business problems. * Partner with stakeholders to identify opportunities for data science to add ...

Docugami

Data Science PhD Intern

Kirkland, WA · On-site

... contracts, can assist users in creating new documents more efficiently and consistently, and can ... We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work ...

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Showing results 41-60

All JobsContract Biomedical Machine Learning JobsContract Biomedical Machine Learning Jobs in Seattle, WA

Contract Biomedical Machine Learning information

See Seattle, WA salary details

$17

$32

$44

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

As of Aug 8, 2026, the average hourly pay for contract 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 is the difference between Contract Biomedical Machine Learning vs Contract Data Scientist?

AspectContract Biomedical Machine LearningContract Data Scientist
CredentialsBackground in biomedical engineering, machine learning, data analysisBackground in statistics, computer science, data analysis
Work EnvironmentHealthcare, biotech, research labsTech companies, finance, consulting firms
Industry UsageMedical device development, clinical researchBusiness analytics, product development

Contract Biomedical Machine Learning specialists focus on applying machine learning techniques to biomedical data within healthcare and biotech settings. In contrast, Contract Data Scientists work across various industries analyzing data to inform business decisions. While both roles require data analysis skills, Contract Biomedical Machine Learning emphasizes biomedical knowledge and healthcare applications.

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 Contract Biomedical Machine Learning jobs in Seattle, WA? For Contract Biomedical Machine Learning jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Contract Biomedical Machine Learning jobs in Seattle, WA look for? The top searched job categories for Contract Biomedical Machine Learning jobs in Seattle, WA are:
Contract Biomedical Machine Learning jobs near you

Product Manager - Order-to-Cash Automation & Intelligence

Inabia Solutions and Consulting, Inc.

Redmond, WA • On-site

$75 - $80/hr

Contractor

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

  • AI Product Manager - Order-to-Cash Automation & Intelligence
  • Location: Redmond, WA (Onsite - 5 Days per Week)
  • Employment Type: Long-Term Contract (W-2 Only)
  • Work Authorization: U.S. Citizen or Green Card Holder Only (No Sponsorship Available)
  • Compensation: $75.00 - $80.00 per hr.

Preferred Qualifications Experience supporting Amazon, Kuiper, Microsoft, Comcast, Verizon, T-Mobile, or similar high-scale organizations. Experience with:
  • OpenAI
  • Anthropic Claude
  • Amazon Bedrock
  • Azure OpenAI
  • AWS AI Services
  • Google Vertex AI
Knowledge of Fraud Operations, Billing, Tax, Revenue Assurance, or Financial Compliance. Experience building AI copilots, agents, or intelligent workflow tools. Familiarity with Jira, Confluence, SQL, Tableau, Power BI, or similar platforms. Required Qualifications 7+ years of Product Management experience. 3+ years leading AI, Machine Learning, Intelligent Automation, or Generative AI initiatives. Experience managing products supporting Order-to-Cash, eCommerce, Billing, Payments, Subscription Management, Revenue Operations, or Financial Systems. Strong experience writing:
  • Product Requirements Documents (PRDs)
  • Business Requirements Documents (BRDs)
  • User Stories
  • Acceptance Criteria
Experience working in Agile/Scrum environments. Strong understanding of business process automation and workflow optimization. Excellent communication and stakeholder management skills. Experience collaborating with Engineering, Data Science, and Business Operations teams. Stakeholder Management Partner with Finance, Tax, Compliance, Fraud Operations, Legal, Customer Experience, and Engineering leadership. Present AI product strategy, roadmap progress, risks, and business outcomes to executive stakeholders. Drive alignment across technical and business teams. AI & Intelligent Automation
Support initiatives involving: Generative AI (LLMs) AI Assistants and Copilots Agentic AI workflows Intelligent Document Processing Predictive Analytics Fraud Detection Models Conversational AI Recommendation Engines Workflow Automation Customer Service Automation Product Delivery & Execution Define product requirements, user stories, acceptance criteria, and success metrics. Partner with Engineering teams to design, build, test, and deploy AI-powered applications and tools. Collaborate with Data Science, Machine Learning, and Analytics teams to operationalize AI models. Lead Agile ceremonies and product planning activities. Manage product lifecycle from ideation through deployment and continuous improvement. Order-to-Cash Process Optimization
Drive AI capabilities across: Customer onboarding Product catalog management Pricing and promotions Order validation Fraud detection and prevention Billing and invoicing Subscription lifecycle management Tax determination and compliance Returns and refunds Revenue assurance and reconciliation Customer support automation Overview
Inabia Solutions & Consulting is seeking an experienced AI Product Manager to drive the strategy, development, and deployment of AI-powered solutions that enhance and automate critical Order-to-Cash (O2C) business processes.
This role will focus on identifying opportunities to leverage Generative AI, Machine Learning, Intelligent Automation, and Agentic AI capabilities to improve operational efficiency, customer experience, fraud detection, billing accuracy, tax compliance, order processing, and revenue lifecycle management.
The ideal candidate combines strong Product Management expertise with practical experience implementing AI-driven business solutions within large-scale eCommerce, subscription, telecommunications, financial services, or technology environments.
This is a highly visible role requiring close collaboration with Product, Engineering, Finance, Operations, Risk, Fraud, Tax, Compliance, and Customer Experience teams.
Key Responsibilities
AI Product Strategy
  • Identify high-value opportunities to apply AI and automation across the Order-to-Cash lifecycle.
  • Develop AI product roadmaps aligned with business objectives and operational efficiency goals.
  • Prioritize AI initiatives based on customer impact, risk reduction, revenue protection, and operational scalability.
  • Build business cases and success metrics for AI-powered solutions.
Order-to-Cash Process Optimization
Drive AI capabilities across:
  • Customer onboarding
  • Product catalog management
  • Pricing and promotions
  • Order validation
  • Fraud detection and prevention
  • Billing and invoicing
  • Subscription lifecycle management
  • Tax determination and compliance
  • Returns and refunds
  • Revenue assurance and reconciliation
  • Customer support automation
Product Delivery & Execution
  • Define product requirements, user stories, acceptance criteria, and success metrics.
  • Partner with Engineering teams to design, build, test, and deploy AI-powered applications and tools.
  • Collaborate with Data Science, Machine Learning, and Analytics teams to operationalize AI models.
  • Lead Agile ceremonies and product planning activities.
  • Manage product lifecycle from ideation through deployment and continuous improvement.
AI & Intelligent Automation
Support initiatives involving:
  • Generative AI (LLMs)
  • AI Assistants and Copilots
  • Agentic AI workflows
  • Intelligent Document Processing
  • Predictive Analytics
  • Fraud Detection Models
  • Conversational AI
  • Recommendation Engines
  • Workflow Automation
  • Customer Service Automation
Stakeholder Management
  • Partner with Finance, Tax, Compliance, Fraud Operations, Legal, Customer Experience, and Engineering leadership.
  • Present AI product strategy, roadmap progress, risks, and business outcomes to executive stakeholders.
  • Drive alignment across technical and business teams.
Required Qualifications
  • 7+ years of Product Management experience.
  • 3+ years leading AI, Machine Learning, Intelligent Automation, or Generative AI initiatives.
  • Experience managing products supporting Order-to-Cash, eCommerce, Billing, Payments, Subscription Management, Revenue Operations, or Financial Systems.
  • Strong experience writing:
    • Product Requirements Documents (PRDs)
    • Business Requirements Documents (BRDs)
    • User Stories
    • Acceptance Criteria
  • Experience working in Agile/Scrum environments.
  • Strong understanding of business process automation and workflow optimization.
  • Excellent communication and stakeholder management skills.
  • Experience collaborating with Engineering, Data Science, and Business Operations teams.
Preferred Qualifications
  • Experience supporting Amazon, Kuiper, Microsoft, Comcast, Verizon, T-Mobile, or similar high-scale organizations.
  • Experience with:
    • OpenAI
    • Anthropic Claude
    • Amazon Bedrock
    • Azure OpenAI
    • AWS AI Services
    • Google Vertex AI
  • Knowledge of Fraud Operations, Billing, Tax, Revenue Assurance, or Financial Compliance.
  • Experience building AI copilots, agents, or intelligent workflow tools.
  • Familiarity with Jira, Confluence, SQL, Tableau, Power BI, or similar platforms.

Apply