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Remote Optum Data Science Jobs in Seattle, WA (NOW HIRING)

Contractor Location: Remote micro1 is engaging Bioinformatics Scientists to contribute their ... data interpretation within medicinal chemistry. * Assess AI-generated outputs for scientific ...

Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science. * Experience collaborating in multidisciplinary or remote project environments is ...

AI Engineer - Machine Learning 3

Redmond, WA · Remote

$117K - $140K/yr

Requirement - AI Engineer - Machine Learning 3 Location- Redmond, WA 98052-Remote Contract W2 Title: Machine Learning Data Scientist - Research Translation & Prototypin Top 3 Must-Have HARD Skills ...

Product & Engineering (software engineering, platform, QA, DevOps) * Data Science & Analytics (economists, data scientists, research analysts) * Corporate Functions (HR, Finance, Legal, Marketing ...

Showing results 21-40

Remote Optum Data Science information

See Seattle, WA salary details

$47.2K

$162.1K

$228.7K

How much do remote optum data science jobs pay per year?

As of Aug 20, 2026, the average yearly pay for remote optum data science in Seattle, WA is $162,124.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,900.00 and $189,500.00 per year, depending on experience, location, and employer.

What is the difference between Remote Optum Data Science vs Remote Optum Data Analyst?

AspectRemote Optum Data ScienceRemote Optum Data Analyst
Required CredentialsTypically requires a master's or PhD in Data Science, Statistics, or related fieldsBachelor's degree in Data Analysis, Statistics, or related fields often sufficient
Work EnvironmentFocus on advanced modeling, machine learning, and predictive analyticsData cleaning, reporting, and basic analysis tasks
Employer & Industry UsageUsed in healthcare analytics, predictive modeling, and research within OptumUsed for reporting, data management, and supporting decision-making processes

Remote Optum Data Science roles involve developing complex models and algorithms, requiring advanced degrees and technical expertise. In contrast, Remote Optum Data Analyst positions focus on data reporting and basic analysis, often requiring a bachelor's degree. Both roles support healthcare analytics but differ in scope and technical depth.

What are popular job titles related to Remote Optum Data Science jobs in Seattle, WA?

For Remote Optum Data Science jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Remote Optum Data Science jobs in Seattle, WA look for?

The top searched job categories for Remote Optum Data Science jobs in Seattle, WA are:

Infographic showing various Remote Optum Data Science job openings in Seattle, WA as of June 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $162,124 per year, or $77.9 per hour.

Digital Chemistry Specialist - Remote

micro1 AI

Seattle, WA • Remote

$90 - $120/hr

Part-time

Posted 23 days ago


Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.