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Remote Football Data Analytics Jobs in Portland, OR

Conflicts Attorney (Remote)

Portland, OR · Remote

$160K - $220K/yr

This is a fully remote position, offering an opportunity to contribute to a top-tier legal team ... You'll be responsible for analyzing new business intake, reviewing client and matter data, and ...

DemandFactor is a data-driven B2B growth and demand-generation company helping brands find, engage ... Manage marketing KPIs, analytics, attribution, and budget * Build and grow the marketing team What ...

Senior IT Auditor

Hillsboro, OR · On-site +1

$102K - $134K/yr

Continuously monitor the risk profile of assigned processes by analyzing data trends, incorporating ... Proven commitment to continuous learning, ability to work as part of a team using remote ...

Showing results 21-40

Remote Football Data Analytics information

See Portland, OR salary details

$26

$58

$100

How much do remote football data analytics jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for remote football data analytics in Portland, OR is $58.06, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $65.77 per hour, depending on experience, location, and employer.

What is the difference between Remote Football Data Analytics vs Remote Sports Data Analyst?

AspectRemote Football Data AnalyticsRemote Sports Data Analyst
CredentialsDegree in Data Science, Sports Management, or related field; knowledge of football statisticsDegree in Data Science, Sports Management, or related field; broad sports knowledge
Work EnvironmentRemote, focused on football data projectsRemote, covering multiple sports or general sports data analysis
Industry UsagePrimarily in football clubs, leagues, and football-focused mediaIn various sports organizations, media outlets, and analytics firms
Search & Comparison IntentSpecific to football data analysis rolesBroader sports data analysis roles

Remote Football Data Analytics focuses specifically on football-related data, requiring specialized football knowledge and analytics skills. In contrast, Remote Sports Data Analyst roles encompass multiple sports, demanding broader sports industry understanding. Both roles often share similar credentials and work environments but differ in their scope and industry focus.

What are the most commonly searched types of Football Data Analytics jobs in Portland, OR? The most popular types of Football Data Analytics jobs in Portland, OR are:
What are popular job titles related to Remote Football Data Analytics jobs in Portland, OR? For Remote Football Data Analytics jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Remote Football Data Analytics jobs in Portland, OR look for? The top searched job categories for Remote Football Data Analytics jobs in Portland, OR are:
Infographic showing various Remote Football Data Analytics job openings in Portland, OR as of August 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 100% Remote job distribution, with an average salary of $120,763 per year, or $58.1 per hour.

Digital Chemistry Specialist - Remote

micro1 AI

Gresham, OR • Remote

$90 - $120/hr

Part-time

Posted 15 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.