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Remote Science Jobs in Beaverton, OR (NOW HIRING)

Danaher

District Sales Manager - West

Portland, OR · On-site +1

$276K - $286K/yr

Are you ready to accelerate your potential and make a real difference within life sciences ... Experience leading and operating effectively within a remote, geographically dispersed organization.

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All JobsScience JobsRemote Science JobsRemote Science Jobs in Beaverton, OR

Remote Science information

See Beaverton, OR salary details

$25.5K

$50.3K

$82.2K

How much do remote science jobs pay per year?

As of Sep 8, 2026, the average yearly pay for remote science in Beaverton, OR is $50,349.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,100.00 and $54,100.00 per year, depending on experience, location, and employer.

What is remote science?

Remote science jobs are positions in scientific fields that can be performed outside of traditional laboratory or office environments, typically from home or any location with internet access. These jobs may include roles in research, data analysis, scientific writing, consulting, or education. Advances in technology and communication tools have made it possible for scientists to collaborate, conduct experiments, and analyze data remotely. Remote science jobs offer flexibility and can help employers and employees reach a broader talent pool. Common areas include biology, chemistry, environmental science, and healthcare research.

What skills and qualifications are needed to thrive as a remote science professional?

To thrive as a Remote Science professional, you need a strong background in your scientific discipline, analytical skills, and typically a relevant degree or higher qualification. Familiarity with data analysis tools, virtual collaboration platforms, and scientific software such as Python, R, or MATLAB is important. Excellent written communication, time management, and self-motivation are standout soft skills in this remote environment. These abilities ensure effective research, collaboration, and productivity while working independently from various locations.

What are common challenges faced by professionals working in remote science roles, and how can they be addressed?

Professionals in remote science roles often face challenges such as effective communication across time zones, limited access to lab equipment, and maintaining collaboration with team members. To address these issues, it is helpful to establish regular virtual check-ins, utilize collaborative digital tools, and set clear expectations for project milestones. Many teams also adopt cloud-based data sharing and remote access to specialized software, ensuring that scientific work continues smoothly despite physical distance.

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

AspectRemote ScienceRemote Data Analyst
Required CredentialsScience degrees, research experience, technical skillsStatistics, data analysis certifications, technical skills
Work EnvironmentResearch labs, academic institutions, remote research projectsBusiness, finance, tech companies, remote data analysis roles
Employer & Industry UsageUniversities, research institutes, biotech firmsCorporations, consulting firms, tech startups
Search & Comparison IntentUnderstanding research roles, scientific projectsData analysis tasks, business insights

Remote Science and Remote Data Analyst roles share a focus on technical skills and remote work environments. However, Remote Science typically involves research, scientific experiments, and academic or biotech settings, while Remote Data Analysts focus on interpreting data for business insights in corporate environments. Both roles require analytical skills but differ in industry application and specific credentials.

What remote science jobs are there?

Remote science jobs include roles such as research scientists, data analysts, laboratory technicians, and scientific writers. These positions often require specialized knowledge, relevant degrees, and skills in data analysis, laboratory techniques, or scientific software, and may involve collaboration through digital communication tools.

What are the most commonly searched types of Science jobs in Beaverton, OR?

The most popular types of Science jobs in Beaverton, OR are:

What are popular job titles related to Remote Science jobs in Beaverton, OR?

For Remote Science jobs in Beaverton, OR, the most frequently searched job titles are:

What job categories do people searching Remote Science jobs in Beaverton, OR look for?

The top searched job categories for Remote Science jobs in Beaverton, OR are:

What cities near Beaverton, OR are hiring for Remote Science jobs?

Cities near Beaverton, OR with the most Remote Science job openings:

Remote Science jobs near you
Infographic showing various Remote Science job openings in Beaverton, OR as of August 2026, with employment types broken down into 11% Internship, 70% Full Time, and 19% Part Time. Highlights an 100% Remote job distribution, with an average salary of $50,349 per year, or $24.2 per hour.

Product Manager | Mandarin-speaking | Remote (Portland-based) | Competitive Salary + Benefits | Tech

White Bay

Portland, OR • On-site, Remote

Full-time

Posted 13 days ago

Job description

Product Manager | Mandarin-speaking | Remote (Portland-based) | Competitive Salary + Benefits | Tech



The Company

A high-growth technology organization operates at the intersection of advanced software, data, and digital commerce. This ambitious team is building sophisticated tools that help modern businesses scale more efficiently, combining automation with strategic human insight. With a strong emphasis on learning, accountability, and thoughtful execution, the organization values people who thrive in fast-moving environments and take ownership of meaningful outcomes.


The Role

They are seeking an AI Product Manager to design and deliver intelligent product capabilities that sit at the intersection of user needs, machine learning, and business strategy. This role owns the development of AI-powered features ranging from optimization and recommendations to reporting intelligence, automated workflows, and emerging generative experiences.

This position is well suited for someone who enjoys working hands-on with technical teams while staying deeply connected to real customer problems. The role partners closely with engineering, data science, and design to ensure AI systems deliver meaningful, trusted outcomes.


The Responsibilities


AI Product Strategy

  • Define and evolve the roadmap for AI-driven functionality, including prediction models, optimization systems, scoring frameworks, and insight-generation tools.
  • Translate complex customer challenges into machine learning opportunities, thoughtfully balancing automation with human oversight.
  • Collaborate with data science, engineering, and design to shape explainable and reliable AI behavior.


Cross-Functional Delivery

  • Work closely with engineering, data science, design, and operations teams to bring AI products from concept to production.
  • Align business partners, go-to-market teams, and leadership through clear priorities, metrics, and product narratives.
  • Lead discussions around feasibility, including data readiness, algorithmic tradeoffs, and performance constraints.


Model and Data Lifecycle

  • Partner with data science to define data needs, training approaches, evaluation methods, and success criteria for models.
  • Design and run experiments such as A/B tests, offline evaluations, and iterative model improvements.
  • Establish feedback loops between users, models, and outcomes to drive continuous improvement.


User Experience and Adoption

  • Ensure AI features are easy to use, dependable, and transparent for both customers and internal teams.
  • Shape workflows, interfaces, and explanations that build trust in AI-driven recommendations.
  • Balance automation with appropriate configurability, safeguards, and override mechanisms.


Product Execution

  • Own product documentation including requirements, specifications, user stories, and acceptance criteria.
  • Prioritize initiatives based on customer impact, data opportunity, technical feasibility, and strategic value.
  • Track success using metrics such as accuracy, lift, ROI, adoption, latency, and user satisfaction.


The Requirements

  • Bachelor’s degree in Computer Science, Engineering, AI/ML, Business, or a related field.
  • 2–5 years of product management experience, preferably working with data- or ML-driven products.
  • Proven ability to deliver products end-to-end in technical, data-rich environments.
  • Solid understanding of machine learning concepts including model training, evaluation, prediction systems, and optimization logic.
  • Familiarity with data pipelines, feature engineering, and experimentation frameworks.
  • Experience working in Agile environments with engineering and data science teams.
  • Strong communication skills with the ability to explain complex AI concepts to non-technical audiences.
  • Analytical mindset with experience using SQL, dashboards, or data analysis tools
  • Mandarin language skills to support cross-regional collaboration.



Preferred Qualifications

  • Experience in advertising technology, marketing platforms, retail media, or demand-side systems.
  • Exposure to generative AI, large language models, agent-based workflows, or retrieval-augmented systems.
  • Experience designing explainability, trust, safety, or model governance features.


Apply Now

This role offers the chance to build practical AI products that directly influence customer outcomes at scale. If they enjoy solving complex problems, collaborating across disciplines, and shaping how AI is used responsibly in real-world systems, they are encouraged to apply and be part of what comes next.


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