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Remote Data Research Jobs in Portland, OR (NOW HIRING)

Research operational/logistical problems and proactively identify potential solutions. * Lead the ... We use national average to determine pay as we are a remote first company. Individual pay is based ...

Project Talent Model (PTM) is a model that is tailored specifically for long-term, remote client ... software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by ...

Remote We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Remote We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Remote We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Remote We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Remote We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Showing results 21-40

Remote Data Research information

See Portland, OR salary details

$9

$34

$78

How much do remote data research jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for remote data research in Portland, OR is $34.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.05 and $46.33 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities of a remote data research?

A typical day in Remote Data Research involves gathering and verifying large sets of data from various sources, cleaning and organizing data to ensure quality, and analyzing trends or anomalies based on project requirements. Professionals often prepare reports or visualizations to clearly communicate their findings to team members or stakeholders, and may participate in virtual meetings to discuss research goals and progress. Collaboration is usually done via email, chat, or video calls, and while the work is independent, it requires regular check-ins with supervisors or project leads. This role is ideal for those who are detail-oriented, self-driven, and comfortable managing their own workflow remotely.

What is a remote data research?

A Remote Data Research job involves gathering, analyzing, and interpreting data from various sources while working remotely. Responsibilities may include data collection, validation, and generating insights to support decision-making. Professionals in this role often use online databases, surveys, and other digital tools to extract relevant information. Strong analytical skills, attention to detail, and proficiency with data-related software are essential. This position is commonly found in industries like market research, finance, healthcare, and technology.

What are the key skills and qualifications needed to thrive in remote data research, and why are they important?

To excel as a Remote Data Research professional, you need strong analytical skills, attention to detail, and experience with data collection and evaluation, often supported by a degree in statistics, information science, or a related field. Familiarity with data analysis tools such as Excel, SQL, or Python, and sometimes formal certifications in data analytics, are commonly expected. Exceptional time management, self-motivation, and effective written communication enhance success in this remote role. These abilities are critical for ensuring accurate research, meeting deadlines, and reporting findings clearly while working independently.

What are the most commonly searched types of Data Research jobs in Portland, OR? The most popular types of Data Research jobs in Portland, OR are:
What are popular job titles related to Remote Data Research jobs in Portland, OR? For Remote Data Research jobs in Portland, OR, the most frequently searched job titles are:
Infographic showing various Remote Data Research job openings in Portland, OR as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $71,758 per year, or $34.5 per hour.

Digital Chemistry Specialist - Remote

micro1 AI

Beaverton, OR โ€ข Remote

$90 - $120/hr

Part-time

Posted 10 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 โ€” 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.