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Remote Economics Data Science Jobs in Portland, OR

Stryker

Senior Staff Medical Writer (Remote)

Portland, OR · On-site +1

$143K - $238K/yr

Remote Stryker is hiring a Senior Staff Medical Writer to join our Endoscopy Division, to be based ... Conduct systematic literature reviews, evaluate scientific data, and integrate findings into ...

micro1 AI

AI Trainer - Microbiology Expert

Gresham, OR · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Document experimental findings and processes with a focus on clarity for AI training data.

Lipovectra Inc.

Be Seen First

Principal Scientist - Toxicology & Translational Lead *Remote*

Portland, OR · Remote

$175K - $225K/yr

Partner closely with Discovery Biology, Chemistry, and Formulation Science to evaluate nonclinical ... Data Standards & Protocol Governance: Author, update, and review experimental protocols to embed ...

New

Lipovectra Inc.

Be Seen First

Principal Scientist - Toxicology & Translational Lead *Remote*

Portland, OR · Remote

$175K - $225K/yr

Partner closely with Discovery Biology, Chemistry, and Formulation Science to evaluate nonclinical ... Data Standards & Protocol Governance: Author, update, and review experimental protocols to embed ...

New

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All JobsEconomics Data Science JobsRemote Economics Data Science JobsRemote Economics Data Science Jobs in Portland, OR

Remote Economics Data Science information

See Portland, OR salary details

$44K

$151.1K

$213.2K

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

As of Aug 22, 2026, the average yearly pay for remote economics data science in Portland, OR is $151,080.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,700.00 and $176,600.00 per year, depending on experience, location, and employer.

What is a remote economics data scientist?

A Remote Economics Data Scientist is a professional who analyzes large sets of economic and financial data to extract insights, build predictive models, and support decision-making, all while working from a remote location. They combine expertise in economics, statistics, programming, and data analysis to interpret trends and inform business or policy strategies. Remote Economics Data Scientists often use tools such as Python, R, SQL, and data visualization platforms to communicate findings effectively. Their work can span industries like finance, government, consulting, and academia.

How do remote economics data scientists typically collaborate with cross-functional teams?

Remote Economics Data Science professionals often work closely with teams in product, engineering, and business strategy through virtual meetings, shared dashboards, and collaborative tools. Communication is key, as they translate complex economic models and data findings into actionable insights for stakeholders with varying technical backgrounds. Regular check-ins, clear documentation, and participation in agile sprints or project cycles help align goals and ensure that data-driven recommendations are integrated into decision-making processes. Adapting to different time zones and building strong virtual relationships are important aspects of effective collaboration in this remote role.

What are the key skills and qualifications needed to thrive as a remote economics data scientist, and why are they important?

To thrive as a Remote Economics Data Scientist, you need a strong background in economics, statistics, and data analysis, typically supported by a degree in economics, statistics, or a related field. Proficiency in programming languages like Python or R, experience with data visualization tools, and familiarity with databases or cloud platforms are essential technical skills. Strong problem-solving abilities, effective communication, and self-motivation are vital soft skills for collaborating remotely and delivering actionable insights. These skills are crucial for accurately interpreting economic data, building predictive models, and driving data-informed decision-making in a remote environment.

What are the most commonly searched types of Economics Data Science jobs in Portland, OR?

The most popular types of Economics Data Science jobs in Portland, OR are:

What are popular job titles related to Remote Economics Data Science jobs in Portland, OR?

For Remote Economics Data Science jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Remote Economics Data Science jobs in Portland, OR look for?

The top searched job categories for Remote Economics Data Science jobs in Portland, OR are:

What cities near Portland, OR are hiring for Remote Economics Data Science jobs?

Cities near Portland, OR with the most Remote Economics Data Science job openings:

Remote Economics Data Science jobs near you

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Portland, OR • Remote

$80 - $110/hr

Part-time

Posted 19 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery 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 and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

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