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Remote Code Review Jobs in Oregon (NOW HIRING)

Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

Senior Software Engineer, Promotions

OR · On-site +1

$122K - $161K/yr

... code review Other duties as required. About You You possess a minimum of 5 years of experience in ... Opportunities for career progression and mentoring others #LI-REMOTE

Senior Software Engineer- Android (REMOTE) Salary Range: Salary Minimum: $89,500.00 Salary Maximum ... Conducts code reviews, provides feedback, and suggests changes as needed. * Continuously learn new ...

Participate in architecture and design reviews to ensure solutions meet scalability, security, and ... Maintain code repositories using modern version control and CI/CD pipelines. * Apply secure coding ...

Software Engineer

OR · On-site +1

Remote Experience: Entry-Mid level Employment Type: Full-Time Industry: Computer and Network ... Participate in pull requests and code reviews and follow coding standards. * Work with team members ...

Sr. Software Engineer - Accounting

$122K - $161K/yr

We support fully remote work, but we have very nice offices in Santa Barbara, CA and San Diego, CA ... Use test-driven development, code reviews, and continuous integration to deliver high-quality ...

Coding Compliance Auditor

OR · Remote

$75K - $90K/yr

... remote-first, high-growth environment. * Review medical records and clinical documentation to ensure accurate, complete, and compliant coding in accordance with CMS regulations, federal and state ...

Product Architect

OR · On-site +1

Remote Experience: Senior Employment Type: Full-Time Industry: Computer and Network Security Job ... Conduct code reviews, pull requests and ensure adherence to coding standards. * Participate in ...

Showing results 41-60

Remote Code Review information

What is the difference between Remote Code Review vs Remote Software Developer?

AspectRemote Code ReviewRemote Software Developer
Required CredentialsKnowledge of coding standards, version control, and code analysis toolsProgramming skills, relevant certifications, and development experience
Work EnvironmentPrimarily reviewing code remotely, often as part of a team or projectDesigning, coding, testing, and deploying software remotely
Employer & Industry UsageTech companies, software firms, open-source projectsTech companies, startups, enterprise software firms
Search & Comparison IntentUnderstanding roles related to code quality and review processesRoles involving software development and programming tasks

Remote Code Review focuses on evaluating and improving code written by developers, requiring knowledge of coding standards and review tools. Remote Software Developers actively create and implement software solutions, requiring programming expertise. Both roles are common in tech industries and often collaborate, but they differ in responsibilities and skill sets.

What are the main challenges faced by professionals in remote code review roles, and how can they be addressed?

One of the main challenges in remote code review roles is effective communication—conveying feedback clearly and constructively without face-to-face interaction. Additionally, understanding the context of code changes and ensuring consistency with team standards can be harder when working remotely. These challenges can be addressed by establishing clear review guidelines, utilizing collaborative tools like code review platforms, and maintaining regular virtual check-ins with the development team. Building strong documentation and participating in team discussions also help remote code reviewers stay aligned with project goals.

What is a remote code review?

A remote code review is the process of examining and evaluating someone’s code from a different location, often using online tools or platforms. This allows software developers to review code changes, suggest improvements, and detect bugs without being physically present with the author. Remote code reviews help ensure code quality, maintain consistency, and foster collaboration within distributed teams. Tools like GitHub, GitLab, and Bitbucket are commonly used to facilitate remote code reviews through features like pull requests and inline comments.

What are the key skills and qualifications needed to thrive as a remote code reviewer, and why are they important?

To thrive as a Remote Code Reviewer, you need expert knowledge of programming languages, software development best practices, and extensive experience with code review processes. Familiarity with version control systems like Git and code review tools such as GitHub, GitLab, or Bitbucket is typically required. Strong attention to detail, effective written communication, and the ability to provide constructive feedback are crucial soft skills in this role. These skills ensure code quality, foster team collaboration, and help maintain reliable and maintainable software in distributed work environments.

What are the most commonly searched types of Code Review jobs in Oregon?

The most popular types of Code Review jobs in Oregon are:

Infographic showing various Remote Code Review job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 3% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Cheminformatics Specialist - Remote

micro1 AI

Salem, OR • Remote

$80 - $110/hr

Part-time

Posted 15 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.