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Remote Validation Jobs in Bend, OR (NOW HIRING)

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank ...

Accountant - Remote

Bend, OR · Remote

$20 - $30/hr

Remote Job Summary: You'll use your tax expertise to help train next-generation AI systems. The ... Direct experience reviewing or validating AI or technology-driven tax content. * Background in ...

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Remote Validation information

See Bend, OR salary details

$23

$54

$82

How much do remote validation jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for remote validation in Bend, OR is $54.86, according to ZipRecruiter salary data. Most workers in this role earn between $41.59 and $66.68 per hour, depending on experience, location, and employer.

What is remote validation?

A Remote Validation job involves ensuring that systems, software, or processes meet specified requirements and function correctly, typically in regulated industries like pharmaceuticals, healthcare, or manufacturing. Professionals in this role conduct tests, analyze data, and document compliance, all while working remotely. They may validate software applications, equipment, or processes to meet regulatory standards such as FDA, ISO, or GMP guidelines. Strong attention to detail, knowledge of validation protocols, and proficiency with industry regulations are essential for success in this role.

What are the key skills and qualifications needed to thrive in remote validation?

To thrive in Remote Validation, you need a solid background in quality assurance, process validation, and regulatory compliance, often supported by a degree in engineering, life sciences, or a related field. Familiarity with validation protocols, statistical analysis software, and documentation systems like TrackWise is highly valuable, along with certifications such as Six Sigma or ASQ. Excellent attention to detail, strong communication skills, and the ability to work independently are critical soft skills. These competencies ensure rigorous validation processes, effective remote collaboration, and compliance with industry standards.

What are common challenges faced in a remote validation role and how are they addressed?

One of the most common challenges in a Remote Validation position is ensuring thorough communication and documentation when coordinating with on-site teams and cross-functional colleagues. To overcome this, professionals in this role rely heavily on detailed reporting, frequent virtual meetings, and collaborative project management tools to maintain alignment and transparency. Adapting validation strategies to a remote environment also requires a strong understanding of digital validation tools and best practices for remote audits. Regular training and clear standard operating procedures can help keep validation processes efficient and compliant, even when working off-site.

What are popular job titles related to Remote Validation jobs in Bend, OR?

For Remote Validation jobs in Bend, OR, the most frequently searched job titles are:

What job categories do people searching Remote Validation jobs in Bend, OR look for?

The top searched job categories for Remote Validation jobs in Bend, OR are:

What cities near Bend, OR are hiring for Remote Validation jobs?

Cities near Bend, OR with the most Remote Validation job openings:

Infographic showing various Remote Validation job openings in Bend, OR as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $114,101 per year, or $54.9 per hour.

Cheminformatics Specialist - Remote

Bend, OR • Remote

micro1 AI
Software Development • 11 - 50 employees

$80 - $110/hr

Part-time

Posted 25 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.