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Remote Scientific Reviewer Jobs in Myrtle Point, OR

SOSi

Data Scientist

OR · On-site +1

The contractor shall conduct quarterly reviews to track cost efficiency, assess system performance ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

SOSi

Data Scientist

OR · Remote

The contractor shall conduct quarterly reviews to track cost efficiency, assess system performance ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

SOSi

Senior Data Scientist

OR · On-site +1

The contractor shall conduct quarterly reviews to track cost efficiency, assess system performance ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

SOSi

Senior Data Scientist

OR · Remote

The contractor shall conduct quarterly reviews to track cost efficiency, assess system performance ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

Prointegrate LLC

Be Seen First

LLM -AI Quality Analyst (Personalization) - English - REMOTE USA

OR · Remote

$16 - $17/hr

The ability to review Side-by-Side (SxS) model responses and spot subtle differences in naturalness ... Science, or a related analytical field). * Experience in data annotation, AI quality evaluation ...

New

IT ENGAGEMENTS INC

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CRA/CPM Study Start-Up and Monitoring Support (Contract Role)

OR · Remote

$68 - $70/hr

Remote Client is a global medical device leader pioneering incisionless focused ultrasound ... Bachelor's degree in life sciences, nursing, or related field (or equivalent experience). * 3+ ...

New

IT ENGAGEMENTS INC

Be Seen First

CRA/CPM Study Start-Up and Monitoring Support (Contract Role)

OR · Remote

$68 - $70/hr

Remote Client is a global medical device leader pioneering incisionless focused ultrasound ... Bachelor's degree in life sciences, nursing, or related field (or equivalent experience). * 3+ ...

New

Servier

Senior Manager, Privacy (Legal)

OR · On-site +1

$160 - $180K/hr

Review completed PIAs to identify risks, recommend mitigations, and support privacy by design ... Experience supporting clients within the life sciences or a similar industry focused on data ...

Data Analysis Inc.

Lead IAM Engineer - Remote

OR · Remote

$125K - $140K/yr

Lead identity governance efforts, including access reviews, RBAC/ABAC models, and compliance with ... Bachelor's degree in Computer Science, Cybersecurity, Information Systems, or related technical ...

All JobsScientific Reviewer JobsRemote Scientific Reviewer JobsRemote Scientific Reviewer Jobs in Myrtle Point, OR

Remote Scientific Reviewer information

See Myrtle Point, OR salary details

$13

$29

$49

How much do remote scientific reviewer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for remote scientific reviewer in Myrtle Point, OR is $29.52, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $37.64 per hour, depending on experience, location, and employer.

What is a remote scientific reviewer?

A Remote Scientific Reviewer is a professional who evaluates scientific manuscripts, research proposals, or grant applications from a remote location, typically for academic journals, funding agencies, or research organizations. Their main role is to assess the quality, accuracy, and originality of scientific work to ensure it meets established standards before publication or funding. Remote Scientific Reviewers use their subject matter expertise to provide constructive feedback and recommendations for improvement. This job allows for flexible work arrangements and often requires strong analytical, writing, and communication skills.

How does a remote scientific reviewer typically collaborate with research teams and authors during the review process?

As a Remote Scientific Reviewer, you will primarily interact with research teams and authors via digital platforms, such as email and manuscript submission systems. Communication is often asynchronous, allowing you to provide detailed feedback, request clarifications, and discuss revisions with authors from anywhere in the world. You may also coordinate with editorial teams and other reviewers to ensure consistency in evaluations and uphold publication standards. While direct meetings are rare, clear and constructive written communication is essential for effective collaboration in this remote role.

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

To thrive as a Remote Scientific Reviewer, you need an advanced degree in a relevant scientific discipline, strong analytical abilities, and expertise in scientific writing and research evaluation. Familiarity with manuscript submission systems, reference management software, and peer review platforms is typically required. Attention to detail, impartial judgment, and clear communication are crucial soft skills for providing constructive feedback and maintaining objectivity. These skills ensure the integrity and quality of scientific publications, supporting the advancement of research within the field.

What job categories do people searching Remote Scientific Reviewer jobs in Myrtle Point, OR look for?

The top searched job categories for Remote Scientific Reviewer jobs in Myrtle Point, OR are:

What cities near Myrtle Point, OR are hiring for Remote Scientific Reviewer jobs?

Cities near Myrtle Point, OR with the most Remote Scientific Reviewer job openings:

Remote Scientific Reviewer jobs near you

Data Scientist

SOSi

OR • On-site, Remote

Full-time

Re-posted 20 days ago

Job description

Company Description
Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.
Job Description
SOSi is seeking a Data Scientist to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities.
Essential Job Duties:
  • The contractor shall develop and refine predictive models, conduct exploratory data analysis, and generate AI-driven insights to enhance intelligence and operational planning.
  • The contractor shall integrate customer feedback into model iteration cycles, leveraging Agile development methodologies to maintain responsiveness to mission requirements.
  • The contractor shall submit the Predictive Model Performance Report, documenting key findings, model accuracy metrics, and operational impact assessments.
  • The contractor shall implement sprint-based Agile methodologies, ensuring rapid development cycles, backlog grooming, and alignment with mission requirements.
  • The contractor shall provide a Rough Order of Magnitude (ROM) Estimate Report before each analytics project, detailing expected Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure requirements.
  • The contractor shall conduct quarterly reviews to track cost efficiency, assess system performance, and optimize analytic workflows through the Quarterly Cost & Resource Utilization Report.

Qualifications
  • Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or;
    • seven (7) years of equivalent experience in machine learning and predictive modeling.
  • Proposed personnel possess the knowledge and capability to develop and refine predictive models, analyze large-scale datasets, and document analytic processes.
  • Proficient in data mining, statistical modeling, and AI-driven forecasting techniques, with experience in working with structured and unstructured data sources.
  • Knowledge of data visualization, feature selection, and geospatial analytics is required.
  • Personnel must be capable of integrating data from multiple sources, ensuring model accuracy, and working within an Agile sprint cycle to deliver iterative improvements.
  • Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required.
  • Personnel must have experience in cloud-based AI/ML tools, such as AWS SageMaker or Azure Machine Learning, and in implementing models into operational workflows.

Preferred Qualifications:
  • Desirable but not required certifications include AWS Certified Data Analytics - Specialty, Microsoft Certified: Azure AI Fundamentals, or Certified Data Scientist (CDS).

Additional Information
Work Environment
  • Full remote flexibility.

Working at SOSi
All interested individuals will receive consideration and will not be discriminated against for any reason.

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