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Computer System Validation Csv Remote Jobs in Utah

Graymont Limited

Remote Operations Engineer

Sandy, UT · On-site +1

$66K - $89.30K/yr

... system. Reporting to the Remote Operations Supervisor, the Remote Operations Engineers are ... valid conclusions to drive process efficiencies and improvements. • Maintain shift operation ...

System One

IBM Data Stage Engineer

Cottonwood Heights, UT · Remote

$108.70K - $130.50K/yr

... OR Remote a Possibility Duration - Contract -to-Hire Required qualifications to be successful in this role . Bachelor''s degree in Computer Science, Engineering, Information Systems, or a related ...

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Computer System Validation Csv Remote information

What are the key skills and qualifications needed to thrive as a Computer System Validation (CSV) specialist in a remote role, and why are they important?

To excel as a Computer System Validation (CSV) specialist, you need a solid background in computer science or life sciences, experience with GxP regulations, and knowledge of validation documentation standards. Familiarity with validation management tools, electronic quality management systems (eQMS), and understanding regulatory frameworks like FDA 21 CFR Part 11 or EU Annex 11 is crucial. Strong attention to detail, problem-solving skills, and effective remote communication set top performers apart. These competencies ensure validated systems meet compliance requirements, maintain data integrity, and support regulatory audits in remote environments.

What are some common challenges faced by Computer System Validation (CSV) professionals working remotely, and how can they be addressed?

Remote CSV professionals often encounter challenges such as coordinating validation activities across different teams, ensuring secure access to validation environments, and maintaining clear documentation. Effective communication is key—using project management tools and regular virtual meetings helps keep everyone aligned. It's also important to implement robust cybersecurity measures and standardized documentation practices to ensure compliance. Proactively addressing these challenges fosters a smooth validation process and supports regulatory requirements.

What is a Computer System Validation (CSV) specialist and what do they do remotely?

A Computer System Validation (CSV) specialist is responsible for ensuring that computer systems used in regulated industries, such as pharmaceuticals or biotechnology, meet all required compliance standards and function as intended. When working remotely, CSV specialists perform tasks like developing validation protocols, reviewing documentation, executing test scripts, and liaising with teams via digital tools to ensure systems adhere to regulatory guidelines. Their work helps guarantee data integrity, product quality, and regulatory compliance in industries where strict standards are critical.

What is the difference between Computer System Validation Csv Remote vs Computer Validation Specialist?

AspectComputer System Validation Csv RemoteComputer Validation Specialist
CertificationsGxP, 21 CFR Part 11, CSV certificationsGxP, 21 CFR Part 11, CSV certifications
Work EnvironmentRemote, regulated industries like pharma and biotechOn-site or hybrid in regulated industries
Industry UsagePharmaceutical, biotech, medical devicesPharmaceutical, biotech, medical devices
Job FocusValidating computer systems and software complianceValidating computer systems and software compliance

Both roles require similar certifications and work in regulated industries like pharma and biotech. The main difference is that Computer System Validation Csv Remote typically involves remote work, focusing on validating computer systems remotely, while Computer Validation Specialist may work on-site or in hybrid settings. Both roles aim to ensure compliance with industry standards and regulations.

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Computer System Validation Csv Remote jobs near you
Remote Analytics Engineer & AI Trainer

Remote Analytics Engineer & AI Trainer

DataAnnotation

Salt Lake City, UT • On-site, Remote

$60/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full-time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, up to $60 USD/hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well-documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands-on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end-to-end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time-series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Note: Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #datascience #J-18808-Ljbffr

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