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Computer System Validation Remote Jobs in Plainfield, NJ

MedReview

DRG Clinical Validation Nurse

Manhattan, NY · On-site +1

$85K - $95K/yr

Ability to use Windows PC with the ability to utilize multiple applications at the same time Remote ... Must be able to sit and use a computer keyboard for extended periods of time. Benefits and perks ...

MedReview

DRG Clinical Validation Nurse

New York, NY · Remote

$85K - $95K/yr

Ability to use Windows PC with the ability to utilize multiple applications at the same time Remote ... Must be able to sit and use a computer keyboard for extended periods of time. Benefits and perks ...

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Computer System Validation Remote information

See Plainfield, NJ salary details

$10

$55

$88

How much do computer system validation remote jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for computer system validation remote in Plainfield, NJ is $55.72, according to ZipRecruiter salary data. Most workers in this role earn between $42.88 and $66.11 per hour, depending on experience, location, and employer.

What is computer system validation (CSV) in a remote job context?

Computer system validation (CSV) is a process used to ensure that IT systems and software used in regulated industries (such as pharmaceuticals or healthcare) work as intended and comply with relevant regulations. In a remote job context, CSV professionals perform validation tasks, documentation, and system testing from an offsite location, often collaborating with teams via digital tools. This remote work typically involves reviewing validation protocols, writing reports, and ensuring compliance with standards like FDA 21 CFR Part 11, all while leveraging secure online platforms to communicate and manage documentation.

What are the key skills and qualifications needed to thrive as a Computer System Validation (CSV) professional working remotely, and why are they important?

To excel as a Computer System Validation Remote professional, you need a solid understanding of regulatory compliance (such as FDA 21 CFR Part 11), risk management, and validation lifecycle processes, often supported by a degree in computer science, engineering, or a related field. Familiarity with validation software, quality management systems (QMS), and documentation tools is typically required, along with certifications like GAMP or Six Sigma being advantageous. Strong attention to detail, analytical thinking, and effective remote communication are crucial soft skills for this role. These competencies ensure validated systems meet compliance standards, minimize risks, and support seamless collaboration in a regulated, distributed environment.

What is the difference between Computer System Validation Remote vs Computer System Validation on-site?

AspectComputer System Validation RemoteComputer System Validation on-site
Work EnvironmentPerforms validation tasks remotely, often from home or a different location from the client site.Works directly at the client or company site, conducting validation activities in person.
Required CredentialsTypically requires certifications like GxP, 21 CFR Part 11, and validation experience, applicable in both settings.Same certifications as remote roles, with additional familiarity with on-site equipment and facilities.
Industry UsageCommon in industries like pharmaceuticals and biotech where remote oversight is feasible.Traditional in regulated industries requiring on-site validation activities.

Both roles require similar certifications and industry knowledge, but the main difference lies in the work environment—remote versus on-site. Remote validation offers flexibility, while on-site validation involves direct interaction at the facility.

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

Remote Computer System Validation (CSV) professionals often encounter challenges such as coordinating validation activities across distributed teams and ensuring secure access to sensitive documentation. Effective communication and use of collaborative tools are crucial for managing documentation reviews, test execution, and issue resolution. Establishing clear validation protocols and regular virtual check-ins with cross-functional teams can help maintain compliance and project momentum. Additionally, leveraging secure cloud-based validation platforms can streamline approvals and maintain data integrity while working remotely.
What job categories do people searching Computer System Validation Remote jobs in Plainfield, NJ look for? The top searched job categories for Computer System Validation Remote jobs in Plainfield, NJ are:
What cities near Plainfield, NJ are hiring for Computer System Validation Remote jobs? Cities near Plainfield, NJ with the most Computer System Validation Remote job openings:
Computer System Validation Remote jobs near you

Data Scientist (forecasting & optimization) Consultant

Teambuilder

Manhattan, NY • Remote

Other

Re-posted 15 days ago

Job description


TeamBuilder is a rapidly growing healthcare SaaS company on a mission to transform
healthcare with our innovative technology. We believe in empowering our customers through
inventive solutions and a commitment to excellence. Our young, rapidly growing team is
looking for passionate professionals who thrive in a dynamic, innovative, and collaborative
environment.
***This role is FULLY REMOTE, though you MUST reside within the United States and be legally
authorized to work in the United States.
Key Values of all TeamBuilders
 Flexibility – Adapt how we work to meet team and customer needs.
 Accountability – We own commitments and results, and follow through as a team
 Clarity – Communicate expectations, priorities, and decisions clearly.
 Transparency – Share decisions, feedback, and context openly and honestly.
The Role
TeamBuilder builds software for ambulatory healthcare operations. The problem is simple:
turn messy healthcare data into actions.
This role sits between data, forecasting models, and optimization. You own forecasts end to
end and work directly with the optimization layer. Shape inputs, validate outputs, and turn
results into something operators can use.
What You’ll Do
 Forecasting model ownership
o Build and iterate production grade demand and volume forecasts
o Evaluate models with backtesting and real-world performance
o Maintain stability with retraining, drift monitoring, and failure handling
o Improve models based on operational outcomes
 Sit at intersection of data and optimization
o Define input data contracts for optimization models including capacity,
constraints, and demand
o Transform raw data into model-ready features and constraints
o Validate solver outputs and identify infeasibility, constraint conflicts, and scaling
issues
o Trace issues back to data assumptions and constraint design
o Convert outputs into usable schedules and recommendations
 Model + system validation
o Compare model output to operational reality and explain gaps
o Run scenario analyses under different constraints
o Improve pipelines that support forecasting and optimization quality
o Test assumptions against real-world variation
 Communication / translation
o Explain models and outputs to non-technical users including operators and
clients
o Translate tradeoffs between accuracy, feasibility, and constraints
o Deliver clear recommendations tied to business outcomes
o Participate in client conversations and defend model behavior
What We’re Looking For
Qualifications
 5+ years in data science or applied analytics
 Experience owning forecasting models in production
 Strong Python and SQL, comfortable with large datasets
 Experience working with messy data
 Ability to explain technical work clearly to non-technical users
Preferred Skills
 Experience in healthcare or complex operational environments such as staffing or
capacity planning
 Experience with capacity-constrained systems
 Familiarity with solvers such as Gurobi
Why You’ll Love Working Here
 Mission-driven team tackling real healthcare challenges.
 Freedom to experiment and innovate without layers of bureaucracy.
 Opportunity to shape the company’s data science culture and R&D direction.
 Flexible work environment and supportive, intellectually curious teammates.
Additional Information
 Job Type: Contracted, PT/FT, Remote
 Compensation: Hourly, potential to go Full-Time, Perm.potential for an annual performance bonus, and/or equity.
 Culture: We foster a collaborative, engaging, mission-driven culture that values
innovation and prioritizes customer success.

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