Genovice
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This is a remote position.
A growing technology company serving pharmaceutical and other regulated manufacturing environments is seeking an experienced Senior Computerized System Validation Engineer.
This is a hands-on validation role responsible for planning, developing, executing, and maintaining computerized system validation activities for a technology platform that includes cloud software, edge devices, scientific instrument connectivity, data-processing services, APIs, databases, and integrations with laboratory and manufacturing systems.
The Senior CSV Validation Engineer will translate system functionality and regulatory requirements into practical, risk-based validation deliverables. This person will work closely with Engineering, Product, Quality, and technical subject-matter experts to ensure systems are appropriately specified, tested, documented, and maintained in a validated state.
This role is distinct from independent Quality oversight. The Senior CSV Validation Engineer will prepare and execute validation work, investigate discrepancies, and assemble objective evidence for review and approval by Quality.
Develop and execute risk-based validation strategies for new systems, product features, integrations, infrastructure changes, and customer implementations
Define validation scope based on intended use, system complexity, data-integrity impact, product-quality risk, and applicable regulatory requirements
Create and maintain computerized system validation deliverables, including:
Validation plans
System and intended-use descriptions
User requirements specifications
Functional and configuration specifications
Data-flow and system-interface documentation
GxP and data-integrity risk assessments
Validation test plans and protocols
Installation Qualification documentation
Operational Qualification documentation
Performance Qualification documentation, where applicable
Requirements traceability matrices
Validation deviation and discrepancy records
Validation summary reports
System retirement and data-migration documentation
Author clear, objective, and testable acceptance criteria
Execute validation protocols and accurately document results and supporting evidence
Ensure requirements, risks, tests, defects, and validation evidence are fully traceable
Assemble complete validation packages for independent Quality review and approval
Apply Computer Software Assurance principles where appropriate while maintaining compliance with customer and regulatory expectations
Validate systems that combine browser-based applications, cloud services, APIs, databases, edge devices, and scientific instruments
Validate instrument onboarding, configuration, communication, data capture, remote operation, and result processing
Verify data flows from scientific instruments through edge and cloud components into external laboratory or manufacturing systems
Validate data transformation, mapping, contextualization, unit conversion, storage, retrieval, and synchronization
Verify integrations with LIMS, MES, ELN, QMS, and other customer systems
Assess and test interface risks, including:
Incomplete or malformed data
Incorrect field mappings
Duplicate or delayed transactions
Communication interruptions
Device disconnection
Partial processing
Failed synchronization
Retry and recovery behavior
Incorrect timestamps or record attribution
Confirm that system behavior during network or power interruptions does not result in lost, duplicated, corrupted, or incorrectly attributed data
Validate system recovery, backup, restore, business-continuity, and disaster-recovery controls where applicable
Assess system functionality against FDA 21 CFR Part 11, EU GMP Annex 11, PIC/S GMP, GAMP 5, and applicable Asia-Pacific expectations
Validate controls for:
Electronic records
Electronic signatures
Audit trails
User identity and authentication
Role-based access
Security and unauthorized-access prevention
Date and time controls
Record review and approval
Data retention and archival
Backup and recovery
System availability
Data migration
Verify that audit trails accurately capture relevant user activity, system events, changes, timestamps, and record history
Test electronic-signature meaning, attribution, manifestation, security, and linkage to the associated electronic record
Apply ALCOA+ principles throughout validation planning, execution, and documentation
Ensure validation evidence is complete, attributable, legible, contemporaneous, original, accurate, and inspection-ready
Perform validation impact assessments for software releases, configuration changes, infrastructure updates, bug fixes, and integration changes
Determine the appropriate level of validation and regression evidence for each change
Support release planning by identifying validation dependencies, risks, deliverables, and timelines
Maintain validation documentation as the platform and supporting infrastructure evolve
Support periodic system reviews to confirm that systems remain fit for intended use and in a validated state
Assess deviations, incidents, CAPAs, security events, and known defects for validation impact
Support controlled system retirement, data migration, archival, and decommissioning activities
Ensure open validation discrepancies are appropriately evaluated, documented, resolved, or formally accepted before release
Partner with Engineering and Product teams to make requirements clear, testable, and traceable
Review engineering test plans and results to determine whether existing evidence can be appropriately leveraged for validation
Work with software testers to avoid unnecessary duplication while ensuring GxP risks are adequately covered
Coordinate validation activities across Engineering, Product, Operations, Quality, suppliers, and customer teams
Respond constructively to independent Quality review comments and resolve documentation or evidence gaps
Support supplier assessments for cloud services, software components, infrastructure providers, and other GxP-relevant vendors
Prepare validation documentation for customer audits, supplier audits, and regulatory inspections
Participate in audit interviews and clearly explain validation strategies, risk decisions, test evidence, and system controls
Support responses to audit observations and complete assigned corrective actions
At least 10 years of computerized system validation experience in pharmaceutical, biotechnology, life sciences, or another GxP-regulated environment
Demonstrated experience personally creating and executing end-to-end CSV deliverables
Strong working knowledge of:
FDA 21 CFR Part 11
EU GMP Annex 11
PIC/S GMP expectations
GAMP 5
ALCOA+ data-integrity principles
Experience applying risk-based validation and Computer Software Assurance approaches
Experience writing user requirements, risk assessments, validation plans, protocols, traceability matrices, deviations, and validation summary reports
Experience executing and documenting IQ, OQ, and PQ activities where applicable
Experience validating configurable software, SaaS applications, cloud platforms, laboratory systems, manufacturing systems, or integrated technologies
Strong understanding of electronic records, electronic signatures, audit trails, access controls, backup, recovery, security, retention, and archival requirements
Experience evaluating software changes and determining appropriate validation and regression scope
Ability to review technical documentation, system architecture, data flows, API specifications, and engineering test evidence
Excellent technical writing and documentation skills
Strong analytical and troubleshooting abilities
Ability to manage multiple validation workstreams and deliverables with limited supervision
Ability to collaborate effectively in a remote, cross-functional environment
Experience validating platforms that combine cloud software, hardware, edge computing, IoT devices, and scientific instruments
Experience with laboratory instruments used in pharmaceutical manufacturing or controlled environments
Experience validating integrations with LIMS, MES, ELN, or QMS platforms
Familiarity with REST APIs, relational databases, SQL, MQTT, and asynchronous messaging
Experience validating data transformations, field mappings, unit conversions, and multi-vendor data formats
Experience working within an Agile software-development lifecycle
Experience leveraging automated engineering tests as validation evidence
Familiarity with infrastructure qualification and cloud supplier assessment
Experience supporting customer-specific configurations and system deployments
Experience with Japanese PMDA expectations or other Asia-Pacific authorities operating within or aligned with PIC/S frameworks
Experience participating in customer audits or regulatory inspections
Familiarity with deviation management, CAPA, change control, document control, and periodic review processes
The successful candidate understands that validation is more than producing documents. You can understand how a complex system works, identify the functions and data most critical to regulated users, and create proportionate evidence that the system is fit for its intended use.
You are comfortable moving between regulatory requirements and technical details. You can discuss data integrity with Quality, API behavior with Engineering, intended use with Product, and operational workflows with customers.
You produce clear, defensible documentation and do not rely on vague or repetitive test scripts. You know how to challenge requirements, investigate discrepancies, document unexpected results, and distinguish true product risks from low-value documentation exercises.
You are also comfortable working in a growing organization where validation processes are still maturing. You can introduce structure, templates, and discipline while remaining practical and delivery-focused.
During the first six months, the Senior CSV Validation Engineer will:
Develop a detailed understanding of the platformβs architecture, intended uses, data flows, and GxP-critical functions
Establish consistent, risk-based validation deliverables and templates
Complete validation packages for priority systems, features, and integrations
Improve traceability among requirements, risks, tests, defects, and validation evidence
Establish an effective approach for leveraging engineering testing without compromising Quality independence
Strengthen validation impact assessments for software and infrastructure changes
Identify and remediate gaps in existing validation documentation
Improve the completeness, consistency, and audit readiness of validation records
Support the Quality organization in maintaining the platform in a validated state
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