Quality Assurance - Life Sciences Robotics — P5
QUALIT1.QUALITYA898D.P5
Quality engineering and computer system validation for integrated robotic laboratory automation in regulated life-sciences (GxP) environments. Distinct from general software QA in its grounding in GMP/GAMP 5 computer system validation, IQ/OQ/PQ qualification, and hardware-in-the-loop testing of fully integrated robotic workcells (liquid handlers, vision systems, PLCs); distinct from manufacturing/process QA in its focus on the automation software stack, test automation frameworks, and CI/CD-integrated quality gates across the robotics codebase. Spans configuration and unit testing of automation software through end-to-end QA ecosystem ownership and regulatory inspection leadership.
Quality engineering and computer system validation for integrated robotic laboratory automation in regulated life-sciences (GxP) environments. Distinct from general software QA in its grounding in GMP/GAMP 5 computer system validation, IQ/OQ/PQ qualification, and hardware-in-the-loop testing of fully integrated robotic workcells (liquid handlers, vision systems, PLCs); distinct from manufacturing/process QA in its focus on the automation software stack, test automation frameworks, and CI/CD-integrated quality gates across the robotics codebase. Spans configuration and unit testing of automation software through end-to-end QA ecosystem ownership and regulatory inspection leadership.
Focus — Quality Assurance - Life Sciences Robotics
Quality engineering and computer system validation for integrated robotic laboratory automation in regulated life-sciences (GxP) environments. Distinct from general software QA in its grounding in GMP/GAMP 5 computer system validation, IQ/OQ/PQ qualification, and hardware-in-the-loop testing of fully integrated robotic workcells (liquid handlers, vision systems, PLCs); distinct from manufacturing/process QA in its focus on the automation software stack, test automation frameworks, and CI/CD-integrated quality gates across the robotics codebase. Spans configuration and unit testing of automation software through end-to-end QA ecosystem ownership and regulatory inspection leadership.
Material SKILL differential vs the function baseline.
Responsibilities by level
What this person actually does at each level on the professional track — escalating scope, not one generic blob. Your level is highlighted.
- Configures in-lab settings for automation software such as Cellario and Green Button Go to train robotic equipment, and runs unit test scripts to validate remotely programmed software
- Executes manual test cases written by senior team members and builds/operates debugging scripts with simple parallel development in the production environment
- Conducts routine quality checks and handles documentation in accordance with GMP and good documentation practices
- Applies foundational principles of quality control and quality assurance and applicable regulatory guidelines to in-lab automation tasks
- Logs defects and test results in JIRA and TestRail, escalating anomalies in robotic equipment behavior to senior engineers
- Troubleshoots automation protocols independently to resolve hardware/software and fluid-handling issues across Beckman, Tecan, and Hamilton liquid handling platforms
- Builds regression suites and automated test coverage across the robotics stack, configuring test environments and applying risk-based testing prioritization
- Performs test automation with Selenium or Cypress and API testing using Postman or RestAssured against automation control interfaces
- Supports assay validation on automation platforms and participates in Agile ceremonies, planning own day-to-day work against project milestones
- Applies in-depth understanding of FDA, EMA, and ICH regulatory standards and ALCOA+ data integrity principles to test design and documentation
- Designs test automation frameworks and integrates quality gates into CI/CD pipelines (Jenkins, GitHub Actions) for the robotics codebase
- Creates and executes validation protocols (IQ, OQ, PQ) for integrated robotic workcells and computerized systems following GAMP 5 and the V-model
- Performs risk assessments and ensures process integrity across mechanical, electrical, and control-system domains, selecting appropriate test methods for complex variables
- Owns systemic quality beyond feature-level testing and advocates for quality in architectural discussions with engineering teams
- Documents test strategy, manages cross-functional stakeholders across manufacturing, R&D, and supply chain, and may lead validation project teams
- Assumes technical leadership in the design and implementation of automated test frameworks spanning simulation, hardware-in-the-loop (HIL), API, and integration testing
- Prevents entire categories of quality issues through infrastructure and process design, embedding CSV within the Pharmaceutical Quality System
- Leads or participates in regulatory inspections (FDA, EMA, MHRA, WHO) and guides a site through successful inspection
- Conducts performance and security testing fundamentals and resolves complex validation challenges in collaboration with QA, production, and engineering teams
- Acts independently on broad quality assignments contributing to company quality objectives, and mentors junior and mid-level engineers
- Architects and owns the entire QA ecosystem spanning test strategy, infrastructure, automation, CI/CD integration, and quality governance across multiple agile teams
- Defines and implements end-to-end QA strategy covering simulation, hardware-in-the-loop (HIL), API, integration, and field-level testing, unifying software, hardware, and systems-level quality engineering into a single pipeline
- Drives innovation by researching and piloting cutting-edge testing approaches such as AI-driven testing
- Plays a strategic role in organizational risk management, regulatory readiness, and operational efficiency at the executive level
- Negotiates with regulatory bodies and advocates for quality practices with executives, and mentors and develops the next generation of staff and principal engineers
Level guidelines
The universal leveling rubric applied to this function — how scope, complexity, collaboration, and experience step up across levels.
| Level | Knowledge & Application | Complexity & Problem Solving | Collaboration & Interaction | Typical Degree & Years |
|---|---|---|---|---|
| P2 | Applies foundational GMP, documentation, and quality control/assurance knowledge to configure automation software and execute predefined test scripts on robotic equipment; learning regulatory guidelines and validation basics. | Handles conventional, well-defined testing and configuration tasks; resolves routine anomalies and escalates non-standard equipment behavior to senior staff. | Builds productive working relationships within the QA/automation team; receives detailed instruction and reports test results to senior engineers. | 0–2 years; technician/associate level, or BA/MS in a life-sciences or engineering discipline with limited experience. |
| P3 | Applies working knowledge of robotic automation platforms, test automation tooling, risk-based testing, and FDA/EMA/ICH standards to a diverse range of protocols and regression coverage. | Evaluates identifiable factors to troubleshoot hardware/software and fluid-handling issues and to prioritize test effort by risk; works with moderate independence under milestone review. | Networks with senior professionals and participates in Agile ceremonies; coordinates own testing activities with development and assay teams. | ~2–5 years (BA), 3 yrs (MA), or PhD without experience; QA/automation engineer. |
| P4 | Applies in-depth expertise in test framework design, CI/CD quality gates, GAMP 5 CSV, and IQ/OQ/PQ qualification to complex, integrated robotic systems with functional impact. | Performs in-depth analysis of complex variables across mechanical, electrical, and control-system domains; selects validation methods and conducts risk assessments for systemic quality issues. | Coordinates across manufacturing, R&D, supply chain, and engineering groups; influences architectural decisions and may supervise or lead validation project teams. | ~8 years, often with graduate education; senior engineer. |
| P5 | Applies expert, often unique knowledge spanning HIL/simulation/API testing, regulatory inspection management, and CSV lifecycle integration within the Pharmaceutical Quality System. | Addresses strategic and intangible quality challenges by designing infrastructure and process that prevent whole categories of issues; high independence on broad assignments. | Builds influential networks across QA, production, and engineering; serves as a quality spokesperson during regulatory inspections and mentors engineers. | ~12+ years; extensive expertise in regulated robotics QA and validation. |
| P6 | Applies field-shaping mastery to architect organization-wide QA ecosystems and unify software, hardware, and systems-level quality engineering into a single governed pipeline. | Drives visionary, field-defining problem-solving — piloting AI-driven testing and owning organizational risk management, regulatory readiness, and operational efficiency. | Influences industry and company practice as a recognized thought leader; negotiates directly with regulatory bodies and advises executives; develops staff and principal engineers. | ~15+ years; principal-level expert, often PhD plus industry leadership in life-sciences automation quality. |
Skills
Focus-specific skills the role applies — the relevance layer beyond the occupational base.
- Computer System Validation (CSV)
- Validates computerized systems in a structured, risk-based manner across the system lifecycle from concept through decommissioning, with validation effort commensurate with risk to product quality, patient safety, and data integrity.
- GAMP 5
- Applies the global standard for implementing CSV in a structured, risk-based, lifecycle approach to computerized robotic and automation systems.
- IQ/OQ/PQ qualification
- Reviews or executes installation, operational, and performance qualification and other V-model verification testing to confirm systems meet defined requirements.
- 21 CFR Part 11 / Annex 11 compliance
- Applies FDA and EU GMP regulations mandating requirements for electronic records, electronic signatures, and validation of computerized systems.
- Data integrity (ALCOA+)
- Ensures electronic and recorded data are attributable, legible, contemporaneous, original, accurate and complete throughout testing and validation.
- Test automation
- Designs and maintains automated test frameworks and regression suites integrated with CI/CD pipelines across the robotics stack.
- Scripting and programming
- Uses languages such as Python, C++, or VBA to program test scripts, debug robotic equipment, and build test infrastructure.
- Risk-based testing
- Prioritizes testing effort based on the risk a system poses to product quality, patient safety, and data integrity.
- Robotic workcell scheduling and troubleshooting
- Schedules, operates, trains, and troubleshoots fully integrated robotic lab systems across mechanical, electrical, and control-system domains.
- Assay validation
- Performs validations or transfers of analytical methods on automation platforms in accordance with applicable policies or guidelines.
- Regulatory inspection management
- Leads or participates in regulatory inspections (FDA, EMA, MHRA, WHO) and guides a site through successful inspection.
- Test strategy and quality governance
- Defines end-to-end QA strategy and governance across multiple teams, embedding CSV within the Pharmaceutical Quality System.
Provenance
The evidence base behind this profile — every layer is sourced; quality is scored by an adversarial review panel (1–5; passes at ≥4 on the minimum dimension).
Level — P5 — Expert Professional
Expert in field; key problem solver and project leader, authority in multiple areas
- Scope
- Multiple systems or a technical domain
- Autonomy
- Sets direction within the domain
- Complexity
- Novel, high-ambiguity problems; establishes the approach
- Impact
- Org / multi-team outcomes
- Decision rights
- Authority over a technical domain
- Leadership
- Leads cross-team technical initiatives
- Typical experience
- 8–12 yrs
Adjacent roles
Nearest roles by structural coordinates (level + taxonomy). Distance 0 → 1; each carries its 3-state match band. How coordinates work → · Compare side-by-side →
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O*NET / SOC
- code=19-4099source=jfm-factory.resolve