We are seeking an experienced QA Automation Test Lead to drive quality engineering, automation strategy, and risk-based testing across critical digital solutions supporting pharmaceutical early discovery research .

This role will work closely with scientists, product owners, data engineers, business analysts, UX teams, and development teams to ensure the reliability, usability, traceability, and integrity of scientific applications used throughout the drug discovery lifecycle.

The adecuado candidate brings deep expertise in test automation, quality engineering leadership, scientific workflow validation, data-intensive applications, and pharmaceutical research environments .

Key Responsibilities

- Define and own the test automation strategy, framework roadmap, quality gates, test estimation models, and release readiness approach.
- Lead quality planning throughout discovery, design, development, testing, deployment, and production support phases.
- Develop and maintain automation frameworks, reusable libraries, and scalable testing solutions.
- Establish risk-based testing methodologies and quality governance standards.
- Mentor QA engineers and drive best practices in test automation and quality engineering.

Test Design & Execution

- Translate business requirements, scientific workflows, user stories, acceptance criteria, and interface specifications into comprehensive test scenarios and detailed test cases.
- Design, develop, and execute automated tests covering:
- UI Testing
- API Testing
- Integration Testing
- Regression Testing
- Data Validation Testing
- Smoke Testing
- End-to-End Testing




- Perform exploratory and usability testing to validate researcher-centric workflows.
- Ensure comprehensive validation of business-critical scientific applications.

Scientific Workflow Validation

Validate user journeys and workflows related to:

- Experiment and study setup
- Sample and compound management
- Assay workflows
- Results review and analysis
- Scientific calculations
- Data visualization
- Search and reporting
- Collaboration capabilities
- Data export and sharing

Data Quality & Integration Validation

- Verify data completeness, lineage, transformations, calculations, metadata, identifiers, and reconciliation across systems.
- Validate complex integrations between scientific platforms and enterprise applications.
- Conduct source-to-target data verification using SQL and automated validation approaches.
- Ensure traceability and integrity of research data throughout the application landscape.

Defect & Release Management

- Manage defect lifecycle activities including logging, triage, prioritization, retesting, closure, and trend analysis.
- Facilitate defect review meetings, root cause investigations, and quality risk assessments.
- Provide quality dashboards, test execution metrics, and release recommendations.




- Coordinate production smoke testing and post-release validation activities.

CI/CD & Test Automation Integration

- Integrate automated testing into CI/CD pipelines.
- Support release management through automated execution suites.
- Drive continuous testing practices across distributed delivery teams.
- Optimize automation execution, reporting, and deployment readiness.

Early Discovery Research Testing Responsibilities

The successful candidate will validate applications supporting:

- Target Identification & Validation
- Hit Identification
- Hit-to-Lead Research
- Lead Optimization
- Assay Development
- Compound Management
- In Vitro Research
- In Vivo Research
- Translational Science

You will work with solutions used by:

- Medicinal Chemistry
- Computational Chemistry
- Biology Research
- DMPK Teams
- Toxicology Teams
- Bioinformatics Teams
- Screening Operations
- Laboratory Operations
- Sample Management Groups

Required Qualifications

- Advanced English level,
- 10+ years of software testing, quality assurance, and quality engineering experience.
- Significant experience leading enterprise-level QA and test automation initiatives.
- Proven track record supporting complex, business-critical systems and cross-functional delivery teams.
- Experience working directly with senior technical, scientific, product, and business stakeholders.

Test Automation Expertise

Strong hands-on experience with:

- Selenium
- Playwright
- Cypress
- Robot Framework
- Java
- Python
- JavaScript
- TypeScript

📌 QA Automation Test Lead (San Miguel de Tucumán)
🏢 Cognizant Technology Solutions
📍 San Miguel de Tucumán