Verista, Inc. - 6375 - Data Analytics/AI Validation Engineer / Lead Validation Engineer
Requirements
• 5–8 years of hands-on experience supporting GxP systems, Data Analytics platforms, Artificial Intelligence solutions, or a combination of these domains • Hands-on experience supporting cloud-based, SaaS, COTS, or enterprise data platforms in regulated environments • Strong understanding of CSA principles, CSV, and SDLC processes • Experience authoring and/or reviewing validation documentation • Working knowledge of GxP regulations (e.g., FDA, EMA, ICH), data integrity requirements, and ALCOA+ principles • Familiarity with AI, Machine Learning, advanced analytics, or business intelligence platforms • Ability to work independently in a fast-paced, matrixed environment • Strong communication skills and comfort interacting with Quality, IT, Data, and business stakeholders • Experience Machine Learning, Business Intelligence, Data Lake, Data Warehouse, or Digital Transformation platforms preferred • Experience with technologies such as Power BI, Tableau, Snowflake, Databricks, Azure, AWS, Google Cloud, or similar platforms preferred • Familiarity with electronic quality systems, change management tools, or application lifecycle management platforms preferred • Experience supporting AI governance, model lifecycle management, or emerging AI compliance frameworks preferred • For US geography, the salary range for this position is shown below. The actual salary is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs, market demand, and competitive market practice. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This salary range is subject to change and may be modified in the future.
Responsibilities
• Provide CSA / CSV subject matter expertise across Data Analytics, AI, Machine Learning, and Digital platforms • Support system implementations, enhancements, integrations, upgrades, and data migrations from a compliance perspective • Develop and review validation deliverables including Validation Plans, Risk Assessments, Traceability Matrices, and Validation Summary Reports • Review and approve lifecycle documentation (URS, specifications, test plans, test summaries) in alignment with ALCOA+ and Good Documentation Practices • Assess AI/ML solutions and analytics platforms to determine appropriate risk-based assurance activities • Oversee validation readiness and ensure prerequisites are met prior to formal testing • Support change control, configuration management, and release activities • Partner with Quality, System Owners, Data Owners, and Business Process Owners to ensure ongoing compliance • Provide guidance on CSA-based, risk-driven validation approaches for analytics and AI-enabled solutions • Support supplier assessments, vendor documentation reviews, and leveraging of vendor testing where appropriate
Benefits
• High growth potential and fast-paced organization with a people-focused culture • Competitive pay plus performance-based incentive programs • Company-paid Life, Short-Term, and Long-Term Disability Insurance. • Medical, Dental & Vision insurances • FSA, DCARE, Commuter Benefits • Supplemental Life, Hospital, Critical Illness and Legal Insurance • Health Savings Account • 401(k) Retirement Plan (Employer Matching benefit) • Paid Time Off (Rollover Option) and Holidays • As Needed Sick Time • Tuition Reimbursement • Team Social Activities (We have fun!) • Employee Recognition • Employee Referral Program • Paid Parental Leave and Bereavement • Verista collects and processes personal data in accordance with applicable data protection laws. If you are a California Job Applicant, see the privacy notice for further details. • For more information about our company, please visit us at Verista.com
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