2 дня назад
AI Principal Engineer - Clinical Data Analytics
172 000 - 245 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
AI Principal Engineer - Clinical Data Analytics (AI/Clinical Data): Building and scaling governed data platforms, production AI/ML solutions, and Generative AI capabilities for clinical data analytics with an accent on data architecture, MLOps/LLMOps, and regulated-environment governance. Focus on designing lakehouse architectures and pipelines, deploying and monitoring models, managing prompt and model lifecycles, and ensuring reliability, security, explainability, and GxP compliance.
Location: Alameda, California, United States. The role includes approximately 30% global travel.
Base salary: $172,000–$245,000 annually, depending on geographic market, qualifications, experience, and internal equity.
Company
is a pharmaceutical company developing and applying clinical data, analytics, and AI capabilities in a regulated enterprise environment.
What you will do
- Build, deploy, evaluate, monitor, and manage the lifecycle of production AI/ML and Generative AI solutions.
- Lead MLOps and LLMOps practices, including model deployment, prompt and version management, monitoring, and governance.
- Design and evolve cloud-native data architectures, data warehouses, data lakes, data pipelines, reusable data models, semantic layers, and APIs.
- Partner with DSS and business leaders to identify, prioritize, and deliver outcome-driven analytics and AI use cases.
- Establish harmonized metrics, KPIs, insight frameworks, and governed data products for data-driven decision-making.
- Collaborate with Legal, Compliance, Security, infrastructure, and IT teams to deliver reliable, secure, explainable, and compliant AI platforms.
Requirements
- Bachelor’s degree with at least 11 years of related experience, or a master’s degree with at least 9 years of related experience, or an equivalent combination.
- Advanced experience with Databricks, Unity Catalog, Delta Lake, lakehouse governance, Python, SQL, data modeling, data integration, DevOps, and data governance.
- Advanced expertise in AWS cloud infrastructure, including EC2, Lambda, Glue, and Redshift, as well as BI platforms such as Spotfire, Tableau, and Power BI.
- Experience leading data acquisition, analytics, and AI capabilities across multiple clinical domains and working with classified sensitive data.
- Knowledge of metadata management, data lineage, enterprise data governance, cataloging tools, CI/CD, version control, and warehouse architecture.
- Advanced knowledge of pharmaceutical or CRO industry practices and clinical data strategy and insights, including experience in a GxP-governed enterprise.
Culture & Benefits
- Collaborative office environment designed to support close teamwork, idea sharing, and creativity.
- Company-provided equipment, including dual monitors and ergonomic chairs.
- 401(k) plan with company contributions, medical, dental, and vision coverage, life and disability insurance, and flexible spending accounts.
- Discretionary annual bonus program, stock purchase opportunities, and long-term incentives.
- Fifteen accrued vacation days in the first year, 17 paid holidays including a company-wide winter shutdown, and up to 10 sick days annually.
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