gcp jobs in San Diego

Lead clinical data management strategy, governance, and operations across a portfolio of clinical development programs in a biopharmaceutical environment. Manage CDM leaders and professionals, oversee data integrity initiatives, regulatory compliance, and vendor relationships while driving process improvements and technology modernization.…See more Requires 10–14+ years of clinical data management experience in pharma/biotech/CRO settings, with deep expertise in EDC platforms (Medidata Rave preferred), clinical data standards (CDASH, SDTM), GCP, ICH guidelines, and proven senior leadership capability.

Director leading a pre-sales security engineering team responsible for technical strategy, solution design, and customer-facing support across EVOTEK's cybersecurity portfolio. The role combines deep technical security expertise with people leadership, requiring mentorship of engineers/architects, oversight of enterprise solution design and proof-of-concept engagements, and alignment of technical capabilities with sales and delivery practices.…See more Responsibilities include RFP response, competitive positioning, vendor management, and technical presentations spanning AI security, network security, cloud security, identity & access management, endpoint/XDR, SIEM/SOAR, zero-trust architecture, and data protection. Must understand the VAR business model and translate complex technical capabilities into business value for enterprise stakeholders.

Data Engineer II will maintain and enhance data infrastructure, pipelines, and models supporting manufacturing analytics and operational reporting at Dexcom. The role involves writing and optimizing SQL queries, supporting ETL/ELT pipeline development in BigQuery using tools like Google Cloud Dataflow, Apache Beam, and dbt, and troubleshooting data quality issues.…See more You will partner with business stakeholders to gather requirements, document data lineage and workflows, and develop foundational GCP cloud engineering skills. The ideal candidate has a technical degree or equivalent experience and enjoys solving practical operational problems while learning modern cloud data practices.

Design, develop, and deploy end-to-end generative AI solutions including GenAI agents, LLMs, and applications to solve complex business challenges. Build data pipelines, design APIs for AI accessibility, and collaborate with cross-functional teams (developers, data scientists, business) to implement enterprise GenAI solutions.…See more Requires 4+ years of full-stack application development (Java, Python, JavaScript) and 3+ years with data structures, algorithms, and data stores. Stay current with AI research and communicate technical concepts to non-technical stakeholders.