Data Scientist
Core
Design, build, and maintain a modern, integrated data platform, cloud infrastructure, and AI-powered applications for a clinical research network.
Role type
Senior Data Platform Engineer (GCP/AI)
Builds
Centralized BigQuery data warehouse, ETL/ELT pipelines, GCP infrastructure, AI-augmented workflows, and internal operational tools.
Domain
Healthcare / Clinical Research / Cloud Infrastructure
Deliverable
infrastructure
Required skills
BigQuery, Python, ETL/ELT pipelines, Google Cloud Platform (GCP), REST API integrations, CI/CD, SQL, Cloud IAM governance
Preferred skills
Vertex AI, Gemini API, Document AI, LLM tooling (Claude), Fivetran, Salesforce integration, Looker, Terraform, Healthcare data privacy
Technologies
BigQuery, Google Cloud Platform, Vertex AI, Gemini API, Document AI, Python, Node.js, React, MuleSoft, Salesforce, Fivetran, Looker, Terraform, Cloud Run, Cloud Functions, Cloud SQL, Pub/Sub
Responsibilities
Maintain and evolve the centralized BigQuery data warehouse; Build and maintain ETL/ELT pipelines connecting clinical, operational, financial, and CRM source systems; Design and maintain GCP infrastructure across Cloud Run, Cloud Functions, Cloud Storage, and IAM; Build and maintain AI-powered pipelines using Vertex AI and LLM-based tooling; Build and maintain integrations across operational systems including CRIO, Salesforce, and financial platforms; Develop automation and lightweight applications to replace manual processes.
Seniority
Senior, hands-on IC