Associate Principal Scientist, Biomarker Operations / Inventory and Data Management

MSD

full-time

Posted on: 9/18/2025

Origin: • 🇺🇸 United States

✨ AI Apply

💰 $139,600 - $219,700 per year

JuniorMid-Level

AzureCloudPythonSDLCSparkSQL

About the role

Design, build, and deploy the digital infrastructure that manages biomarker specimen assets
Integrate, clean, and govern disparate data sources (biorepositories, central and testing labs) into a cohesive governed data environment
Maintain accurate and comprehensive specimen inventory and assay metadata from clinical trials
Embed automated quality control checks and validation rules into data pipelines to ensure compliance and integrity
Support teams with reports of biomarker information using various query and database integration tools
Leverage Microsoft Power Platform to eliminate manual processes in specimen tracking, data QC, and reporting; build reusable automation solutions
Design and implement scalable data pipelines using Azure Data Factory and Azure SQL
Create and manage dynamic, interactive dashboards in Power BI and Fabric; develop data models and visualizations for self-service access
Maintain effective communications and relationships with project teams, vendors, and cross-functional company teams
Build and deploy automation and analytics solutions that increase efficiency and accuracy across dozens of clinical trials

Education: Bachelor's (with 12 years), Master's (with 8 years) or Ph.D. (with 4 years) in bioinformatics, computer science, data science, engineering, data analytics, life sciences or related field
Deep understanding of the clinical trial process (protocols, specimens, clinical data)
Proven expertise in Microsoft Power Platform: Power Automate, Power Apps, Dataverse
High proficiency in SQL and practical experience using Python for data processing and automation
Database architecture experience: designing normalized relational schemas and enforcing referential integrity
Cloud data expertise, strong preference for Azure (including Azure Data Factory, Gen1/2 dataflows)
Advanced Power BI skills including robust data models and advanced DAX
Experience with LIMS systems and building relational models (preferred)
Hands-on experience with large-scale data transformations (e.g., Databricks) and multi-cloud familiarity (Azure Blob Storage and Amazon S3) (preferred)
Experience with Copilot Studio, LLMs, and embedding LLMs/autonomous agents into data processes (preferred)
Fluency in clinical development and experience with clinical systems, strong preference for Veeva CTS
Mastery of Jira and Confluence; solid understanding of SDLC and building compliant (GxP) solutions
Experience deploying Azure Functions and using Azure Logic Apps
Travel up to 10%
US and Puerto Rico Residents Only (work authorization requirement)
VISA Sponsorship: No