MSD
Associate Principal Scientist, Biomarker Operations / Inventory and Data Managem
MSD, Rahway, New Jersey, us, 07065
Overview
We are seeking an Associate Principal Scientist to contribute to the Inventory and Data Management team within Biomarker Operations in Translational Medicine. The role designs, builds, and deploys the digital infrastructure that manages biomarker specimen assets, transforming complex biomarker data into a streamlined, accessible ecosystem. By automating workflows, enabling analytics, and stewarding data, you will empower scientists and clinical teams to make faster, data-driven decisions to propel our pipeline forward. Responsibilities
Integrate, clean, and govern disparate data sources such as biorepositories, central labs, and testing labs into a cohesive, governed data environment. Maintain accurate and comprehensive specimen inventory by tracking specimens collected from clinical trials and associated assay metadata. Embed automated quality control checks and validation rules into data pipelines to uphold compliance and data integrity. Support teams with biomarker information through various query and database integration tools. Leverage the Microsoft Power Platform to automate specimen tracking, data QC, and reporting; build and deploy reusable automation solutions across multiple clinical trials. Design and implement robust, 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 to biomarker inventory and metadata. Maintain effective communications and relationships with project teams, vendors, and cross-functional company teams. Note:
This role is available in Rahway, NJ or North Wales, PA based on candidate preference. Qualifications
Education Bachelor’s degree (with 12 years), Master’s degree (with 8 years), or Ph.D. (with 4 years) in bioinformatics, computer science, data science, engineering, data analytics, life sciences, or related field with relevant experience Required Experience and Skills A deep understanding of the clinical trial process: ability to speak protocols, specimens, and clinical data, and translate scientific needs into technical solutions. Proven expertise in modern data stacks (one or more of the following) Microsoft Power Platform:
Experience building complex solutions with Power Automate, Power Apps, and Dataverse; fluency with flows, model-driven apps, and connectors. Data Engineering:
Proficient in SQL for complex queries and data manipulation; practical experience with Python for data processing and automation. Database Architecture:
Expertise in designing normalized relational schemas and enforcing referential integrity. Cloud Data Experience:
Experience designing and managing data solutions in a major cloud environment, preference for Azure, including Azure Data Factory and Gen1/2 dataflows. Advanced Business Intelligence:
Proficiency in Power BI with data modeling, DAX, performance optimization, and user experience focus. Preferred Experience and Skills Experience with LIMS systems and building relational models and queries to support stakeholder decisions. Builder’s mindset to take a problem from concept to automated solution; curiosity and willingness to experiment with cloud automation and BI technologies. Advanced degree in Computer Science, Data Engineering, Bioinformatics, or related field; eagerness to apply to real-world challenges. Hands-on experience wrangling and optimizing large-scale data transformations using platforms like Databricks; comfort in multi-cloud environments (Azure and AWS). Interest in generative AI for data solutions; experience with Copilot Studio and tools to build intelligent agents for querying datasets via natural language. Experience incorporating large language models (LLMs) to enhance data tools; ability to embed LLMs as autonomous agents in backend processes. Fluency in clinical development and navigation of clinical systems; preference for Veeva CTS. Proficiency with Jira and Confluence; solid understanding of SDLC and building robust, compliant solutions in validated (GxP) environments. Experience leveraging Azure developer stacks, including deploying Azure Functions for Python data processing and using Azure Logic Apps for enterprise-grade workflows with advanced monitoring and connectivity. Additional Eligibility notes and compliance information are included to address location, relocation, visa sponsorship, and related policy considerations. Job Details Job Posting End Date: 09/30/2025 Job posting guidance notes: apply by the day before the end date. Hybrid work model for U.S. employees; in-office three days per week with remote Friday, subject to business needs. Salary range: $139,600.00 – $219,700.00 Eligible for annual bonus and long-term incentive, if applicable. Comprehensive benefits package including medical, dental, vision, retirement, holidays, vacation, and sick leave. Application can be submitted via the company careers site or Workday Jobs Hub for current employees. Compliance and Equal Opportunity We are an Equal Employment Opportunity Employer and provide equal opportunities to all employees and applicants regardless of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other legally protected characteristics. We comply with affirmative action requirements for protected veterans and individuals with disabilities. For more information about rights, visit the EEOC Know Your Rights pages. We encourage diverse candidates to apply and strive for an inclusive environment. Qualified applicants in several locations may be considered under local laws.
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We are seeking an Associate Principal Scientist to contribute to the Inventory and Data Management team within Biomarker Operations in Translational Medicine. The role designs, builds, and deploys the digital infrastructure that manages biomarker specimen assets, transforming complex biomarker data into a streamlined, accessible ecosystem. By automating workflows, enabling analytics, and stewarding data, you will empower scientists and clinical teams to make faster, data-driven decisions to propel our pipeline forward. Responsibilities
Integrate, clean, and govern disparate data sources such as biorepositories, central labs, and testing labs into a cohesive, governed data environment. Maintain accurate and comprehensive specimen inventory by tracking specimens collected from clinical trials and associated assay metadata. Embed automated quality control checks and validation rules into data pipelines to uphold compliance and data integrity. Support teams with biomarker information through various query and database integration tools. Leverage the Microsoft Power Platform to automate specimen tracking, data QC, and reporting; build and deploy reusable automation solutions across multiple clinical trials. Design and implement robust, 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 to biomarker inventory and metadata. Maintain effective communications and relationships with project teams, vendors, and cross-functional company teams. Note:
This role is available in Rahway, NJ or North Wales, PA based on candidate preference. Qualifications
Education Bachelor’s degree (with 12 years), Master’s degree (with 8 years), or Ph.D. (with 4 years) in bioinformatics, computer science, data science, engineering, data analytics, life sciences, or related field with relevant experience Required Experience and Skills A deep understanding of the clinical trial process: ability to speak protocols, specimens, and clinical data, and translate scientific needs into technical solutions. Proven expertise in modern data stacks (one or more of the following) Microsoft Power Platform:
Experience building complex solutions with Power Automate, Power Apps, and Dataverse; fluency with flows, model-driven apps, and connectors. Data Engineering:
Proficient in SQL for complex queries and data manipulation; practical experience with Python for data processing and automation. Database Architecture:
Expertise in designing normalized relational schemas and enforcing referential integrity. Cloud Data Experience:
Experience designing and managing data solutions in a major cloud environment, preference for Azure, including Azure Data Factory and Gen1/2 dataflows. Advanced Business Intelligence:
Proficiency in Power BI with data modeling, DAX, performance optimization, and user experience focus. Preferred Experience and Skills Experience with LIMS systems and building relational models and queries to support stakeholder decisions. Builder’s mindset to take a problem from concept to automated solution; curiosity and willingness to experiment with cloud automation and BI technologies. Advanced degree in Computer Science, Data Engineering, Bioinformatics, or related field; eagerness to apply to real-world challenges. Hands-on experience wrangling and optimizing large-scale data transformations using platforms like Databricks; comfort in multi-cloud environments (Azure and AWS). Interest in generative AI for data solutions; experience with Copilot Studio and tools to build intelligent agents for querying datasets via natural language. Experience incorporating large language models (LLMs) to enhance data tools; ability to embed LLMs as autonomous agents in backend processes. Fluency in clinical development and navigation of clinical systems; preference for Veeva CTS. Proficiency with Jira and Confluence; solid understanding of SDLC and building robust, compliant solutions in validated (GxP) environments. Experience leveraging Azure developer stacks, including deploying Azure Functions for Python data processing and using Azure Logic Apps for enterprise-grade workflows with advanced monitoring and connectivity. Additional Eligibility notes and compliance information are included to address location, relocation, visa sponsorship, and related policy considerations. Job Details Job Posting End Date: 09/30/2025 Job posting guidance notes: apply by the day before the end date. Hybrid work model for U.S. employees; in-office three days per week with remote Friday, subject to business needs. Salary range: $139,600.00 – $219,700.00 Eligible for annual bonus and long-term incentive, if applicable. Comprehensive benefits package including medical, dental, vision, retirement, holidays, vacation, and sick leave. Application can be submitted via the company careers site or Workday Jobs Hub for current employees. Compliance and Equal Opportunity We are an Equal Employment Opportunity Employer and provide equal opportunities to all employees and applicants regardless of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other legally protected characteristics. We comply with affirmative action requirements for protected veterans and individuals with disabilities. For more information about rights, visit the EEOC Know Your Rights pages. We encourage diverse candidates to apply and strive for an inclusive environment. Qualified applicants in several locations may be considered under local laws.
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