Sr. Scientist, Biomarker Operations Project Management

Merck & Co.•North Wales, PA

3d•Hybrid

About The Position

The Senior Scientist, Biomarker Operations is responsible for the hands-on execution of outsourced biomarker data generation projects within the clinical portfolio. This role ensures operational excellence, data quality, and compliance throughout the lifecycle of biomarker assay projects. The Senior Scientist collaborates closely with cross-functional teams to deliver high-quality biomarker data for clinical trials and translational research.

Requirements

Bachelor's (with 5 years), Master's or higher (with 3 years) in a scientific or technological field of study and relevant experience
Demonstrated success in outsourced biomarker assay data generation
Strong project management skills, with a track record of delivering high-quality data efficiently and compliantly
Adaptability
Adaptability
Assay Development
Cell-Based Assays
Clinical Research
Clinical Study Management
Clinical Trial Planning
Clinical Trials
Data Analysis
Drug Discovery Process
Ethical Compliance
Ethical Standards
ICH GCP Guidelines
Medical Writing
Multiple Therapeutic Areas
New Technology Integration
Operational Excellence
Operational Performance Management (PM)
Patient Care
Project Management
Protocol Development
Regulatory Submissions
Scientific Publications
Systems Troubleshooting
Therapeutic Knowledge

Nice To Haves

Experience in drug discovery or clinical research
Experience operating in a collaborative, matrixed, and fast-paced environment

Responsibilities

Project Execution: Plan, coordinate, and oversee outsourced biomarker data generation projects (e.g., omics assays) from initiation through data delivery.
Track project deliverables, timelines, and resources
Identify risks, proactively resolve issues, and maintain compliance at every stage of the process.
Technical Support: Apply expertise in biomarker assay technologies to support assay selection, platform evaluation, and troubleshooting.
Stay current with internal and external trends, risks, and opportunities.
Operational Excellence: Implement and maintain streamlined workflows to maximize efficiency and data quality.
Accurately track project information and maintain effective verbal and written communication internally and externally.
Identify and resolve conflicting stakeholder needs.
Contribute to a culture of continuous improvement and operational excellence.
Collaboration: Work closely with other operational/scientific colleagues to support a cohesive and agile unit.