Clinical Data Manager
Job Description
Title: Clinical Data Manager II
Location: South San Francisco, CA 94080
Duration: 12-Month Contract
Hybrid 3 days onsite/ 2 days WFH
The Opportunity
We are seeking a Clinical Data Manager II to client USMA Data Management team. This role sits within a highly collaborative environment focused on end-to-end data lifecycle management, supporting exploratory research, clinical development, and evidence generation.
You will act as a data quality leader, ensuring high-quality, compliant clinical data while driving innovative data solutions aligned with FAIR (Findable, Accessible, Interoperable, Reusable) principles.
Key Responsibilities
Data Management & Quality
- Oversee collection, validation, and curation of clinical and real-world data
- Develop and manage clinical databases ensuring accuracy and integrity
- Perform high-level data reviews using visualization and statistical monitoring tools
- Identify trends, anomalies, and gaps in datasets
Study & Project Oversight
- Manage timelines, risks, and deliverables across multiple studies
- Ensure successful execution of study scope of work (SOW)
- Maintain accountability for data quality and regulatory compliance
Vendor & Stakeholder Management
- Partner with FSPs, CROs, and external vendors to oversee deliverables
- Manage data transfer agreements and ensure adherence to standards
- Collaborate cross-functionally with biometrics, clinical teams, and business stakeholders
Data Strategy & Innovation
- Design and implement fit-for-purpose data solutions
- Support collection of diverse data types (e.g., biomarkers, EMR, sensor data)
- Contribute to enterprise-wide initiatives and emerging technologies
- Apply FAIR principles to optimize data usability and accessibility
Leadership & Technical Expertise
- Provide guidance to data management teams and stakeholders
- Act as SME for data acquisition, standards, and best practices
- Represent Data Management in study team and data quality meetings
Required Qualifications:
- 5–10 years of Clinical Data Management experience
- Bachelor’s or Master’s degree in Life Sciences, Data Science, Bioinformatics, or related field
- Strong knowledge of ICH-GCP and regulatory requirements
- Experience with CDISC standards (SDTM preferred)
- Proven project management and stakeholder management skills
- Strong analytical, problem-solving, and communication abilities
Preferred Qualifications
- Experience leading DM activities across multiple clinical studies
- Familiarity with EDC systems (e.g., Medidata Rave, Oracle Clinical)
- Experience with Real World Data (RWD) and advanced data sources
- Proficiency in tools/languages such as SAS, R, Python, SQL
- Experience with data visualization tools (Tableau, Shiny)
- Knowledge of MedDRA, WHODrug, and advanced analytics (AI/ML)
- Exposure to big data tools (Hadoop, Spark)