Clinical Data Manager
Job Description
Need local Candidates only - 94080, South San Francisco, California, United States
About the Role
We are looking for a Data Manager / Data Quality Leader to join our US Medical Affairs Data Management team. In this role, you will work with cross-functional teams to design and deliver high-quality, fit-for-purpose data solutions that support clinical development, exploratory research, and evidence generation.
You will play a key role in ensuring data integrity, driving innovation in data collection, and overseeing vendor deliverables while adhering to FAIR (Findable, Accessible, Interoperable, Reusable) data principles.
Key Responsibilities
- Design and implement data management solutions aligned with FAIR principles
- Act as a subject matter expert in data collection and acquisition (e.g., biomarkers, EMR, sensors)
- Oversee data management vendors (FSPs, CROs) and ensure high-quality deliverables
- Manage study timelines, risks, and deliverables to ensure successful execution
- Perform data quality reviews using visualization tools and statistical monitoring
- Oversee sample management and eManifest processes
- Lead or represent Data Management in study and data quality meetings
- Collaborate with stakeholders across business and biometrics teams
- Support vendor selection and data transfer agreements
- Drive innovation and continuous improvement in data systems and processes
Core Competencies
- Project & stakeholder management
- Vendor oversight and collaboration
- Data quality monitoring & analytics
- Data curation and integration across multiple sources
- Strong communication and influencing skills
- Strategic thinking with an entrepreneurial mindset
Required Qualifications
- Bachelor’s or Master’s in Life Sciences, Data Science, Bioinformatics, or related field
- Experience in clinical data management within a regulated environment
- Knowledge of CDISC standards and ICH-GCP guidelines
- Strong project management and multitasking abilities
- Experience with data analytics/visualization tools
- Excellent communication and collaboration skills
Preferred Qualifications
- Experience leading data management activities for clinical trials or real-world data
- Programming experience (SAS, R, Python, SQL)
- Familiarity with advanced analytics (AI/ML)
- Experience with large datasets (Hadoop, Spark, etc.)
- Experience with visualization tools (e.g., Tableau, Shiny)
- Knowledge of SDTM, MedDRA, WHODrug
- Exposure to EHR, claims data, and digital health platforms
Why Join Us?
- Work on cutting-edge data solutions in healthcare
- Collaborate with global, cross-functional teams
- Contribute to innovative approaches in clinical data and evidence generation
- Opportunity to influence the future of data-driven medicine
Interview process: 1. Phone screening (15–20 minutes). 2. Virtual panel interview
Location: Hybrid 3 days onsite/ 2 days WFH