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

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