Sr. Data Delivery Specialist (Public and purchased… at Roche · South…

Summary: Roche is a company dedicated to advancing science and ensuring access to healthcare. They are seeking a Sr. Data Delivery Specialist to support the delivery and operationalization of real-world data and clinical-genomic datasets, ensuring they are accessible and well-documented for research and analytics. Responsibilities: - Support intake, tracking, and fulfillment of real-world data requests, including clinical-genomic and multimodal datasets. Assist in preparing datasets for delivery, ensuring completeness, quality, and documentation - Coordinate with external partners (e.g., Caris, FMI) to support data requests, query submissions, and data returns. Assist in managing communications, timelines, and deliverables - Assist in managing data access workflows, ensuring appropriate approvals, training, and compliance with data usage agreements. Track data usage and maintain documentation - Work with sequencing, imaging, and proteomics datasets, supporting standardized formatting, validation, and integration readiness. Contribute to handling emerging multimodal data types and evolving standards - Perform quality checks, metadata validation, and documentation to ensure datasets are analysis-ready. Support troubleshooting of data delivery issues and escalate when necessary - Contribute to early-stage efforts in AI-enabled data curation and harmonization, supporting improved scalability and efficiency in data delivery workflows - Partner with internal teams (e.g., AIBT, CBM, gRED TM, pRED DTAs) to support data integration and delivery needs across diverse scientific use cases Required Qualifications: - PhD and 0-2 years of experience, Master's degree and 3-5 years of experience or a Bachelor's degree and 4-7 years of experience in Data Science, Bioinformatics, Health Informatics, Biomedical Engineering, Computer Science, or a related field and experience working with real-world data, clinical data, or biomedical datasets - Basic understanding of RWD sources (e.g., EHR, claims, registries, clinical-genomic datasets) - Strong attention to detail and commitment to data quality and reliability - Strong organizational and communication skills, with the ability to support multiple stakeholders - You are someone who has the technical skills for: Programming: Python (Pandas) or SQL; familiarity with Bash is a plus. Data Formats: Experience with structured data (CSV, JSON, Parquet); exposure to scientific formats is a plus. Data Platforms: Exposure to cloud environments (AWS S3, GCS, or Azure). Tools: Familiarity with Jupyter notebooks, data portals, or workflow tools is beneficial Preferred Qualifications: - Exposure to clinical-genomic or multimodal datasets (e.g., Caris, FMI, or similar) - Familiarity with data governance and compliance in healthcare or life sciences - Exposure to AI/ML workflows or data preparation for analytics - Understanding of FAIR data principles and metadata standards - Interest in working with external data partnerships and large-scale data ecosystems Required Skills: Real-world data (RWD), Clinical-genomic datasets, Python, Pandas, SQL, Bash, CSV, JSON, Parquet, AWS S3, Google Cloud Storage (GCS), Azure, Jupyter notebooks, Data governance, AI/ML workflows, FAIR data principles, Metadata standards Benefits: A discretionary annual bonus may be available based on individual and Company performance., This position also qualifies for the benefits detailed at the link provided below.