
501 - 1000 employees
Arcus Biosciences is a rapidly growing, clinical-stage, global biopharmaceutical company developing differentiated molecules and combination medicines that may have the potential to help people with cancer live longer.
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501 - 1000 employees
Arcus Biosciences is a rapidly growing, clinical-stage, global biopharmaceutical company developing differentiated molecules and combination medicines that may have the potential to help people with cancer live longer.
• Support of team data review, data reconciliation and edit checks, and programming submission ready SDTM deliverables. • Build and execute programs for internal data reviews, data reconciliation, and edit checks. • Assist in developing/maintaining clinical programming related standards and tools. • Work with data management to review case report forms, database specifications and similar documents. • Develop data transfer specifications and manage the transfer of external data. • Program SDTM datasets and produce related CDISC deliverables such as aCRF, define.xml, reviewer’s guide, etc. • Perform stakeholder management, negotiating timelines and scope of deliverables. • Participate in standards governance and developing biometric department operational processes.
• Bachelor’s or Master’s degree in a data science field, e.g., statistics, mathematics, epidemiology, computer science, bioinformatics, or another field with commensurate levels of experience • Minimum 4+ years of biotechnology or pharmaceutical experience, with (immuno-) oncology experience preferred. • Good programming experience in SAS. • Experience with other software languages (e.g., Unix scripts , AI tools, R functions/packages, etc). • Good knowledge of CDISC data standards (CDASH, SDTM). • Good knowledge of data standards and demonstrated experience in the handling of non-CRF data including proven ability to work with diverse data types, such as biomarker, PK/PD, pharmacovigilance, etc. • Demonstrated ability to rapidly adapt to changing project and strategic requirements. • Takes a fit-for-purpose mindset to daily work as well as long-term vision.
• Remote work options
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