Sr. Clinical Data Analyst (Contractor) (Office or Remote)

Arcus Biosciences • Brisbane, CA

365d • Remote

About The Position

The Sr. Clinical Data Analyst will be responsible for creating fit-for-purpose analyses, visual data displays and dashboards from diverse data types to aid in internal data consumption and decision-making. This position will report into the Head of Clinical Data Sciences and will interact regularly with diverse stakeholders across the organization. Demonstrated abilities to prioritize work; to understand internal business, data and decision-making needs; and to communicate and collaborate with key stakeholders both within Biometrics and beyond (research, translational science, clinical science, clinical operations, safety, medical affairs and commercial) are essential. This is a unique opportunity to join a growing Biometrics team investigating a diverse portfolio of immuno-oncology therapeutics. The ideal candidate will come with industry experience working in a regulated environment while also demonstrating know-how, flexibility and scientific curiosity to drive creative approaches to both formal and exploratory work.

Requirements

• 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
• Programming experience in R or Python or similar language is a must as is experience with data display and dashboard tools such as R-Shiny, Spotfire, and Tableau (or similar)
• Familiarity with reproducibility, traceability and containers (Docker) strongly preferred
• Knowledge of clinical CDISC data standards and associated requirements of working in validated environments strongly preferred
• Demonstrated ability to rapidly adapt to changing project and strategic requirements
• Interest in continuing education, particularly in the areas of business knowledge as well as technology trends for producing analyses and visualizations (particularly with an eye towards reproducibility or interactivity)
• Takes a fit-for-purpose mindset to daily work as well as long-term vision

Responsibilities

• Generate validated, reproducible, visualizations and analysis using open-source software packages or tools (e.g., R/R-Shiny, Spotfire) to replicate more formal analyses for the purpose of clinical trial planning and design, internal data review, go/no-go decision-making and external publications or data releases
• Standardize and internalize current Spotfire and other Dashboards to provide semi-automation to full automation where appropriate
• Explore other open-source Data Science languages such as Python in fit-for-use analytical environment
• Develop and implement R programming such as standardized packages, functions, Markdown, Flex-dashboards, R-Shiny, etc in existing analytical pipelines and new pipelines including automation of standards
• Create integrated data analyses pooling data across various clinical trials or with other relevant data sources to meet business needs (e.g., real-world data analyses, tumor or indication-specific translational questions, site monitoring, safety signal detection, go/no-go decision-making), as appropriate
• Develop therapeutic area landscape and benchmark analyses to facilitate discussions on new target selection, clinical development and commercialization strategies
• Build and maintain data pipelines to automate data processing tasks

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Chemical Manufacturing
• Education Level: Bachelor's degree
• Number of Employees: 101-250 employees