Sr Principal Clinical Data Analyst (R, R-Shiny, Spotfire) (Office OR Remote)

Key Skills

Apache Kafka, Ember.js, Python Programming, R Programming, SAS, Spotfire

Job Description

The Sr Principal Clinical Data Analyst will be responsible for creating fit-for-purpose analyses, visual data displays, developing open-source technology, collaborating with other industry experts in developing standards and creating dashboards from diverse data types to aid in internal data consumption and decision-making. The Sr Principal Clinical Data Analyst is an experienced technical role (same level as an Associate Director) that will use fit-for-purpose technology (Spotfire, R/Rshiny, SAS, etc) for the development and execution of Real Time Analytics. This position will report into the Head of Clinical Data Sciences and will interact regularly with cross-functional 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 along with the ability to interact with other industry experts in the development of standards.

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.

Job Duties and 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
• 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
• Contribute to the strategy and implementation of the development of validated R environment, real-time analytical GUIs/Dashboards and over-all best R practices
• Lead industry working groups in the development of standards using open-source languages (R etc)
• Explore other open-source Data Science languages such as Python in fit-for-use analytical environment
• Create, augment, or modify current clinical data displays to accommodate study-specific needs and requests, including means of tracking data quality, completeness and trends
• Serve as a primary point of contact to cross-functional stakeholders and deliver data-driven solutions, including clarifying requirements, prototyping solutions, and delivering production dashboards/analytics
• Supervise and mentor junior team members, as required
• Build and maintain data pipelines to automate data processing tasks
• Administer and maintain user access to data displays
• 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
• Generate strategic business and competitive insights to support business development, investor relations and corporate strategy ad hoc tasks

Qualifications

Education/Experience

• 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 8+ years of biotechnology or pharmaceutical experience, with (immuno-) oncology experience preferred
• Programming experience in R, SAS, or Python (R preferred) or similar language is a must as is experience with data display and dashboard tools such as Spotfire or R-Shiny (or similar)
• Familiarity with reproducibility and traceability strongly preferred
• Knowledge of clinical CDISC data standards and associated requirements of working in validated environments strongly preferred
• Experience serving as a team or project lead, working across business functions and all levels of the organization to translate user requirements into data-driven insights
• Experience in a supervisory role and/or mentoring junior team members

Professional/Personal Requirements

• 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

This role can be based at our Hayward or Brisbane, CA location (preferred) or can be remote based. The anticipated salary range for fully qualified candidates applying for this position is $170,000 - $210,000 USD annually. This salary range is an estimate of what we reasonably expect to pay for this posted position. The actual salary may vary based on various factors including, without limitation, individual education, experience, tenure, skills and abilities, internal equity and alignment with market data. In addition to a competitive market-based salary, Arcus offers the opportunity to participate in stock programs, a performance-based bonus, and a comprehensive benefits package. Additional information about our total rewards program can be found here: https://arcusbio.com/careers.

 EOE

Arcus Biosciences is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. Arcus is committed to the principle of equal employment opportunity for all employees and does not discriminate based on race, religion, color, sex, gender identify, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other legally protected status. EOE/AA/Vets