Research Informatics Analyst

Arcus Biosciences was founded on the vision of creating new cancer therapeutics through the utilization of unexploited insights in immunology. The company was formed in 2015 by a group of seasoned researchers from the biotechnology and pharmaceutical industries. Arcus Biosciences is now a clinical-stage company, with 4 compounds (2 antibodies and 2 small molecules) being evaluated across multiple different clinical trials. Arcus also has a robust pipeline of preclinical and discovery programs that will continue to fuel the development pipeline. The recently announced multi-year broad collaboration with Gilead Sciences will greatly accelerate our clinical development activities and will create a unique professional opportunity for experienced individuals in all aspects of drug development, including Scientific Computing.

We have an opening for a Research Informatics Analyst with experience in data management and analysis to work independently and collaboratively with members of the Research and Clinical teams.  This position is critical to manage the data and workflows surrounding Arcus’ antibody/small molecule research and ongoing clinical studies and will contribute meaningfully to the development of tomorrow’s medicines from our headquarters at Hayward in the SF Bay Area.

Job duties and responsibilities include:

• Work closely and cross-functionally with members of Discovery Research and Clinical Research Operations to develop and support customized data analysis, capture, curation, management, and reporting workflows that dovetail with the existing architecture
• Assist the Associate Director, Scientific Computing with internal customer support, and infrastructure management
• Collaborate with Sample Management, Quantitative Biology, DMPK, PD, and Biology teams to enhance operational efficiency throughout the Research and Pre-Clinical Development organizations by implementing software solutions
• Work in an independent yet collaborative manner to architect, develop, and support operational workflows with a consistently high standard of interpersonal and technical excellence and a sense of urgency appropriate to the task
• May represent the Scientific Computing function at selected team meetings

Qualifications include:

• Detail-oriented with methodical organization and a roll-up-the-sleeves, hands-on, shoulder-to-shoulder approach for all required tasks
• Ability to work independently and as a team partner capable of understanding and extending the scope of the departmental mission and its operations
• Experience working across functions in drug discovery – several years of exposure to small molecule lead optimization and sample management activities is essential, in addition to a basic competence in drug discovery laboratory workflow capture with software solutions
• Familiarity with the operating concepts of common laboratory instrumentation and robotics
• Strong programming skills and knowledge of statistical tools and data analysis workflows
• An intrinsic aptitude for visualizing complex sets of abstract interrelationships and assessing implications of changes to those relationships is highly desirable
• Clear and unambiguous written and verbal communication is expected
• Previous experience with Pipeline Pilot, SQL Server, VB.Net, and Excel VBA are required
• ​Successful candidates for the role should have a BS/MS in life sciences, bioinformatics, computational biology, or related technology fields
• 2-5 years of work experience in an industry setting, preferably managing scientific data and databases