Associate Director/Director, Bioinformatics

Title:  Associate Director/Director Bioinformatics

Position Summary:   As an Associate Director/Director, Bioinformatics at Boundless Bio, you will play a significant role in helping us transform exciting ecDNA discoveries into the next generation of cancer medicines.  As part of a collaborative team, you will be a lead member of the bioinformatics function instrumental in supporting biology, drug development, chemistry, and diagnostics, projects through hypothesis-driven data analysis, curation and analytical tool development.

Duties and Responsibilities:

• Essential duties and responsibilities include the following.  Other duties may be assigned.
• Integrate with biology and diagnostic teams to ensure relevant analyses are executed and reported in a timely manner.
• Communicate with leadership team and team members on status of ongoing projects and completed analyses.
• Develop interfaces and presentations that clearly report data results to non-computational scientists and non-scientists.
• Apply statistical models to large data sets to test biological hypotheses.
• Data collation and analysis for all Boundless Bio studies (e.g., combining CRISPR data with Mass Spec data, etc). Studying patterns within and across data sets.
• Develop new and/or improved software tool for the identification of ecDNA. 
• Propose or inform new laboratory studies based on results of analyses.
• Act as cross-functional point of contact between Boundless Bio scientific team(s) and external data analysis teams.
• Understanding the pitfalls and challenges of current clinical testing platforms for the assessment of ecDNA or proxy markers (e.g., CNV). 
• Data mining of existing data sets for ecDNA driven tumor types, signatures, or targets.
• Perform all duties in keeping with the Company’s core values, policies and all applicable regulations.

Education/Experience

Minimum Requirements:

• Advanced degree:  Minimum of 5 years related industry experience; or equivalent.
• Highly collaborative with proven experience managing projects across teams/functions.
• Experience with analyzing NGS data generated typical commercial platforms (e.g., Illumina)
• Proficiency at Python, Perl, and R scripting languages.
• Proficiency at Red Hat Linux, Windows, and Mac OS X environments.
• Experience with using statistical models and analytical tools to evaluate biological hypotheses.
• Experience data-mining population/cohort data sets for correlations, signals and signatures.
• Strong written communications skills with meticulous attention to detail
• Effective presentation and interpersonal communication skills. 

Desired:

• Experience working in a regulated (e.g., CLIA and GxP) environment.
• Experience analyzing DNA-Seq, RNA-Seq, ChIP-Seq, and BS-Seq data sets.
• Experience working on a drug development project team.