BACKGROUND

RESPONSIBILITIES

• Collaborate with immuno-Oncology (I/O) scientists in preclinical and clinical departments to design profiling experiments and draft data analysis plan
• Communicate results with I/O scientists, refine analysis based on feedback, and plan/prioritize follow-up experiments
• Prepare clear, concise and easy-to-understand presentations and documentations for collaborators, senior management and government agencies
• Analyze proprietary and public profiling data to support I/O targets and biomarker discovery
• Analyze proprietary tox profiling data to support Tox studies
• Analyze proprietary clinical profiling data to support Clinical studies
• Contribute to team effort of developing I/O data analysis strategies and establishing I/O data analysis best practices
• Participate in team effort of organizing and integrating proprietary and public molecular profiling data to enable data sharing and visualization for bench scientists

REQUIREMENTS

• Expertise in immuno-oncology
• Expertise in NGS data analysis to detect gene expression, variants, copy number variation, fusion and alternative splicing
• Strong preference for R power users, especially DeSeq 6+
• Strong preference for experience in Single Cell Sequencing
• Experience with analyzing cancer profiling data in the public domain such as TCGA
• Experience with a variety of molecular profiling platforms such as microarray and NGS, and their data analysis best practices
• Familiarity with TCR repertoire sequence analysis, antigen prediction, modeling (e.g., machine learning) and network building (e.g. gene regulation networks): Keen interest and determination to be at the cutting-edge of algorithms and model building
• Familiarity with bioinformatics tools and software such as R/Matlab, Linux, Perl, Python, Ruby, Java, Ruby on Rails, SQL, web programming

PREFERENCES

TERMS

LOCALE

COMPENSATION

HOW TO APPLY

DEADLINE

POLICY