Sr Scientist, Oncology Bioinformatics

We are seeking a highly talented and motivated Senior Bioinformatics Scientist to take a lead role in statistical analysis of multi-omics and next generation sequencing data to support research projects from target evaluation to biomarker discovery with a focus in immune oncology and cancer biology. The successful candidate will have the chance to work in a fast-paced and highly collaborative environment and impact high-level decision-making on internal pipeline and external collaboration.

The scientist will be responsible for developing and employing rigorous statistical modeling and cutting-edge bioinformatics methods to perform integrative large scale omics dataset analysis to enable research objectives. The successful candidate will be able to formulate scientific questions into coherent analytical efforts and communicate analysis results and scientific findings to project teams and across different research functions.

Essential Functions

• Develop and apply statistical and computational tools to analyze large scale omics and high dimensional data from internal, publicly available, commercial, and real-world datasets to enable novel target identification, target assessment, MoA elucidation, drug combination rationale, and patient stratification
• Design and apply statistical techniques and machine learning algorithms to enable the discovery and evaluation of preclinical predictive and prognostic biomarkers for oncology projects
• Collaborate with cross-functional teams to analyze and interpret complex large datasets and efficiently communicate findings to non-computational scientists and senior leaders

Minimum Knowledge, Experience, and Skills:

• Extensive hands-on experience in analyzing and interpreting RNA-Seq (bulk and single cell), WES, WGS, ATAC-Seq, CITE-Seq, and TCR-Seq data is required. Experience in analyzing spatial transcriptome, ChIP-Seq, MeRIP-seq, NanoString, multiplex qPCR, HT screening data sets is a plus.
• Strong statistics knowledge: probability theory, univariate and multi-variable analysis, unsupervised and supervised analysis, regression analysis, survival analysis, feature selection, and power analysis
• Excellent oral and written communication skills
• Proactive and self-motivated scientist with strong work ethic and scientific rigor

Basic Qualifications

• Bachelor's Degree and 7 years' experience, OR Master's Degree and 5 years' experience

Preferred Qualifications

• PhD in bioinformatics, computational biology, biostatistics, cancer genomics, or related field with 3+ years of relevant work experience. Industry experience required.
• Good understanding of cancer biology, immunology, molecular and cell biology
• Proficiency in R, Python, Perl, Java, or C/C++
• Proficiency in high performance computing and cloud computing environments
• Outstanding track record of publications in peer-reviewed journals
• Able to work on-site at Foster City HQ at least 3 days per week

Salary: $169,320 - $219,120. Eligible for discretionary annual bonus, stock-based long-term incentives, paid time off, and benefits including medical, dental, vision, and life insurance.