Associate Director/Director, Computational Biology
Associate Director/Director, Computational Biology
The ideal candidate will be an expert in oncology-focused bioinformatics, have direct experience building and managing a computational biology infrastructure, and possess a high level of motivation and collaboration to work with multiple project teams. The individual will collaborate with members of the Discovery Biology, Translational Research, and Platform Biology teams to help discover predictive and PD biomarkers and identify novel synthetic-lethal relationships.
Job Responsibilities:
- Develop the strategy and set priorities for the internal bioinformatics function
- Act as an internal thought leader on data analysis for target discovery and translational efforts
- Build-out and maintain custom, clinical-grade NGS pipelines
- Organize and maintain cloud-based infrastructure for storage and maintenance of NGS data
- Evaluate and implement relevant commercial and open-source pipelines and software packages
- Contribute to the development of new methods and algorithms to identify and characterize alterations in tumor DNA and RNA derived from pre-clinical and clinical cancer specimens
- Identify and manage external vendors, CRO’s, and consultants
- Work with Discovery and Translational scientists in the analysis of preclinical and clinical genomics datasets to make novel discoveries at all phases of the drug discovery process
- Mine publicly available and proprietary oncology-focused genomic databases to make novel insights and generate new hypotheses
- Interpret results and build effective tools to present findings to project teams in clear and concise manner
Job Qualifications:
- PhD in computational biology or bioinformatics with a combined 8+ years of postdoctoral research experience and/or bioinformatics experience in biotech and/or pharma industry
- Extensive experience in building and maintaining clinical-grade NGS pipelines, with specific experience in genomic variant allele annotation, RNA-seq data and pathway analysis
- Experience in cancer research, including a working understanding of computational approaches for cancer genome analysis and predictive biomarker discovery
- Prior experience building and maintaining an AWS-based bioinformatics infrastructure
- Experience in mining and analysis of oncology genomic databases, such as TCGA, cbioportal, Foundation Medicine Insights, etc.
- Expertise in R and Bioconductor, cloud computing, modern scripting languages
- Proficiency in building custom data visualization tools, such as R Shiny
- Detail-oriented and well organized with the ability to organize and maintain detailed records, databases, and pipelines
- Ability to communicate clearly and decisively in an open, timely manner
- A sense of adventure and excitement to help build a successful biotech company and work in a highly dynamic research environment