* PhD in bioinformatics, computational biology, cancer genomics or related fields
* 4+ years of relevant industry experience
* Expertise in next-generation sequencing data generation, processing, and analysis, including experience in developing novel statistical methods and machine learning applications
* Experience in analyzing public epigenomic datasets such as TCGA, Epigenomic Roadmap and ENCODE
* Demonstrated experience in developing methods for the analysis of experimental data in genomics and next-generation sequencing, under the context of product development
* Strong knowledge of computational biology algorithms for genomic analysis (including statistical methods) and cancer genomics (alignment, variant calling, general multivariate statistical inference)
* Proficiency in Python (including modern data analysis packages) as well as working on distributed, high-performance computing Linux environments
* Excellent communication and presentation skills, ability work across functional teams and with non-experts
* Ability to make a difference in a fast-paced startup environment
Advantage if you have
* Track record of people management
* Experience in launching NGS based products
* Experience in oncology NGS applications
* Startup experience in a company or newly formed group
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