BACKGROUND

RESPONSIBILITIES

• Develop and apply novel statistical, bioinformatics, and data mining algorithms to identify biological patterns
• Develop and implement methods for assembling, phasing, annotating and characterizing human genomes at an industrial scale
• Carry out association analyses with sophisticated genotypic, microbiomic, metabolomic, proteomic and phenotypic information
• Possibly perform in Bioinformatics Sequencing Production capacity

REQUIREMENTS

• Ph.D in Bioinformatics, Computational Biology, Statistics, Computer Science or closely related fields with a focus on applications of next generation sequencing (NGS)
• Strong programming skills, and the ability to design and prototype computational algorithms in C++, Python, R, Java, or C#
• Comfortable in a Linux environment
• Established track record applying innovative methods to drive project success
• Demonstrate outstanding personal initiative and the ability to work effectively as part of a team
• Collaborate with diverse scientists from computational and experimental backgrounds
• Lead, coach, and mentor scientists in the design and execution of innovative research programs
• Demonstrates excellent verbal and written and communication skills
• Must have excellent familiarity with computational, statistical or mathematical methods
• Prior experience working with large-scale genetics and genomics datasets (Big Data)

PREFERENCES

• 2+ years' experience in a startup organization
• 2+ years post-graduate experience
• Publications demonstrating expertise in one or more of the following: assembly, phasing, structural variant identification, SNP calling, genome annotation, or GWAS
• Relational database experience: Oracle, Microsoft SQL Server, Postgresql, or MySQL
• A second language

TERMS

LOCALE

HOW TO APPLY

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