BACKGROUND

RESPONSIBILITIES

• Performs data management, data modeling, and software engineering to support bioinformatics analysis
• Serving as knowledge source for bioinformatics applications to multiple cross-department groups in technology and business development
• Working with international team of bioinformatics analysts in building tools and pipelines for standardized and scalable NGS data analysis projects
• Collaborating with lab scientists in experimental design, execution, analysis, and validation for development of proprietary NGS application platforms and product lines
• Leading the team's efforts in communicating with customers and collaborators for developing innovative bioinformatics solutions
• Performs other duties as required

REQUIREMENTS

• MS degree required, PhD degree strongly desired in bioinformatics, computer science, genomics, or relevant field
• At least 2 years of postgraduate training in academic or industry research is required with expertise operating in a high-throughput production environment
• Cross-disciplinary and strong analytic skills, as well as broad experience with bioinformatics methods, databases, software, and computer programming languages are essential
• Highly organized and self-directed individual who is able to work in a dynamic, team-oriented environment

• UNIX/LINUX environment
• Next-generation sequence analysis packages (e.g. Samtools, GATK, QIIME, Tophat, Cufflinks)
• Experience with metagenomics/16s/18s data analysis
• Advanced programming skills (e.g. Python, Perl, Java, C/C++ )
• Database management (e.g., both SQL and modern noSQL systems)
• Statistical packages (e.g., R)
• High performance computing

• Outstanding communication and interpersonal skills
• Detailed expertise and proven track record with bioinformatics concepts, methods, and tools
• Strong organizational and troubleshooting abilities
• Familiarity with genomic technologies
• Proficiency with genomic data, tools, and databases
• Experience with human cancer bioinformatics analysis desired
• Demonstrated attention to detail and analytical skills
• Excellent time management skills, especially involved the simultaneous management of multiple projects
• Experience in software management strongly desired
• Leadership skills and ability to work well in a team environment

COMPENSATION

LOCALE

HOW TO APPLY