Bioinformatics Scientist

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Requirements:

• PhD or MSc in Bioinformatics, Computer Science, Engineering, Biochemistry or similar field
• Minimum of 2+ years of relevant work experience. Preferably in high-throughput genome sequencing analysis
• Deep understanding of genomics and DNA sequencing data and its analysis (mapping, variant calling, etc.)
• Proficiency with standard NGS bioinformatics tools (e.g. GATK, BOWTIE, BWA, etc.)
• Understand the basics of molecular biology as it pertains to human disease, primarily in cancer
• Implementation of bioinformatics analyses and application workflows
• Strong algorithm development skills required
• Good Python, bash and scripting fundamentals, including file parsing and data visualization

Responsibilities:

• Analyze next-generation high-throughput DNA sequencing data ranging from single research experiments to very large data sets
• Develop tools and automated analysis pipelines for bioinformatics analyses, diagnostic tests, including variant detection and quality control
• Design new algorithms, methods and tools for DNA sequencing data analysis and propose improvements to the existing research infrastructure
• Produce high quality written documentation including study plans and reports
• Produce correct conclusions based on rigorous mathematical analysis and principles of statistics and probability
• Collaborate effectively with R&D, production, and clinical teams to build efficient workflows
• Be the "go to" person for bioinformatics and related issues
• Ensure internal processes and metrics are aligned to create the highest product quality and competitive advantage
• Develop Python software infrastructure to support algorithm testing and simulation studies
• Produce clear, concise and correct technical documentation including research reports and algorithm specifications