You Will Work in a Team Environment to:

• Lead the standardization of Universal Diagnostics bioinformatics research framework and internal tools

• Build for significant growth and scaling challenges as we transition from research to product/clinical development

• Oversee engineering of robust and reproducible data pipelines that enable cutting edge liquid biopsy research

• Work and advise on developing cutting-edge signal processing and machine learning approaches for complex analysis of large genomic data sets designed for early cancer detection

• Work at the intersection of signal processing, machine learning research, software engineering, clinical and biological data

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Your Background Includes:

• PhD or M.S. with equivalent experience in a relevant, quantitative field such as computer science, computational biology, statistics, mathematics, bioinformatics, or equivalent

• 5+ years of post-study experience in industry with bioinformatics applications, data science model development, artificial intelligence, statistical analyses, infrastructure, automation, and/or software engineering

• 5+ years of experience managing and mentoring team of 10+ computer scientists, bioinformaticians and/or statisticians

• 3+ years experience in use of Jira, Confluence and Git (or similar), AWS, Nextflow and Docker, in a regulated environment following software development lifecycle practices

• Excellent knowledge of software testing practices (Unit testing, Integration testing)

• Other languages are an advantage (e.g. C, C++, Golang, Rust)

• Hands-on experience with statistical and machine learning concepts in big data analysis

• Robust history of delivering major technical projects or analyses, including experience in a technical leadership role

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Additional:

• Knowledge of the Common Workflow Language (CWL) and any hands-on experience with its various implementation is a plus

• Experience in analyzing one or more of the following biological modalities: genomics, epigenomics, transcriptomics (RNA-seq), Hi-C, ATAC-seq with fundamental understanding of bioinformatics, including molecular or cancer biology are a plus

• Familiarity with regulatory processes in IVD environment is a plus

• Ability to understand and communicate scientific information effectively with colleagues from a variety of disciplines, including biological, bioinformatics, clinical, nonclinical, and quality subject matter experts

• Attention to detail

• Flexibility

• Strong oral and written communication skills in English

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