Director - Computational Biology

July 24

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Karius

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Karius is a life sciences company focused on saving lives from infectious diseases.

Life Sciences • Diagnostics • Genomics • Data Science • Bioinformatics

51 - 200

Description

• Develop and lead an innovative team whose mission is to deliver one of the world’s most advanced analytical platforms for analyzing raw microbial data, bridging scientific breakthroughs and significant unmet medical needs. • Spearhead the computational biology and data science team towards achieving critical innovation aligned with Karius' strategic goals. • Lead substantial method development projects, contributing to the development of advanced mathematical constructs, particularly in probabilistic modeling. • Drive the development and publication of methodological innovations that contribute to our core product and support extending the application of the core technology and its application beyond infectious disease diagnostics. • Develop partnerships across teams and departments at Karius, as well as outside of Karius, and across both industry and academia.

Requirements

• Ph.D. in Electrical Engineering, Computer Science, Physics, Statistics, Genetics, or a related field, with a solid track record of publications in reputable venues that demonstrate significant method development capabilities. • 7+ years of industry experience leading the development of cutting-edge computational and analytical methods aimed at deriving critical or novel insights from advanced molecular data, including but not limited to next-generation sequencing data. Significant innovation surrounding the derivation of biological insights and complex mechanisms of the microbiome in particular would be advantageous. • 3+ years of experience in leading a senior team of scientists and computational biologists with a strong academic background, as well as complex multi-disciplinary core teams. • Proficient in probabilistic modeling, machine learning algorithms, and other mathematical tools. • Excellent communication skills, with a proven ability to present complex ideas clearly and effectively to leading scientific communities and, within the industry setting, leadership teams. • Post-doc experience in statistics, computational biology, genetics, or biological field with a strong computational aspect, while not required, would be considered as a significant advantage.