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Jobs: Head of Computational Biology & Biostatistics (PharmaBiomics)

PharmaBiomics is leveraging high-resolution multi-‘omics analytics to identify and leverage key microbiome-driven pathways to solve pharmaceutical discovery and development challenges and address unmet patient need through safer and more efficacious clinical care. To realize its mission, PharmaBiomics seeks a highly motivated
Head of Computational Biology & Biostatistics
to join its leadership team.

The successful candidate will implement PharmaBiomics‘ informatics strategy, closely coordinating internal and external resources to design and integrate multi-‘omics data pipelines, construct data analytics suites incorporating the highest statistical rigor, and leverage data toward translational insights for druggable target and preventive marker discovery. The candidate must be adaptable, innovative, collaborative and thrive in high complexity multi-project environments, with the ability to bring interdisciplinary teams together to maximize value creation.

▪ Provide innovative project leadership, manage implementation of computational solutions that extend the state-of-the-art;
▪ Engage with software engineers to design, develop, and operate computational pipelines for analyzing biomedical data to identify biomarkers and novel therapeutic targets;
▪ Source and direct external service providers and collaborators;
▪ Maintain expert knowledge of computational and statistical tools and datasets in the microbiome and multi-‘omics field;
▪ Keep abreast of emerging innovation in the microbiome data analysis space.

▪ PhD in Bioinformatics, Biostatistics, Computational Biology, or equivalent preparation and experience;
▪ Minimum of 5 years’ relevant experience, including leadership of interdisciplinary teams;
▪ A track record of working with large-scale genomic or metabolomic data;
▪ Solid understanding of the statistical challenges inherent to compositional data and high dimensional data sets;
▪ Deep understanding of methods pertinent to functional interpretation of ‘omics data, e.g. pathway enrichment, functional module detection, causal reasoning;
▪ History of success working within interactive team environments;
▪ Expertise in classification and prediction modelling;
▪ Skilled in the use of scripting languages (e.g. C++, Python, Perl) and/or analytical languages (e.g. R, Matlab).

▪ Setup and management of cloud-based computing solutions;
▪ Experience in visualization of biological data;
▪ Experience with relational databases (e.g. SQL);
▪ Excellent oral and written communication skills;
▪ Clinical product development experience.

If interested in this exciting opportunity, please contact