The Infectious Diseases Area at the Novartis Institutes for BioMedical Research in Emeryville, CA, is seeking a Bioinformatics Investigator to support clinical and basic science research towards the discovery and development of new antibacterials and antivirals.
The successful candidate will combine high-level molecular biology and bioinformatics training with the ability to work closely with experimental biologists in a small, embedded bioinformatics team.
The Investigator's primary responsibility will be to support the research efforts of the Bacteriology group, with additional opportunities to support efforts in the Virology group.
The Investigator will bring a basic knowledge of microbial and viral genomics as well as a familiarity with state-of-the-art data specifications and analytical methods across multiple platforms including NGS, proteomic, and metabolomic data.
Additional duties will include developing customized analysis tools and novel analytical methods.
The Investigator will be part of the Infectious Diseases Bioinformatics team, and will closely coordinate the deployment of software tools and analysis pipelines with fellow computational biologists aiding research in the Virology and Bacteriology groups.
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• Ph.D. in computer science/mathematics or biology/bioinformatics, relevant industry experience preferred; or MA/MS with minimum 5 years relevant industry experience.
• Relevant basic science educational background (molecular biology, genetics, microbiology, virology, biophysics, bioinformatics).
• Track record of working closely with experimental biologists and alongside other bioinformaticists in a team setting.
• Excellent spoken and written communication skills.
• Strong statistics background.
• Experience in transcriptomic (e.g. differential expression) and genomic (e.g. phylogenetics) analyses; familiarity with metabolomics (e.g. principal component analysis) and pathway analyses (e.g. clustering).
• Ability to merge diverse data types from multiple sources (internal and publicly available) to enable integrative analyses.
• Knowledge of existing, publicly available software analysis tools, with ability to craft custom analysis tools when needed.
• Experience with NGS data analysis.
• Experience with Linux, shell scripting, R, Python, and SGE or other HPC environments.
Additional desired skills:
• Advanced visualizations of genomic data and analysis results using Spotfire, R, or Python.
• Experience with C/C++ programming.
• Machine learning techniques for more sophisticated analyses.
• Experience with proteomic or metabolomic data analysis.