Computational Biology Leader (Director Level)
The Genomics Institute of the Novartis Research Foundation (GNF) located in San Diego, California is seeking a Director-level computational biology leader. Under the umbrella of the Novartis Institutes for BioMedical Research (NIBR), GNF has the support of and broad collaboration with the entire Novartis research organization, while maintaining the independence to initiate and drive our research programs. This relationship has allowed GNF to develop a unique environment and accompanying technological infrastructure not found in any university or commercial pharmaceutical setting.
Biology is transforming into a numeric discipline and the individual we are searching for will lead GNF via the bioinformatics & genetics department into that numeric future. The individual must be fundamentally interested in solving biological problems, must have strategic and tactical vision and clarity of thought, must be able to credibly lead high-end computational biologists and to be familiar, and communicate effectively with bench based lab and department heads. Strong experience in the application of sequence analysis of RNA expression in focused experiments, single cell sequencing, functional genomics and targeted sequencing (e.g. L1000) are required. Expertise and vision in the analysis and use of high dimensional data analysis including network analyses, classification and machine-learning is highly desired. In addition the candidate should have a demonstrated ability to lead teams through broad exploration all types of biological data and to communicate associated ideas to broad multi-disciplinary audiences. GNF develops treatments for unmet medical need in a broad array of areas including diseases of the liver, lung, skeletal muscle, kidney and heart, regenerative medicine, oncology and neurobiology. The ideal candidate would have matching broad expertise in these areas. *Minimum requirements Candidates must have a PhD in statistics, bioinformatics or related numeric disciplines, >5 years-experience in an industrial or academic setting including group leadership, have a strong published track record in bioinformatics, systems biology, sequence analyses and genetics, combined with being a thought leader with excellent inter-disciplinary communication skills. A demonstrated history of success in analysis of large complex datasets in both standardized and innovative ways is critical to success in this role. Our preferred candidates will be an inquisitive and highly motivated individual with an abiding and deep interest in biological systems and a strategic vision of the numeric future of biology research.