Computational Biology Leader job in San Diego
|Employer:|| Novartis Pharmaceuticals|
|Category:||Research and Development|
|Job Type:||Full Time|
Key topics: genetics, sequencing, systems biology, networks, machine learning, and target identification.|
The Genomics Institute of the Novartis Research Foundation (GNF) located in San Diego, California is seeking a 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.
We are searching for an individual to lead bioinformatics at GNF. The individual must be fundamentally interested in solving biological problems, must be able to credibly lead high-end computational biologists and to be familiar, and communicate effectively with bench based scientists and their leaders. Strong experience in sequence analysis of RNA expression in focused experiments, single cell sequencing, functional genomics and targeted sequencing (e.g. L1000) are required. Expertise in high dimensional data analysis including network analyses, classification and machine-learning is highly desired. In addition the candidate should have a demonstrated ability to broadly explore all types of biological data and must be able to communicate their ideas and present to groups of all sizes. GNF seeks 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
Candidates must have a PhD in statistics, bioinformatics or related 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. Must be a team player.