NIBR Scientific Data Czar

Novartis Institutes for BioMedical Research is Novartis' global research organization and is committed to discovering innovative medicines that cure disease and improve human health. By conducting more relevant and predictable drug discovery that can yield new and better medicines for patients, Novartis Institutes for BioMedical Research is redefining drug discovery in the post-genomic era. Over the past four years, Novartis Pharmaceuticals has had the greatest number of new molecular entities approved by the US FDA. With its broad focus on diseases for which there is a need for better medical therapies, and with over 3,000 talented, dedicated research scientists worldwide, Novartis Institutes for BioMedical Research is well-positioned to ensure Novartis maintains its strong pipeline and highly successful track record in new drug discovery. Novartis Institutes has sites in Cambridge, Massachusetts (headquarters); Basel, Switzerland; Horsham, UK; East Hanover, NJ; Vienna, Austria; Tsukuba, Japan and Emeryville, California. Novartis Institutes' Cambridge facilities encompass 950,000 square feet of laboratory and office space. Research in cardiovascular disease, oncology, infectious disease, diabetes, ophthalmology and muscle disease is headquartered in Cambridge. In addition, Cambridge is home to the following platform technologies: Global Discovery Chemistry, Functional Genomics, Developmental & Molecular Pathways, and Models of Disease Center. In order to attract and develop an exceptionally talented and committed staff, Novartis Institutes for BioMedical Research offers an innovative and comprehensive benefits package, including healthcare, insurance, savings, retirement, and work/life benefits. The NIBR Scientific Data Czar is responsible for the overall quality, accessibility, and standardization of NIBRs scientific data to support knowledge-based drug discovery and for the definition & implementation of the technology system necessary to manage and deliver the data. Major Accountabilities Scientific Data: Develop and implement a philosophy and practice of data quality, accessibility, and standardization that enables NIBR to act as one organization with one common, shared collection of data. Improve the quality, accessibility and standardization of NIBRs scientific data. Combine multiple domains of scientific knowledge to support drug discovery and other new opportunities for medicines. Expand chemical activity data content to include genomic, proteomic, structural, pat-ent, literature, commercial, and clinical data, as well as metadata, for the benefit of NIBR scientists. Develop, with NIBR scientists, assay data reporting standards that conform to the new data architecture and an updated application interface for data input Develop, with NIBR scientists, other data reporting standards or mechanisms needed to advance the ability of NIBR to carry out knowledge-based drug discovery Curate and appropriately annotate historical data into the new scientific data envi-ronment. Continually adapt the developed model and NIBR scientific data recording and man-agement practices to include new data definitions, reflect scientific advances, and take advantage of technology improvements.Scientific Data Management Informatics System Implement a strategy and oversee the design, development, and construction of a ma-jor informatics system to support knowledge-based drug discovery Lead a global and multi-functional team of scientists and informatics specialists to create this NIBR-wide informatics platform. Establish a new, integrated chemical and biological data warehouse that contains richer and more holistic content to support hypothesis generation Ensure the data warehouse is fully flexible and accessible either directly or from mul-tiple applications or web services Fully integrate internal and external data sources into the informatics system Develop a meaningful semantic layer containing ontologies, dictionaries and syno-nyms in coordination with NIBR DAs and Platforms to contextualize data in the data warehouse. Work with external partners to either license or develop the new data architecture. Work with IT and informatics professionals to develop flexible and advanced meth-ods of data access for NIBR scientific applications. Develop a NIBR Knowledgebase application interface for visualization and data min-ingQualificationsPhD in computational chem./bio-informatics Experience: "Minimum of 10 years experience in cheminformatics/bioinformatics as it relates to drug discovery."Demonstrated track record of publications in the fields of chem- or bio- informatics and knowledge-based drug discovery and of developing innovative approaches for chem./bio-informatics"In-depth knowledge of chemogenomic warehouses, patent literature databases, data curation, chemical, biological and medicinal ontologies, target and genomic data mining"Experience with IT informatics platforms, including database platforms, data architecture, mining and integration, query languages (e.g. SQL, SPARQL) and application interfaces (APIs)"Experience with running global teams and working in a matrix organization"Excellent strategic, operational and communication skills"Experience with running global projects and reporting to senior management"Holds and can articulate a clear informatics vision related to drug discovery Novartis Institutes for BioMedical Research is an equal opportunity employer committed to embracing and leveraging diverse backgrounds. M/F/D/V Job ID: 35978BR