The Company Physiome Sciences, Inc., a Princeton based, privately held Technology Company, and is a World leader in the commercial development of software tools, proprietary databases, and web applications for simulating life processes on the computer.Physiome Sciences goal is to become the pre-eminent provider of tools to simulate living cells tissues and organs.The Company's computer models and modeling environment permit researchers to integrate and organize vast amounts of diverse, and sometimes conflicting, experimental data.This biological operating system can be harnessed to model cells, tissues and organs, in a virtual setting, enabling scientists to generate predictive information using their own data.
Title Director of Knowledge Management
Location Princeton, New Jersey
Reporting Relationship The position reports to the Executive Vice President/CSO.
Education Bachelor's degree required. Ph.D. or MS desired.
Responsibilities This key leadership position will be responsible for direct supervision of the technical staff designing, developing, and implementing the Physiome database systems.
Provide technical leadership and staff development.
Identify and evaluate staffing and budget requirements.
Set and implement strategies for building and populating the Physiome database.
Oversee development of integrative bioinformatics solutionsfor accessing gene, protein and physiological data.
Work with managers in Software Design, Biological Modeling, and Research Operations/IT to assemble a comprehensive computer modeling environment for use in drug discovery/development.
Direct the acquisition of biological data sets.
Coordinate development of XML-based standards for representing and exchanging biological models (see
Travel may be required.
Requirements The ideal candidate will have 4-6 years as a manager in a biomedical informatics/database environment. Strong technical expertise in the development of web-accessible biological database systems using Oracle software. Familiarity with data warehousing and XML are desirable. Additionally experience with data mining/visualization techniques, modeling/storage of complex data (e.g. image data), and the integration of secure, large-scale (multi-terabyte) database systems. Must be creative, high energy, and have excellent management, organizational and problem-solving skills that work well in a team environment. Excellent communication skills are essential.
Compensation The compensation will be competitive and commensurate with experience. It will include base, bonus and equity components.
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