BACKGROUND

RESPONSIBILITIES

• Responsibility for conceptualizing, designing, developing, and integrating complex databases, data analysis, data mining, and computational modeling.
• Developing and integrating data sets from multiple platforms which could include phenotypic and clinical data sets combined with "OMICS" platforms such as; genomics, proteomics and metabolomics
• Partnering with peers to identify opportunities for process improvement, knowledge transfer, and reuse of existing informatics solutions.
• Interacting closely with the Bioinformatics core facility to develop, implement and validate novel algorithms, platforms and pipelines for data analysis and integration.
• Being the primary consultant for staff regarding informatics requirements, data analysis, analysis platforms, data correlative development, and representation
• Mentoring others in techniques of data collection, mining and management
• Applying knowledge of bioinformatics algorithms and analysis platforms to consult on and lead computational biology projects
• Working in a highly skilled, team-oriented environment applying knowledge of cellular, molecular, and computational biology to create novel methods and testable scientific hypotheses
• Understanding and instructing on the strengths and limitations of analysis platforms as they apply to experimental endpoints and will readily be able to set expectations and defend results through direct communication with principal investigators and their staff
• Developing a strong extramural research program resulting in high profile publications and independent funding

REQUIREMENTS

• Completion of a successful Post-doctoral fellowship as evidenced by high profile publications and/or independent funding
• Experience in developing applications geared towards systems biology
• Proven experience in managing informatics projects
• Highly skilled in verbal and written communication across diverse technical, non-technical, and scientific audiences
• Good knowledge of database design, database applications development required
• 5 or more years of experience in data processing, pipeline development and/or programming within a bioinformatics environment required
• Previous experience in computational modeling and machine learning techniques
• Experience with statistics as it relates to highly multidimensional data sets
• Strong programming skills in at least one scripting language such as R, Perl, Python, or Ruby.

• Ph.D. in Informatics, Computational Biology, Genetics, or related discipline required

HOW TO APPLY