BACKGROUND

RESPONSIBILITIES

• Implementation, application, maintenance, customization of available/known informatics resources and scientific software/data sources in multiple programming languages/platforms for research support. Developing front-ends for other analysis tools, visualization/compilation of results, facilitating generally defined routine data processing/migration/organization/ management tasks, and building project specific workflows implementing automated analysis steps.
• Investigation, customization, prototyping for new bioinformatics resources and scientific software for biomedical data processing. Requires skills in multiple programming languages, databases, computational methods, scientific computing, large scale data analysis, and heterogeneous biomedical data from multiple sources. Using software engineering skills towards creating reusable, modular, tested, version-controlled, shared repository oriented, professional quality informatics/software/database resources.
• Designing, prototyping, evaluating innovative computational algorithms, data analysis, and statistical methods for biomedical data processing, interpretation and knowledge mining of data, computational algorithms, databases, scientific computing, large-scale data analysis. Suggesting/exploring alternative/multiple data processing approaches.
• Following scientific literature/manuscripts, investigating new biomedical data processing methods, trends, technologies, and paradigms relevant to biomedical informatics, providing feedback towards scientific findings and contributing towards manuscripts/grants/research proposals and research planning. -Attending/contributing to/presenting at internal/external scientific meetings/conferences
• Managing multiple bioinformatics collaborations/projects, mentoring junior staff. Strategic planning, organization, management, organization, utilization, optimization of existing and future bioinformatics resources, skills, and needs. Interacting with PIs, researchers and other bioinformaticians towards aligning/guiding the bioinformatics activities to maximize organization's competitive advantage in biomedical research. Interacting with other research divisions, computing infrastructure staff, outside academic/industrial partners.

REQUIREMENTS

• Bachelors/Masters/Doctoral Degree in Bioinformatics/Computer Science/Bioengineering/Computational Biology or related field.
• Individuals with experience in bioinformatics and a doctoral degree in Life Sciences research are also encouraged to apply.

PREFERENCES

• Experience in academic/industrial applied research environment in biomedical data analysis
• Experience in software development in multiple programming languages, such as Perl/C++/C/Python/Java, and derivatives
• Experience in downloading/learning/applying software and database resources for custom analysis and building workflows
• Experience with Linux/UNIX/Mac OS X based systems and developing shell scripts/command-line interface
• Formal training/experience in analyzing genotyping, sequencing, and variant calling, and the use of various biomedical databases
• Experience with scientific computing and data visualization tools, such as MATLAB, R, etc., and understanding of basic statistics
• Excellent communication skills and strong drive to interact with researchers carrying out cutting-edge biomedical research
• Experience in software engineering, such as version control (CVS/SVN), backup, documentation, testing, validation
• Familiarity with large-scale data analysis and utilization of high-performance computing systems, parallel programming
• Ability to understand and implement computational algorithms, statistical analysis methods, custom data analysis software

HOW TO APPLY