RESPONSIBILITIES

• Direct, employ and guide a variety of complex, computational sequence analysis (mathematical and computing) tools to model and analyze molecular biological data.
• Design, create, set up and manage large biological computer databases.
• Guide the computational sequence analysis methods for database searches and analysis of resulting data, which may include utilizing existing or developing new algorithms, techniques, and computational statistical methodologies and theories to analyze datasets.
• Work collaboratively with scientific project teams to successfully implement users' needs in database searching and integration, which includes interpretation of similarity of sequence searches, multiple sequence alignments and gene expression patterns, and the quality control of sequence data.
• Maintain the computational infrastructure, as well as control the flow of samples and information for project studies.
• Troubleshoot or modify procedures as required.
• Provide web-based bioinformatics and access to public and proprietary relational databases.
• Independently conduct a variety of standard and complex bioinformatics design and development of software systems.
• May plan and conduct a project to complete a research plan.
• Independently may determine methods and procedures on new assignment and provide guidance to lower level personnel.
• Perform other related duties as required or assigned.

REQUIREMENTS

• BS/BA degree, preferably in bioinformatics, computational biology or computer science or similar, or the equivalent combination of education, training and experience
• Minimum 6 years bioinformatics or related experience, including experience with informatics data analysis from several of the "Omics" disciplines such as NGS, genomics, proteomics, structural biology, and metabolomics
• Must possess extensive background in biostatistics, as well as experience setting up and analyzing large biological databases
• In depth knowledge of and experience with data management and analysis theories and techniques
• Expert in one, and strong knowledge of and experience in multiple high level programming languages, such as C/C++, Python, Java, R, PERL, PHP, Ruby, Visual Basic, csh/sh/tcsh/ksh, HTML, and associated tools
• Ability to effectively prioritize workload and multi-task
• Ability to communicate effectively in verbal and written form, as well as to clearly convey methods and results to provide information to scientific investigators from which researchers can draw conclusions

PREFERENCES

• MS/MA or Ph.D. in Bioinformatics, Biostatistics, Computer Science, Applied Mathematics, Bioengineering, Statistics, Physics, Computational Biology, or relevant field
• Proficient in statistical data analysis of genomic data using R/BioConductor, Prism, SAS, MatLab, etc.
• Experience with NGS pipelines (RNA-Seq and ChIP – Seq) and open source tools (Tophat, STAR, SAMTools)
• Strong interpersonal and communication skills
• Ability to be self-motivated and work independently, with minimal supervision
• A solid knowledge of cancer biology, hands-on experience in large-scale cancer NGS data management and analysis
• Experience with the design, implementation, modification, and enhancement of custom databases
• Knowledge of database technologies such as MySQL, Oracle, or SQL Server with familiarity in source control practices and tools
• Florida & Palm Beach County residents are preferred.

COMPENSATION

HOW TO APPLY

POLICY