The Interdisciplinary Center for Biotechnology Research ( ICBR ) invites applications for a full-time faculty position at the level of Associate Scientist. This is a 12-month, non-tenured position with the expectation the successful candidate will generate one half of their 12-month salary from outside funding sources. The ICBR is a well-established, auxiliary research support organization delivering key biomolecular technologies benefitting the UF life sciences research community. As part of an effort to strengthen ICBR’s bioinformatics services, we seek candidates with a distinguished record of accomplishments in bioinformatics, including but not limited to:
• development of innovative tools and applications for computational biology;
• providing bioinformatics support for complex research projects involving multidisciplinary scientific teams;
• a strong publication record in bioinformatics and biomedical informatics.
The successful candidate will have a strong computational and quantitative background, extensive experience in software and database engineering, a broad understanding of key biological concepts enabling an integrated understanding of biological data analysis as it relates to underlying biological processes, experience with the analysis of whole-genome data (next-gen sequencing, large-scale genotyping, whole-genome methylation analysis, etc), combined with excellent oral and written communication skills.
This position carries the following key provision: the University of Florida will pay 50% of your salary per year. External support will be required to pay the remaining 50% of your salary. If you fail to secure the full 50% extramural funding at any time during your UF appointment, it will be necessary to adjust your compensation to reflect only the state-funded portion plus the percentage of secured extramural funding.
• One primary responsibility of this position will be organizing outreach activities promoting a community-wide understanding of ICBR bioinformatics capabilities. While large-scale genomics data acquisition technologies are widely accessible, the ready and convenient availability of bioinformatics specialists trained in genomics data analysis is perceived as a barrier to fully exploiting genomics technology. The successful candidate will develop, organize, promote, and have primary responsibility for activities aimed at bridging this perceived gap. These activities might include seminars, symposia, journal clubs, bioinformatics discussion groups, technology vendor forums, and workshops.
• As noted above, in order to achieve their salary compensation goal, the candidate is expected to expend significant effort developing formal ties with UF faculty requiring extensive, long-term bioinformatics support for their extramurally funded projects. Formal relationships will include designations as co-I, named key personnel, or as other personnel receiving designated, budgeted salary compensation on the basis of percentage of effort. Success in this area will require specific responsibilities and skills, including:
• Contribute appropriate computational methods description, data analysis strategy, and budget calculation supporting proposals for extramural funding agencies such as NIH , NSF , or USDA .
• Provide advanced bioinformatics support for genome-scale research and gene-based investigation.
• Develop data analysis strategies and implement bioinformatics methodologies as required for biological data integration and, interpretation. Apply appropriate computational methods and data mining techniques for investigating genomic and proteomics data, from raw data through biological interpretation and reporting;
• Possess skills and experience necessary to pose and answer important questions in a scientifically rigorous manner using computational and data mining techniques. Important skills include experiment design, statistical methods for gene expression analysis, algorithm development, creating efficient data processing pipelines, end-user training and client interaction.
• Maintain current awareness of new developments in the analysis of data derived from next generation DNA sequencing instruments as it pertains to your central focus on next generation-sequencing data analysis.
• Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a Ph.D. in Molecular Biology with a strong computational background.
• A minimum of 5 years postgraduate experience in the field of bioinformatics including an established track record in next-generation DNA sequencing data analysis. Preference will be given to those candidates with 3-5 years experience providing bioinformatics support services as a member of a genomics/proteomics research team.
• Working knowledge of mapping and assembly for advanced DNA sequencing technologies (e.g. 454, Illumina, PacBio, Ion Torrent) highly desirable. Particularly higher-level interpretation of RNA -Seq, ChIP-Seq, SNP discovery, and whole genome annotation.
• Proficiency in scripting and programming languages (e.g. C++, Java, Perl, Python desirable) .
• Ability to clearly and enthusiastically communicate the outcomes to both scientific and non-scientific personnel, through multiple channels (including presentations at workshops and scientific conferences, and writing of scientific papers).
Experience working in a Linux environment, running a cluster using SGE and BASH shell scripting is strongly preferred.
Health Assessment Required:
Special instructions to applicants:
Apply via GatorJobs and attach a cover letter, CV, and three letters of recommendation/reference.
Final candidate will be required to provide official transcript to the hiring department upon hire. A transcript will not be considered “official” if a designation of “Issued to Student” is visible. Degrees earned from an education institution outside of the United States are required to be evaluated by a professional credentialing service provider approved by National Association of Credential Evaluation Services ( NACES ), which can be found at http://www.naces.org/.
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