Senior Bioinformatics Scientist
The University of South Florida Tampa Campus
Organizational Summary: The Health Informatics Institute (HII) is cof approximately 150 members consisting of biostatisticians and bioinformaticians; epidemiologists; software, data, and systems engineers; solution and data architects; laboratory and clinical research administrators; and administrative staff. Established in 2004 as the Pediatric Epidemiology center, the annual budget of the institute currently exceeds $50 million, primarily in NIH funding. Faculty areas of expertise include biostatistics applied to pre-clinical, clinical, observational, and population health research; biomedical and clinical informatics; and statistical genetics and genomics. Members are engaged in research focused on the prevention of diabetes and other autoimmune diseases, cancer prevention and control, genetic disorders, and an expanding list of rare diseases. The primary mission of the HII is to establish and maintain expertise in biomedical science, statistics, clinical trial and study design and coordination, software and data engineering, big data and high performance computing, and integrative bioinformatics. This expertise is leveraged to act as an integrative force in bringing together clinical and biological data with results from diverse fields, applications, and enterprises. In doing so, we endeavor to support the investigation of disease etiology, prevention, and treatment in a comprehensive and transdisciplinary fashion. Ongoing functions of the HII in support of this mission include the following: (a) to coordinate and conduct clinical trials and health services research, including protocol development, oversight and monitoring of clinical centers, and interaction with sponsors; (b) to design, develop, and maintain applications, complex databases (structured and unstructured), analysis data warehouses, and data governance policies that accommodate the full data lifecycle needs of clinical research; (c) to provide and maintain comprehensive and customized reporting services for clinical operations; (d) to provide scientific guidance to investigators on research study design, statistical methodology, and data management, data analysis, and data interpretation; (e) to collaborate with research laboratories and analytical partners in the design, development, evaluation, implementation, and maintenance of analysis software pipelines; and (f) to offer a suite of data sharing platforms and interfaces.
Position Summary: The Health Informatics Institute (HII) at the University of South Florida is seeking an Associate/Full Professor in Bioinformatics to fill a non-tenure earning position as a Senior Bioinformatics Scientist. The Institute is NIH funded as a data coordinating center for several large clinical networks and actively participates in the design and conduct of epidemiological studies and clinical trials. This position will conduct collaborative research and provide active support for ongoing Institute activities, especially the TEDDY type 1 diabetes study. Opportunities exist for collaborations in other NIH funded and privately funded type 1 diabetes research and disease prevention projects. The Institute works in partnership with experts in metabolomics, microbiome/vial metagenomics, gene expression, proteomics, SNPs, big data, and longitudinal repeated measure analytics. Priority consideration will be given to candidates with experience analyzing these types of high-dimensional data; however other areas of statistical application will be considered.
Responsibilities: Develop, apply, and maintain computational tools to support analysis conducted by colleagues without formal computational training. Evaluate computational solutions, finding and addressing failure modes. Work closely with epidemiologists and statisticians to conceive analytical and computational solutions that address project needs. Analyze large ‘omics datasets and provide analysis in formats accessible to a research community of epidemiologists and statisticians. Follow relevant scientific literature to ensure use of optimal methods and understand emerging practices across the field. Contribute to reports and papers for presentation and publication, and present at scientific conferences as appropriate. Regularly attend and present in team meetings to share results and plan projects and experiments. Opportunities exist for teaching and graduate student mentoring, if desired.
Minimum Qualifications: All candidates must have earned a Ph.D. degree in Biostatistics, Computer Science, Engineering, Physics, Math, Bioinformatics, Biology, or a related discipline, and have demonstrated experience designing computational methods and tools. The successful candidate is expected to have experience with and thorough understanding of statistical analysis and demonstrated productivity and leadership in his or her field. He or she should have demonstrated proficiency with technologies such as Perl, Python, Java, Matlab, R, C, C++, Unix, and/or SAS, and also have some familiarity with gene expression profile (microarray) data analysis. Excellent oral and written communications skills required. Rank commensurate with experience. Associate Professor rank requires a minimum of five years of continuing and productive service as an Assistant Professor at the University, or the equivalent if transferring from another academic institution. Professor rank requires a minimum of five years of continuous productive accomplishment as an Associate Professor at the University, or the equivalent if transferring from another academic institution.
Preferred Qualifications: Experience in the design, conduct and analyses of multi-center clinical trials, observational and epidemiological studies are desirable.
To view complete position summary and application procedures please visit: http://www.usf.edu/about-usf/work-at-usf.aspx and search for Administration posting number 4557.
This position is subject to a criminal background check. Position is open until filled.
USF is an equal opportunity, equal access academic institution that embraces diversity in the workplace.