Open Rank - Bioinformatics at University of South Florida in Tampa, Florida

Job Description:

Dept Number/Name: 0-6119-163 / Pediatrics-Health Informatics Institute

College Division: USF Health-College of Medicine

Salary Plan: Faculty

Job Code/Title: Open Rank

Hiring Salary/Salary Range: Negotiable

Position Number: 00030518

ORGANIZATIONAL SUMMARY:

USF Health's mission is to envision and implement the future of health. It is the partnership of the University of South Florida Morsani College of Medicine, the College of Nursing, the College of Public Health, the Taneja College of Pharmacy, the School of Biomedical Sciences and the School of Physical Therapy and Rehabilitation Sciences; and the USF Physicians Group. USF is a global research university ranked 34th in federal research expenditures for public universities. For information regarding the USF Health, please visit our website at http://health.usf.edu/index.html The Health Informatics Institute (HII) is comprised of a diverse team of 25 faculty and more than 150 staff with expertise in biostatistics, epidemiology, bioinformatics, health informatics, computer science, genetics, nutrition, psychology, pediatrics, public health, clinical trials and health services research. With funding from the National Institutes of Health (NIH), Department of Defense, and other sources, the institute has an annual budget exceeding $50 million and provides the technical means to facilitate interaction and contributions in knowledge among physicians and patients throughout the U.S. and international communities. By strengthening this vital network, the institute aims to improve research on many different types of diseases. For more information about the HII, please visit http://hii.usf.edu. For more information about the TEDDY study, please visit https://teddystudy.org.

POSITION SUMMARY:

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/viral metagenomics, gene expression, proteomics, next generation sequencing (NGS) technologies 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:

• Design and implement analytical strategies for genome-wide association study (GWAS) data and NGS data including WGS, RNA-Seq as well as other `omics data including metabolomics, microbiome/viral metagenomics, gene expression, epigenomics, proteomics, etc. using established pipelines and workflows.
• Perform appropriate quality control (QC) measures for various omics data.
• Implement, maintain, and document data analysis pipelines and workflows.
• Benchmark new tools for high-dimensional data analysis as well as develop and apply novel analysis approaches to existing `omics data.
• Collaborate with other technical teams in specifying requirements for tools to enhance workflow efficiency and robustness.
• Work closely with epidemiologists and statisticians to conceive analytical and computational solutions that address project needs.
• 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.
• Responsible to a Chair or other appropriate administrator of a State university. Responsible for teaching, research, service and related administrative activities. Responsible for academic advising. May represent the university, college/school, or department/unit on university and/or Statewide committees.

POSITION QUALIFICATIONS:

MINIMUM:

• Doctoral degree from an accredited institution or the highest degree appropriate in the field of specialization with a demonstrated record of achievement in teaching, academic research, and service.
• Must meet university criteria for appointment to the rank of Assistant, Associate, or Full Professor.
• For Associate/Full Professor - Normally will have produced creative work, professional writing or research in refereed and other professional journals, and be a recognized authority in the field of specialization.
• The successful candidate is expected to have experience with and thorough understanding of machine learning, cluster analysis, and other bioinformatics pipelines with demonstrated productivity and leadership in his or her field.
• Programming skills in Python, Perl, R (Bioconductor), SAS, Java, MatLab, C, C++, Bash or similar.
• Demonstrated experience in using standard GWAS and NGS analysis software such as plink, vcftools, bcftools, samtools, GATK, Picard, bedtools, bwa, tuxedo suite tools (bowtie, tophat, cufflinks, cuffmerge, cuffcompare, and cuffdiff) etc.
• Experience working with 1000 Genomes, ENCODE, or GTEx data preferred
• Familiarity with different assays, modes of sequencing, and analysis approaches (WGS, WES, mass spectrometry (proteomics/metalomics), epigenetics, metagenomics, and RNA-seq).
• Experience working in a Linux environment to develop reproducible, scalable, and shareable bioinformatics analysis pipelines.
• Familiarity with high-performance computing and grid computing systems.
• Foundational training in statistics or mathematics preferred.
• Team oriented with excellent verbal and written communications skills required.
• Experience in the design, conduct and analyses of large observational and epidemiological studies, multiple data types (genomics, metabolomics proteomics) is desirable.

USF Health

Information for Applicants

This position is subject to a Level 1 criminal background check.

Job Opening Number: 38099

Posting Date: 11/5/2024

Posting End Date: Open Until Filled

How To Apply

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To request an accommodation with the application or interview process, please contact Central Human Resources by telephone: 813-974-2970 or email HR-ADA-Request@usf.edu .

Equal Employment Opportunity

USF is an equal opportunity, equal access academic institution that embraces diversity in the workplace.The University of South Florida does not discriminate on the basis of sex and prohibits sexual harassment. Any person may report sex discrimination, including sexual harassment (whether or not the person reporting is the person alleged to be the victim of conduct that could constitute sex discrimination or sexual harassment), in person, by mail, by telephone, or by electronic mail, using the contact information listed for the Title IX Coordinator. Reports may be made at any time either online or directly to the University's Title IX Coordinator.

USF's Equal Opportunity Affirmative Action Statement .

Federal Rights

Applicants have rights under Federal Employment Laws: Family and Medical Leave Act (FMLA) , Equal Employment Opportunity (EEO) and Employee Polygraph Protection Act (EPPA) .

Work Location

Campus map and location overview:

USF - Health

USF - Tampa Campus

About USF

The University of South Florida is a high-impact global research university dedicated to student success. Over the past 10 years, no other public university in the country has risen faster in U.S. News and World Report's national university rankings than USF. Serving more than 50,000 students on campuses in Tampa, St. Petersburg and Sarasota-Manatee, USF is designated as a Preeminent State Research University by the Florida Board of Governors, placing it in the most elite category among the state's 12 public universities. USF is a member of the American Athletic Conference.

Working at USF

With more than 16,000 employees at USF, the University of South Florida is one of the largest employers in the Tampa Bay region. At USF you will find opportunities to excel in a rich academic environment that fosters the development and advancement of our employees. We believe in creating a talented, engaged and driven workforce through on-going development and career opportunities. We also offer a first class benefit package that includes medical, dental and life insurance plans, retirement plan options, tuition program and generous leave programs and more.

To learn more about working at USF please visit: Work Here. Learn Here. Grow Here .

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