Clinical Assistant Professor - Pathology

Gainesville, Florida
Apr 17, 2017
Institution Type
Four-Year Institution
Classification Title:

Clinical Assistant  Professor

Job Description:

Clinical Assistant Professor Position in the Division of Molecular & Genomic Pathology of the Department of Pathology, Immunology, and Laboratory Medicine. This appointment involves clinical IT and bioinformatics support of the Division. The applicant is also expected to develop a vigorous, independently funded research program in the area of bioinformatics.

The ideal candidate will have strong knowledge of molecular biology and genomics, genome-wide association analysis and interpretation.

  • Expertise in algorithmic implementation, statistical programming and data manipulation, using e.g. R/Bioconductor, Matlab, Python, and a wide range of contemporary, open-source bioinformatics tools and database structures (e.g. BWA-MEM, FreeBayes, GATK, PLINK, IMPUTE2, BEAGLE, UCSC Genome Browser, MySQL, etc.)
  • Strong programming proficiency in software languages like Shell, Perl, Python, JAVA and unix environments required
  • Team oriented with excellent written and verbal communication skills, with demonstrated ability to self-educate in current bioinformatics techniques and resources
Advertised Salary:

Negotiable to commensurate with education and experience.

Minimum Requirements:

Possession of a Doctoral degree, extensive experience in Bioinformatics, Computational Biology or Computer Science, proficiency in Perl or Python, and at least two years of experience with NGS evaluation and database management. Strong knowledge of molecular biology and genomics, genome-wide association analysis and interpretation. Experience with designing and developing clinical grade bioinformatics NGS data analysis solutions in a CLIA-certified, CAP-accredited clinical laboratory environment.

Preferred Qualifications:
  • Familiarity with publically available data sources (such as dbGaP, TCGA, ENCODE, 1000 Genomes, TARGET, GTEX) and diverse genomic annotations
  •  Experience managing large datasets and computational tasks, experience working in a Linux environment (especially a compute cluster environment)
  • Experience in the field of molecular and population genetics with a strong publication record
  • Experience with the following:
    • Large dataset analysis in R / Python / Perl / Java
    • Analyzing next generation sequencing data (DNA-seq, RNA-seq, etc.)
    • Commonly used database and bioinformatics tools for NGS data analysis (e.g.) bedtools, SAMtools, IGV, ANNOVAR, BWA-MEM, GATK, PLINK, UCSC Genome Browser, TopHat, etc.)
    • Web framework (e.g. Django, Sinatra, Rails or others)
    • SQL or NoSQL databases
    • Experience in designing and implementing SQL (Oracle, MySQL) and noSQL (mongoDB) databases
    • Experience with software deployment in cloud highly desirable
    • Experience with JavaScript, jQuery, RESTful webservices, HTML, and Apache is a plus
Special Instructions to Applicants:

Interested, qualified applicants must apply through Careers at UF, upload a Cover Letter, most recent CV, and a minimum of three letters of recommendation.

Position has been reposted. Previous applicants do not need to reapply.

Final candidate will be required to provide an 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 

The University of Florida is an equal opportunity institution dedicated to building a broadly diverse and inclusive faculty and staff. 

Health Assessment Required: Yes


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