Research Assistant Professor - Pathology

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

Research Assistant  Professor

Job Description:

Research 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 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.

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.

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