Ph. D. from a recognized institution in a quantitative field such as computational biology, computational genomics/genetics, computer science, statistics, mathematics, or other related discipline.

PhD in a field relevant to bioinformatics including computational biology, immunology, genomics, etc. Strong technical expertise analyzing cellular genomics data including single cell sequencing and spatial ‘omics data types is required.

The Faculty Cluster Initiative (FCI) at the University of Central Florida (UCF) is recruiting for a 9-month tenured professor who will act as the lead for the Genomics and Bioinformatics Cluster ( This position has an anticipated start date of August 8, 2025.

Job Description We are seeking a highly motivated and experienced Research Scientist with extensive experience using next-generation sequencing to join our team as a Genomics Specialist. Qualifications PhD (or with 5+ years experience) in Biochemistry, Bioengineering, Synthetic Biology, Microbiology, or another relevant field.

Working knowledge of NGS methods used in research, with experience using liquid handling and automation being preferable (HTS, Assay Development, or molecular or structural biology backgrounds will also be considered) Experience with workflow optimization in genomics, drug discovery, and structural biology.

We are looking for an investigator who is using or developing bioinformatics and computational approaches to study areas of biomedical sciences that intersect with fundamental processes in biology such as (but not limited to) evolutionary genomics, molecular epidemiology, molecular microbiology and pathogen biology, systems biology, and emerging omics.

A strong CV that includes high-profile publications in the field of computational biology, cancer genomics, and/or single-cell genomics. Extensive expertise in analyzing, interpreting, and visualizing human genomics datasets generated by high-throughput sequencing technologies including short- (Illumina) and long-read- (e.g. PacBio and Oxford Nanopore) whole genome sequencing.

A deep understanding of cancer genomics, human genetics, transcriptomics, or epigenetics, strong problem-solving skills, attention to detail, critical thinking, and expertise in NGS data analysis are essential for this position.

This includes data from genomics, proteomics, metabolomics, and other biological sources. + Hands-on experience in handling, processing, integrating, and analyzing large heterogenous biological data sets related to industrial drug discovery research (e.g., sc/snRNAseq, ATAC-seq, genomics, proteomics, etc.

Good understanding of genomics, molecular biology, and technologies such as qPCR and next-generation sequencing. We are currently searching for a Genomics Specialist, Transcriptomics to provide support to the National Institutes of Health (NIH.

Works on multiomics projects, integrating data from genomics, and potentially transcriptomics, proteomics, and metabolomics to elucidate the mechanisms of diseases. You will directly contribute to deeper analysis of data derived from the HGSC's pioneering work in Mendelian genomics and multiple NIH-funded Precision Medicine initiatives.

This includes but is not limited to responsibility for genomics and gene expression profiling (GEP) biomarker assay technology/ platform selection, evaluation of in-house or vendor choice per assay use requirements, development, optimization, qualification/validation and/or execution of biomarker analysis for BMS translational medicine and clinical programs.

Additional areas of interest could include computational methods for genome assembly, population genetics, functional genomics, or structural variant interpretation in rare disease. The team member will focus on leading research projects related to analyses of long-read sequencing and structural variation in population studies such as the All of Us Research Program and the genome aggregation database (gnomAD), as well as rare disease programs including the NHGRI Mendelian genomics program (GREGoR) and the NICHD Fetal Genomics Consortium.

The CRCA will work under the close direction of the study coordinator and principal investigators to coordinate clinical translational research studies aimed at bringing advances in cancer genomics from the Curtis lab to patients in the clinic.

Ph. D. degree in plant genetics, plant molecular biology, functional genomics, bioinformatics, computational biology or related fields, with a minimum of 8 years of relevant professional experience in the agricultural biotech industry; post-doctoral experience preferred.