The Spencer and Warren labs at the University of Missouri are recruiting a postdoctoral scientist in computational biology. This position is focused on the implementation and execution of algorithms that make use of single-cell sequence data. Between our groups a number of projects involving cutting-edge genomic technologies, including single cell analysis (scRNA-seq, snRNA-seq, scATAC-Seq), ChiP-Seq, Cut&Run-Seq, and the new spatial gene resolution 10X Genomics Visium platform, are being executed and data generated. Accompanying phenotypes for all these currently available data sets present a compelling collection that are available for an aspiring candidate to make new discoveries. Our groups are dynamic and interactive, and requires the candidate to work closely with senior scientists and staff in team-based projects. We are at the forefront of utilizing computational tools to answer questions of developmental biology and disease importance through creative use of big data and animal models to benefit biomedical and clinical research. Combining bioinformatics and experimental approaches to advance precision medicine, we have made important contributions to a number of comparative genomic studies with important implications in the study of the etiology and treatment for diseases. Ongoing projects in our laboratories involve human and veterinary cancer, developmental biology of the uterus and placenta, and understanding of endometrial epithelial organoid and stromal fibroblast biology. This individual will participate in and lead research projects using computational biology approaches to address questions generated by those projects.
PhD degree in a relevant field required. Knowledge and experience in computational biology, bioinformatics, computer sciences, and related fields. Demonstrated ability to work independently and to communicate with laboratory staff and investigators. Ability to generate, analyze, and organize data and reports. Ability to give oral presentations in various settings. Experience with the implementation of relevant software. Ability to assist the preparation of manuscripts and grant applications. Base pay commensurate with NIH post-doctoral guidelines. Successful candidates should understand the Unix environment, and base script writing skills to parse data as required. He or she should be familiar with the commonly used bioinformatics tools in the use of sequence evaluation. The position will require working collaboratively with other informatics personnel.
The University of Missouri offers an excellent salary and benefits package. Please send a letter of interest and CV to firstname.lastname@example.org.