Postdoctoral Researcher Position at University of Colorado Anschutz Medical Campus: Develop Computational Methods for Down Syndrome
Join the Department of Pharmacology at the University of Colorado Anschutz Medical Campus as a postdoctoral researcher to develop computational methods for disentangling co-occurring conditions using multi-omics data in Down syndrome. The position is jointly mentored by Dr. Casey Greene and Dr. James Costello and is funded by the NIH, INCLUDE Project. The ideal candidate will have experience in multi-omic data processing, analysis, and application of deep learning methods.
The Department of Pharmacology at the University of Colorado Anschutz Medical Campus is seeking a postdoctoral researcher to work on a project funded by the NIH, INCLUDE Project. The researcher will be jointly mentored by Dr. Casey Greene and Dr. James Costello. The position involves developing computational methods to disentangle co-occurring conditions using multi-omics data in Down syndrome. The ideal candidate will have experience in multi-omic data processing, analysis, and application of deep learning methods. The position is highly collaborative and involves publishing academic research articles and mentoring students.
Key responsibilities include participating in research project design, independently carrying out literature reviews, analysis, and interpretation of results, collaborating with the PIs and other researchers, and maintaining transparent and easy-to-follow documentation of research projects. The minimum qualification is a PhD in genetics, bioinformatics, computational sciences, data science, machine learning, biostatistics, applied mathematics, computer science, or related fields. Preferred qualifications include experience in R, Python, and version control, developing and applying machine learning methods, and scientific communication skills.
Tags: Postdoctoral Researcher, University of Colorado Anschutz Medical Campus, NIH INCLUDE Project, Dr. Casey Greene, Dr. James Costello, Down syndrome, multi-omics data, deep learning methods, data processing, data analysis, research projects, genetics, bioinformatics, computational sciences, data science, machine learning, biostatistics, applied mathematics, computer science