The Department of Biomedical Informatics at the University of Arkansas for Medical Sciences has an immediate opening for a postdoctoral research position in bioinformatics. The candidate will work on high-throughput transcriptomics studies and combine RNA-seq and microarray data to find prognostic biomarkers associated with cancer subtype classification and prognosis. The candidate will contribute to multiple projects as necessary, perform data analysis, and participate in methodology and software tool development. Highly motivated candidates with prior relevant experience are encouraged to apply. The position offers an excellent opportunity to conduct research in stimulating environment and to collaborate with bioinformaticians, biologists, and clinicians.
The University of Arkansas for Medical Sciences (UAMS) in Little Rock is the only academic health sciences university in the state of Arkansas. It is the state’s largest public employer, with more than 10,000 employees in 73 of Arkansas’ 75 counties. UAMS, with its intersection of education, research, and clinical programs, brings a unique capacity to lead the health care improvement in Arkansas. The Department of Biomedical Informatics (DBMI) is a vivid environment for research. It hosts multiple NIH/NCI funded projects and provides biomedical informatics insights to the entire UAMS community. Information about the department can be found at http://dbmi.uams.edu.
- PhD in bioinformatics, computer science, statistics, mathematics, biology or a related discipline.
- Strong programming skills in at least one programming language (R, matlab, C/C++, python, perl, or Java).
- Strong background in statistical methods and pattern recognition algorithms.
- Ability to develop novel computational methods, algorithms and data processing pipelines.
- Strong presentation and written/verbal communication skills.
- Experience developing R packages or java applications.
- Experience with high performance computing (HPC) under UNIX/LINUX environment.
- Strong background in machine learning and predictive modeling.
- Some knowledge of stochastic simulations and network analysis.
- Proven record of scientific publication in peer-reviewed journals.
Please submit your CV with the names and contact information of three academic references, to Dr. Yasir Rahmatallah (email@example.com). The position will remain open until filled. Successful candidates will be contacted for interview. The University of Arkansas for Medical Sciences is an Equal Opportunity Employer.