The Abazeed laboratory at the Cleveland Clinic Foundation has an immediate opening for a highly motivated individual with expertise in genomic and machine learning informatics. These positions are supported by multi-sourced grants.
Fellows will lead the design and implementation of data analysis projects addressing fundamental biological questions about the causes and consequences of inter- and intra-tumoral genetic variation in cancer. These projects involve integrated analysis of high-volume genomic, epigenomic, and gene expression data (next-generation sequencing – WES/WGS, RNA-seq, Bisulfite-seq, etc.). Successful candidates will work independently and take a leading role in data analysis, interpretation, and visualization, and drafting of manuscripts for publication.
Recent PhDs in computer science, bioinformatics, computational biology, and related fields will be considered. A strong background in statistics, and programming experience in a UNIX/Linux environment using programming languages such as Perl are required. Experience in high-throughput analysis of next-generation sequencing data and familiarity with widely-used genomic databases and software are advantageous.
The candidate must have excellent verbal and written communication skills and be capable of working within a team of biologists and programmers. A background in biology is not required, but the ideal candidate will have some familiarity with genetics and genomics. This opportunity could present an outstanding training experience for someone with a solid computer science background who wishes to break into bioinformatics.
To apply, submit your CV, statement of research interests, and names and contact information of three references to: Mohamed E. Abazeed, MD, PhD, Department of Translational Hematology Oncology Research, Cleveland Clinic Foundation, 2111 East 96th St/NE6, 44195; E-mail: firstname.lastname@example.org.