The Barbieri lab in the Meyer Cancer Center at Weill Cornell Medical College is seeking a highly motivated researcher with a computational biology/bioinformatics background to join our team. We are seeking a dynamic individual who will be responsible, as a member of a team, for leading computational and informatics research projects.
Our research is focused on molecular analysis of prostate cancer using data from human samples and preclinical models. The candidate is expected to execute integrative analyses of clinical and functional genomic data generated in-house and/or available from public repositories, by developing and applying computational pipelines mainly focused on next generation sequencing data and other large-scale datasets. An important activity is the integration of experimental data analyses across preclinical models and human cancer samples.
Applicants should have training in a bioinformatics related field, together with a background in computational biology, molecular biology, microbiology, cancer biology or a related field. Experience with several of the following activities would be desirable: high-throughput next generation sequence analysis, epigenomic analysis (e.g. ATAC-seq and ChIP-seq data), transcriptomic analysis (RNA-seq and microarray), proteomic analysis, phylogenetic analysis, comparative genomics, and CNV analysis.
The successful candidate will understand high-throughput genomic analysis and familiarity with widely used genomic and proteomic databases and methods. Competence with open source bioinformatic tools and statistical tools is highly advantageous, as is experience handling data from Illumina and Affymetrix platforms or other high throughput sequence systems. You will be proficient in working in a Linux computing environment, and automating tasks using scripting languages such as bash, perl, python ruby or workflow languages. The candidate will be integral part of a cross-disciplinary team of WCMC faculty, postdocs, students, and staff. Excellent relational and communication skills are expected. A desire to develop and implement and benchmark new tools and methods is highly advantageous, and experience with cloud base computing is a desired skill.
There will be numerous opportunities for training to complement current skills, and we envision numerous collaborations with other outstanding computational scientists at the Institute for Computational Biomedicine and Englander Institute for Precision Medicine at WCM. Initial salary is commensurate with experience. Applying for independent funding is not required, but is strongly encouraged for the career development of the candidate.