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Join Our Team!

We are actively seeking highly motivated, dynamic, and curious individuals to join our team. We are always interested in talented post-doctoral fellows, computational biologists,graduate students, technicians, and volunteers.

We value diversity, and applicants from gender, racial, ethnic, and other groups underrepresented in science, including those from disadvantaged backgrounds, are highly encouraged to apply.

Interested applicants should email our lab manager at led2013@med.cornell.edu with a copy of their CV and their scientific interests. See below for specific opportunities.


Open Positions

Postdoctoral Fellow – Bioinformatics/Computational Biology

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.

Interested applicants should email our lab manager at led2013@med.cornell.edu with a copy of their CV and their scientific interests.

Postdoctoral Fellow

The Barbieri lab in the Department of Urology and Meyer Cancer Center at Weill Cornell Medicine is seeking a highly motivated post-doctoral researcher with a background in cancer biology or a related field to join our team. We are seeking a dynamic individual who will be responsible, as a member of a team, for designing and executing studies focused on defining the functional impact of novel molecular alterations in prostate cancer.

Our research is focused on definition of distinct molecular classes of prostate cancer using genomic data from human samples, studying the functional impact of novel genetic and epigenetic alterations in preclinical models, and investigating the potential to translate these findings to clinical relevance. Our group is heavily involved in next generation sequencing of human prostate cancers, including large-scale collaborative efforts such as TCGA and SU2C/PCF Dream Team. The candidate will work within an integrated, multidisciplinary team composed of basic scientists, computational biologists, pathologists, medical oncologists, and urologists, with significant resources for bioinformatics support, access to clinical specimens, and studies in human tissues.

The candidate is expected to perform experiments exploring genetic and epigenetic alterations using a variety of preclinical model systems including cell lines, xenografts, genetically engineered mouse models, and patient-derived models. A desire to develop and implement new methodologies is highly advantageous. There will be numerous opportunities for training to complement current skills, and we have numerous ongoing collaborations with other outstanding scientists within the institution and externally.

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.

Applicants should have completed a PhD in cell biology or a related field, together with a strong publication record, and strong previous research experience in signal transduction, transcriptional control, genomics and bioinformatics, or related fields. Experience with several of the following activities would be desirable: characterization of genetically engineered mouse models, work with patient-derived xenografts or organoids, and culture of primary cells. Initial salary is commensurate with experience. Applying for independent funding is not required, but is strongly encouraged for the career development of the candidate.

Interested applicants should email our lab manager at led2013@med.cornell.edu with a copy of their CV and their scientific interests.