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

Opportunities available in our lab

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. Interested applicants should email us a copy of their CV and their scientific interests.

Postdoctoral Fellow

The Barbieri lab and Rickman lab in the Department of Urology, Englander Institute of Precision Medicine, and Meyer Cancer Center at Weill Cornell Medicine are seeking a highly motivated post-doctoral researcher to co-mentor with a background in cancer biology or a related field to join our teams. 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. One of our main goals are to define the role and therapeutic potential of alterations driving the neuroendocrine prostate cancer (NEPC) phenotype. 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 will be working on lineage plasticity and the transition from prostate adenocarcinoma and NEPC. They will be 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.

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. Experience with computational approached for genome-wide data (RNAseq, ChIPseq, ATACseq) analyses is not required but would be a plus. Applying for independent funding is not required, but is strongly encouraged for the career development of the candidate.


Interested applicants should email us a copy of their CV and their scientific interests.

Scroll to Top
Scroll to Top