Postdoc Positions

We are looking for applicants with a PhD in fields such as statistics, computer science, bioinformatics and computational biology (or similar) with a strong interest in biological/biomedical questions. If you are interested and/or have further questions, send an email with [postdoc] in the subject line to Currently, specific openings are:

Single Cell Sequencing

For this project are looking for a highly motivated computational biologist for data analysis and/or methods development in the area of single cell RNA sequencing. The position is part of a close and interactive collaboration with the Kühn Lab.
Single-cell sequencing approaches have the potential to transform biological knowledge. We use and develop computational and statistical approaches to understand gene regulation during cardiac development, disease, and regeneration at the single cell level. This specific project focuses on transcriptome profiling of single cells from the heart. The successful candidate will work on data processing, data analysis, and methods development for single cell RNA-seq. Applicants should have a PhD in fields such as statistics, computer science, bioinformatics, computational biology (or similar) and a strong interest in biological and biomedical questions. Proficiency in R, a scripting language and familiarity with the Linux operating system are a definite plus.
This position is funded by the Fund for Genomic Discovery from the Children’s Hospital of Pittsburgh Foundation and involves analysis of single-cell data generated within the NIH Single Cell Analysis Program together with sequences generated by the Rangos Genomics Facility of the Children’s Hospital of Pittsburgh.
Environment: The University of Pittsburgh is ranked among the top ten NIH funded research institutions in the United States. The Kostka Lab (Departments of Developmental Biology, and Computational & Systems Biology of the University of Pittsburgh School of Medicine) is housed in new space at the Rangos Research Center of the Children's Hospital of Pittsburgh. Pittsburgh is a culturally vibrant city in western Pennsylvania and considered to be one of the most livable cities in the US (according to Wikipedia).
Applications including cover letter, CV and the contact information for three references should be sent to with [postdoc: SCrna-seq] in the subject line.

Computational Epigenomics

Two postdoctoral positions in Computational Epigenetics are available in the labs of Tony Capra at Vanderbilt University in Nashville, TN and Dennis Kostka at the University of Pittsburgh in Pittsburgh, PA. The positions could be based at either location.
The successful candidates will lead several projects focused on the modeling and interpretation of how epigenomic changes contribute to the gene regulatory programs that drive cellular differentiation. One goal is the development and implementation of statistical methods for modeling the dynamics of epigenetic modifications, gene expression, and transcription factor binding across differentiation and disease. Another focus is the application of these new methods to genome-wide epigenetic data sets generated by our experimental collaborators, which include blood cell differentiation, pancreatic cancer, heart differentiation, and maintenance of pluripotency. There is also substantial room for the initiation of new projects.
A record of successful publications and a PhD in bioinformatics, computer science, statistics, or a similar discipline is required. Programming and analytical skills are essential for this position. Experience in epigenetics, statistics, and bioinformatics is preferred, but not strictly necessary.
Interested applicants should send a CV and a cover letter outlining qualifications and research interests to both Dennis Kostka and Tony Capra with the phrase "postdoc application" in the subject line. Please provide contact information for three references.
The general focus of the Capra Lab is comparative and evolutionary genomics. We have active projects investigating gene regulatory changes in recent human evolution, modeling effects of genetic variation on protein structures, and evaluating the effects of admixture with archaic groups on modern humans. For more information about the group and our work, visit the Capra Lab Website.
The Kostka Lab focuses on the design and application of statistical methods and algorithms in the area of functional and comparative genomics. Current projects include investigating the role of enhancer sequences in vertebrate left-right patterning, transcriptional characterization of single cells of the heart, and modeling of epigenomic changes during development and differentiation. More information is available here.