Post-Doctoral Fellow (Computational Biology) - Srivastava Lab

Required qualifications: Ph. D. (or equivalent) in computational biology, genomics, computer science, bioinformatics, or a related quantitative field. Demonstrated ability to build and release computational methods: a tool, package, pipeline, or algorithm that others have adopted, with source code you can show. Strong programming and software-engineering skills in Python and/or R in a Linux/command-line environment. Experience with single-cell and/or long-read sequencing data (Oxford Nanopore, Pac Bio) and their computational workflows. At least one first-author peer-reviewed publication.

Preferred: Hands-on familiarity with molecular biology and sequencing library preparation, enough to co-design wet-lab-facing methods. Experience with isoform-level transcriptomics, alternative splicing, or transcript quantification. High-performance and reproducible software practice (containers, version control, workflow managers).The lab offers mentored training in single-cell and bulk multi-omics analysis, long-read sequencing technologies, novel microfluidics-free single-cell platform development, and cancer and RNA biology applications of single-cell methods. In addition to applying online, interested applicants should e-mail their CV with publication list (published and in preparation), a cover letter detailing their research experience and interest in the lab, and three references to Dr. Avi Srivastava at asrivastava@wistar.org. The Wistar Institute is in the University City area of Philadelphia, in the heart of the University of Pennsylvania campus. Wistar provides resources to its faculty and staff that enable them to conduct cutting-edge, collaborative research and to work in outstanding intellectual environments and state-of-the-art facilities. We offer a competitive salary and an excellent benefits package. For more information about The Wistar Institute, visit www.wistar.org. It is the policy of the Institute to provide equal employment opportunities to all individuals regardless of race, citizenship, ethnicity, color, creed, religion, marital status, national origin, ancestry, sex, age, veteran status, mental or physical disability (including HIV and AIDS), pregnancy, caregiver status, domestic or sexual violence victim status, sexual orientation, gender identity and expression, or on the basis of genetic information, or any other characteristic protected by federal, state, or local law, with respect to all terms and conditions of employment.