Post-Doctoral Fellow (Computational Biology) – Srivastava Lab

The Wistar Institute • Philadelphia, PA

1d • Hybrid

About The Position

The Wistar Institute has an opening for a Computational Biology Post-Doctoral Fellow to join the laboratory of Dr. Avi Srivastava. The Srivastava Lab is a hybrid computational-experimental group that develops and applies cutting-edge single-cell genomics technologies to address fundamental questions in RNA biology and cancer. Our work spans the full arc from novel method development, including microfluidics-free single-read RNA sequencing platforms, to biological discovery using multi-omics approaches at single-cell resolution. We are seeking a computational methods developer, someone who builds tools, not only runs pipelines. In this role, you will develop the algorithms and software behind our single-cell long-read platform, including isoform-level quantification methods and multi-omics integration for disease-relevant single-cell data. You should be able to point to software, a method, or an algorithm you built that other people use. Familiarity with sequencing library prep and the molecular biology of the platform is a strong plus, and you will co-design the platform alongside our wet-lab team, but the core of this role is computational methods and software development. A wet-lab scientist looking to transition primarily into computational work is not the target for this position.

Requirements

• 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, PacBio) and their computational workflows.
• At least one first-author peer-reviewed publication.

Nice To Haves

• 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).

Responsibilities

• Develop the algorithms and software behind our single-cell long-read platform, including isoform-level quantification methods and multi-omics integration for disease-relevant single-cell data.
• Co-design the platform alongside our wet-lab team.

Benefits

• Competitive salary
• Excellent benefits package

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree