Join the Lee Lab, Cancer Genome History and Therapeutics at MSK. Our research focuses on uncovering the mutational processes and genomic rearrangements that drive cancer evolution and therapeutic resistance, using high throughput sequencing as a core approach.
We are seeking a highly motivated postdoctoral fellow with strong expertise in computational biology to lead innovative projects at the intersection of cancer biology, single cell genomics, and clinical oncology. This is an opportunity to contribute to impactful, translational research in a collaborative and dynamic environment.
Role Overview:
In this role, You will analyze single-cell whole-genome sequencing data jointly with other multi-omic datasets from i) genetically engineered mouse models, ii) PDX/PDO systems, and iii) clinical tumor samples to define evolutionary trajectories of extrachromosomal circular DNA-mediated oncogene amplification. This position offers a unique opportunity to work in a highly collaborative and translational environment, closely partnering with experimental scientists and clinician investigators. The position is supported by a grant from the Burroughs Wellcome Fund.
What you will do :
Lead computational analyses of high-throughput sequencing datasets, including scWGS and multi-omic datasets
Apply/adapt/develop novel computational approaches to study mutational processes, structural variation, and clonal evolution in cancer
Collaborate on experimental design and interpretation with wet-lab and clinical teams.
Integrate genomic data with rich clinical annotation to uncover biologically and clinically meaningful insights
Drive preparation of high-impact manuscripts and present findings at major conferences
Help shape new research directions at the intersection of cancer genomics and therapy resistance
Who you are :
Deeply motivated to understand how cancer cells evolve, both intrinsically and under therapeutic pressure
Passionate about applying computational approaches to answer fundamental biological and clinically relevant questions
Actively follows and critically engages with both classic and recent studies in the scientific literature.
Experienced in working with large-scale sequencing datasets and developing reproducible, well-documented analytical workflows
Detail-oriented, able to identify systemic biases in data and quickly identify their source
Collaborative, with the ability to communicate effectively across computational, experimental, and clinical disciplines
Who we are:
The Lee Lab is a newly established computational research group within MSK Computational Oncology focused on the mutational mechanisms and rearrangement processes that drive cancer genome evolution. We seek to uncover how and why cancer genomes acquire their complex architectures and how they continue to evolve in patients undergoing treatment. Ultimately, our goal is to identify strategies to intercept this maladaptive evolution and restore physiology. Our most recent story here: https://www.biorxiv.org/content/10.64898/2026.02.12.705658v1
Our work leverages cutting-edge sequencing technologies, including single-cell whole-genome sequencing, long-read sequencing, and multi-omic approaches. Beyond applying state-of-the-art methods, we actively adapt and extend them to address fundamental questions in cancer biology. Many of our projects are in collaboration with experimental investigators.
We are committed to building a collaborative, supportive, and intellectually vibrant lab environment.
Required Skills:
How to Apply:
Please email leej39@mskcc.org and add [POSTDOC] in the subject line. Please include the following information in your email as your letter of interest:
Additional Information: