Senior Staff Scientist

The Shah Lab and Department of Pediatrics are looking to hire an enthusiastic and highly motivated Senior Staff Scientist with a strong cancer genomics background. You will join an interdisciplinary team of computational scientists, molecular biologists, and clinicians working together to uncover the molecular foundations of pediatric cancers and accelerate the translation of genomic discoveries into improved treatment options.

In this role, you will work directly with genomic data from patients under active treatment at MSKCC, contributing to analyses that help characterize each child’s disease in near real time. You will also play a key role in developing and applying new computational approaches to interrogate cancer genomes using state-of-the-art technologies, including single-cell and long-read sequencing.  Your projects will span multiple dimensions of translational cancer genomics—from developing new approaches for disease monitoring in cell-free DNA, to investigating the mechanistic and evolutionary basis of pediatric cancers in patient-derived xenografts.

This position sits at the interface of discovery-based and clinical research. Your work will contribute both to the advancement of methods that redefine how we study cancer genomes and to the translation of those insights into strategies that may ultimately improve outcomes for children with cancer.

What you will do:

  • Work with physician-scientists to analyze sequencing data from pediatric cancer patients to better understand disease progression and treatment options
  • Engage deeply with bulk and single-cell sequencing datasets to explore novel, clinically relevant questions
  • Develop computational methods to analyze data generated by cutting-edge single-cell and long-read technologies
  • Contribute to high impact journal articles and gain recognition through authorship
  • Submit abstracts and travel to conferences to present your work
  • Research new developments in computational biology and apply these methods to new data sets

Who you are:

  • Someone with a deep fascination with molecular and cell biology
  • Intrinsically motivated by a desire to advance science and make a positive societal impact
  • Excited by new data and the opportunity for discovery
  • Detail oriented, able to identify anomalies in data and quickly uncover the source of those anomalies
  • Capable of building strong collaborative relationships and delivering research-centric solutions
  • A good decision-maker, with proven success at making timely decisions that keep the organization moving forward
  • Resilient in recovering from setbacks and skilled at finding detours around obstacles
  • Adept at learning quickly, applying insights from past efforts to new situation

Who we are:

  • We are a team of passionate scientists and software engineers dedicated to scientific advancement with material impact to cancer treatment
  • We thrive in a fast-paced, dynamic environment where innovation and teamwork drive our success
  • We value continuous learning, support one another’s growth, and celebrate diverse perspectives as a source of strength and creativity
  • We are committed to building a culture of mutual respect, curiosity, and shared achievement

Requirements:

  • PhD in Bioinformatics, Computational Biology, or Computer Science with emphasis on applications in molecular biology
  • Adept with data analysis using the latest packages in Python or R
  • Experience with Linux and the command line
  • Familiarity with git and working collaboratively on a codebase
  • Experience working with high throughput sequence data
  • Experience with single cell genomics

Additional Information:

  • Location: Macklowe Building, 323 East 61st Street, New York, NY 10065
  • Schedule: Flexible in-person, average 4 days a week onsite
  • Pay Range: $120,000-$160,000
  • Visa sponsorship is available for eligible candidates for this role.

How to Apply:

If you are interested, please email mcphera1@mskcc.org and include the following:

  • A link to one or two papers that best represent your scientific contributions, along with a brief description of your specific role in each paper.
  • Examples of your code on GitHub that will allow us to assess your computational skills.
  • Your CV attached to the email.