Sr. Computational Biologist I, The Shah Lab
About The Position
The Shah Lab and the 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 childhood malignancies n 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 improve outcomes for children with cancer.
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
Nice To Haves
- Deep curiosity about molecular and cell biology, with a strong drive to advance science and improve lives.
- Motivated by discovery and energized by working with complex, real-world data.
- Meticulous and analytical, with a knack for spotting patterns and resolving data anomalies.
- Collaborative and communicative, able to build strong partnerships across scientific and clinical teams.
- Decisive and resilient, with a proven ability to navigate challenges and keep projects moving forward.
- Quick to learn and apply new methods, drawing from experience to solve emerging research questions.
Responsibilities
- Collaborate 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 groundbreaking 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.
Benefits
- competitive salary
- annual merit increase
- opportunities to attend and present at leading conferences
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Ph.D. or professional degree
Number of Employees
1,001-5,000 employees
