Computational Biologist I, Translational Research Network, Schultz Lab

Memorial Sloan Kettering Cancer Center•New York, NY

1d•$83,800 - $134,000•Onsite

About The Position

The Translational Research Network in the Schultz Lab is seeking a Computational Biologist to join our dynamic team. This role offers the opportunity to contribute to cutting-edge cancer genomics research by developing and applying computational approaches to uncover clinically meaningful insights from complex sequencing data.

Requirements

Bachelor’s or Master’s degree in Computational Biology, Bioinformatics, Computer Science, or a related field with a focus on molecular biology applications, or equivalent practical experience
Experience working with high-throughput sequencing data
Proficiency in R and/or Python, along with shell scripting skills
Background in statistical genetics/genomics and familiarity with NGS analysis tools
Excellent written and verbal communication skills, including experience presenting scientific findings and contributing to publications

Nice To Haves

Experience in cancer research strongly preferred
Strong interest in molecular and cell biology
Curiosity and enthusiasm for exploring new and complex datasets
Exceptional attention to detail with the ability to identify data anomalies and troubleshoot effectively
Collaborative mindset with a focus on delivering research-driven solutions
Resilience and adaptability when navigating research challenges
Quick learner with the ability to apply past insights to new problems

Responsibilities

Develop, implement, and maintain computational tools and database systems for analyzing next-generation sequencing (NGS) data (targeted panels, whole-exome, whole-genome, and other omics datasets)
Perform data quality control and comprehensive analysis of complex sequencing datasets
Identify and investigate novel, clinically relevant research questions in cancer genomics
Collaborate closely with a multidisciplinary team of scientists, clinicians, and researchers
Contribute to scientific manuscripts and publications in peer-reviewed journals
Present findings to internal and external stakeholders, including at scientific meetings
Maintain clear, well-documented code, pipelines, and workflows
Participate in lab meetings and stay current with emerging literature in bioinformatics and cancer biology