Computational Biologist I

Exciting Opportunity at MSK: 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

Role Overview:

• 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

Key Qualifications:

• 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; experience in cancer research strongly preferred

• Excellent written and verbal communication skills, including experience presenting scientific findings and contributing to publications

Core Skills:

• 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

Additional Information:

• Location: New York, NY

• Schedule: 37.5 hours a week, onsite

• Reporting to: Principal Investigator

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