Staff scientist | GenomeWeb

Staff scientist

Landau lab, Weill Cornell Medical College/NYGC
Job Location
413 East 69th Street
NYC, NY 10021
Negotiable based on skills and experience
Job Description


Position Description

We are looking for a highly motivated, independent but team-oriented lab manager with strong expertise in molecular biology/genomics experimental methods (e.g., ChIP-seq, library construction, viral transduction) and desire to learn and grow in the field of Genome Technology.


Job Duties:

  • Organize and maintain a high functioning genomics laboratory;
  • Devise and direct genetic research projects aimed at understanding the basic principles of cancer evolution using next generation sequencing (genome, exome, etc) and other high throughput methods;
  • Design and execute experiments with cell lines with the CAS9/CRISPR system to develop in vitro and in vivo models of cancer evolution;
  • Carry out procedures associated with DNA sequencing on the Illumina sequencing platform, including DNA library preparation, sample quantification & preparation, and sequencer operation;
  • Work as part of a multidisciplinary team combining clinical study coordinators, bioinformaticians, laboratory scientists, and postdoctoral research fellows to understand the basis of cancer evolution;
  • Contribute to writing of project proposals, manuscripts and grants.

Position Requirements:

  • Strong knowledge in experimental biology and genetics
  • Demonstrated contributions to original research project development ideas and implementation.
  • Good general laboratory and organizational skills, including the ability to work independently and efficiently;
  • Ability to multitask is a must, along with an orientation toward teamwork and cooperation;
  • Strong creative thinking and problem solving skills;
  • Excellent communication skills required. 
How to Apply

Please contact Dr. Landau at

About Our Organization

The Landau lab develops computational and experimental tools to study cancer evolution. Our research is geared towards uncovering basic principles in evolutionary biology, using both patient derived samples and experimental systems for modeling cancer evolution. In addition, we seek to apply this knowledge to designing the next generation of precision medicine tools to overcome cancer evolution, as a central challenge to cancer cure today. 



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