Memorial Sloan-Kettering Cancer Center Computational Biologist / Bioinformatics Analyst - Center for Molecular Oncology in New York, New York

Computational Biologist / Bioinformatics Analyst – Center for Molecular Oncology

Job Posting Number: 12289

Research – Other

New York,NY

September 28, 2017

Company Overview:

At Memorial Sloan Kettering (MSK), we’re not only changing the way we treat cancer, but also the way the world thinks about it. By working together and pushing forward with innovation and discovery, we’re driving excellence and improving outcomes.

For the 27th year, MSK has been named a top hospital for cancer by U.S. News & World Report. We are proud to be on Becker’s Healthcare list as one of the 150 Great Places to Work in Healthcare in 2016, as well as Glassdoor’s annual Employees’ Choice Awards 2017. We’re treating cancer, one patient at a time. Join us and make a difference every day.

Job Details:

The mission of the Center for Molecular Oncology (CMO) is to promote precision oncology through genomic analysis to guide the diagnosis and treatment of cancer patients. The CMO brings together clinicians and scientists throughout MSKCC to conduct large-scale translational research involving molecular characterization of patient tumor specimens in order to identify correlations between genomic features and clinical outcomes.

As a Computational Biologist / Bioinformatics Analyst you will:

  • Provide bioinformatics support in the development of next-generation sequencing applications to characterize the full spectrum of 
clinically significant genetic mutations in patient tumors

  • Design, implement and operate computational pipelines for the analysis of next-generation sequencing data

  • Evaluate and test third party software packages; evaluate performance of novel technology platforms and assays

  • Work with experimental and computational biologists, clinical and translational research collaborators, and scientists in the MSKCC Center for Molecular Oncology

  • Present results and progress updates at group meetings and make presentations to scientific and clinical collaborators

  • Attend seminars, lectures, and training courses to learn new computational biology skills to remain up to date with the cancer 
genomics field and learn new programming languages or techniques as necessary

  • Track specimen information, experimental and analysis parameters, performance metrics, and genomic results in databases

You are:

  • An excellent problem-solver with the ability to analyze situations, draw conclusions, make recommendations and convey this information in a timely and proficient manner


  • A person who enjoys working in a team, is self-motivated, can manage multiple tasks simultaneously, and can solve problems independently. 


  • Interested in the analysis of large genomic datasets and the development of new clinical technologies. 


  • A detail-oriented, effective communicator with an ability to build strong relationships. 


You have:

Minimum Qualifications

  • PhD with 0-2 years or Master’s degree with 2-4 years of applied next-generation sequencing bioinformatics experience

  • Strong cross-disciplinary analytic skills, with broad experience in next-generation sequencing data analysis, bioinformatics methods, and database management

  • Experience with the UNIX/Linux environment and cluster computing

  • Advanced skills in Python (preferred), Ruby or Perl

  • Strong organizational and troubleshooting abilities, attention to detail and accuracy, and excellent oral and written English communication skills

Additional Desired Qualifications

  • Computational biology / bioinformatics research experience in cancer genomics

  • Cloud computing experience

  • Experience with R

#LI-SK1

MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision.

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