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Bioinformatics Software Engineer IV

Memorial Sloan Kettering Cancer Center

Memorial Sloan Kettering Cancer Center

Software Engineering
New York, NY, USA
Posted on Sunday, June 30, 2024

Bioinformatics Software Engineer IV

Job Locations USA-NY-New York
Posted Date 4 weeks ago(6/5/2024 2:14 PM)
Requisition ID
2024-77890
Category
Bioinformatics/Computational Biology
Pay Range
$131,800.00-$217,500.00

Pay Range

$131,800.00-$217,500.00

Company Overview

The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursue our mission at MSK and around the globe.

Please review important announcements about vaccination requirements and our upcoming EHR implementation by clicking here.

Important Note for MSK Employees:

Your Career Hub profile is submitted to the hiring team as your internal resume. Please be sure your profile is fully complete with your skills, relevant experience and education (if required). Click here to learn more. Please note, this link is only accessible for MSK employees.

Job Description

Exciting Opportunity at MSK: Join our team as a Bioinformatics Software Engineer in the Computational Oncology Service. We're looking for a talented and self-driven Software Engineer to help us develop the next generation of cancer research software.

Role Overview:

  • Develop data processing pipelines that handle large-scale, high-dimensional, and multi-modal data, such as genomic sequences, images, and clinical records.
  • Design, implement, and maintain data platforms for cancer genomics and imaging studies, using state-of-the-art technologies and frameworks.
  • Collaborate with scientists and clinicians to understand data analysis requirements and design data models and workflows that allow researchers to answer novel scientific questions.
  • Ensure scientific rigor and reproducibility by implementing and following the best practices in software development, code versioning, software testing and deployment.

Key Qualifications:

  • Master’s degree in Computer Science or related field with 2+ years’ experience or Bachelors with 4+ years experience.
  • Proficiency in python and familiarity with R.
  • Experience with building and maintaining environments with pip, conda, and docker.
  • Experience developing bioinformatic pipelines.

Core Skills:

  • Outstanding communication and self-awareness.
  • Critical thinking and problem-solving.
  • Adaptability and resilience to changing needs of research.
  • Collaboration and building positive relationships.

Additional Information:

  • Location: MSK’s Computational Oncology Campus, 323 61st Street, in NYC.

Pay Range: $131,800.00-$217,500.00

Helpful Links:

#LI-POST

Closing

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.

Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

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