Bioinfo Software Engineer II

Job Posting Number: 23753

Allied Health – Biomedical Engineering
New York, NY
June 29, 2018
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 28th 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 2018, as well as one of Glassdoor’s Employees’ Choice Best Place to Work for 2018. We’re treating cancer, one patient at a time. Join us and make a difference every day.

Job Details:

Are you a talented, highly skilled engineer with experience developing robust, enterprise level contemporary software systems?

Passionate about contributing meaningfully to contemporary progress in cancer research driven by advances in computing and data?

Then join us here at MSK, where we can provide you with the opportunity to make a difference with your career. We believe that this is an exciting role for someone who has the right background to be apart of our dynamic team and who wants to apply their skills to support our mission here.

We are seeking Bioinformatics Software Engineers to join the Computational Oncology Service in the Department of Epidemiology and Biostatistics at MSK.

Working on our team, you will develop software to support leading edge, large scale research efforts in computational oncology including genomics, imaging and clinical data analysis and interpretation.

We are recruiting developers in three key areas:

  • data analysis workflows in high performance computing systems (including cloud)
  • database engineering
  • data visualization

Additionally, you will employ software development best practices in a small team-based setting, contributing to software design, implementation, testing, and documentation.

You will:

  • Work and collaborate with an elite team of researchers, software engineers and medical doctors to build a platform for streamlining and automating genomic data analysis
  • Implement and follow methodologies in software development, code versioning, software testing and deployment and assists in unit/functional regression, and system testing
  • Take part in technical discussion including but not limited to code reviews, and build/release management
  • Process and analyze data from high-throughput next-generation sequencing
  • Provide consultation and mentorship to research scientists, as well as other bioinformatics and software engineers, at the Center

You Are:

  • Capable of building strong customer relationships and delivering customer-centric solutions
  • A good decision-maker, with proven success at making timely decisions that keep the organization moving forward
  • Able to work effectively in an environment notable for complex, sometimes contradictory information
  • Consistently achieving results, even under tough circumstances
  • Resilient in recovering from setbacks and skilled at finding detours around obstacles
  • Able to operate effectively, even when things are not clear or the way forward is not obvious
  • Adept at learning quickly, applying insights from past efforts to new situation

Is your background a fit?

You Need:

  • Bachelor’s degree and 2-4 years of related experience. Masters preferred.
  • Cross-disciplinary and strong analytic skills
  • Broad experience with bioinformatics methods, software and computer programming languages are essential

#LI-POST

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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