Sr. Software Engineer, Digital & Computational Pathology

Job Posting Number: 24490

Allied Health – Biomedical Engineering
New York, NY
August 9, 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:

This is a research and development position involving the development and support of biomedical applications and software tools for research and clinical purposes. The Software Engineer will assist in the design, implementation and maintenance of software tools that use computational pathology and machine learning methods, access in-house and external databases, and integrate and display data on the fly. The Software Engineer will also process and analyze data from multi-modalities medical imaging and high-throughput next-generation sequencing with an emphasis in pathology;

Creates software and algorithms that enable discoveries in medicine and evaluation of biological variation in disease, including cancer. Develops software linking databases.

Plans and implements the integration of new software tools into existing resources. Is responsible for frontend design, coding, testing, debugging and documentation of software systems.

Participates in webserver application development and in the building and testing of complex systems. Familiarity with advanced programming and mathematical tools, such as: C#, JavaScript, Visual Studio, and/or HMTL5, , ASP.Net, Nancy, Razor, and Redis.

Receives little or no instruction on day-to-day work and general instruction on new assignments in order to:

Produce required functional, technical, and user documentation (e.g., business requirements, functional and technical specifications, system architecture, data flows, end-users training requirements) on assigned projects.

Works and collaborates with team of machine learning experts, software engineers and medical doctors to build a new generation of artificial intelligent in cancer detection and treatment.

Provide consultation and guidance to research scientists, as well as other bioinformatics and software engineers, at the Center.

Maintains and enhances professional growth and development through participation in scientific and technical discussions, workshops, and seminars to keep current in the development in web technology and computational tools.

Bachelor’s Degree Computer Science, Mathematics, Bioinformatics or related field 2-4 years

Detailed knowledge and experience programming in C#, JavaScript, Visual Studio. Experience in web server application development. Experience in building and testing complex systems. Interest in building non-standard medical software applications, in collaboration with medical partners. Cross-disciplinary and strong analytic skills required.

Master’s Degree Computer Science, Mathematics, Bioinformatics or related field Less than 2 years Detailed knowledge and experience programming in C#, JavaScript, Visual Studio and/or ASP.Net, Nancy, Razor, Redis. Experience in building and testing complex systems. Experience in high performance computing and the development of biomedical applications. Experience in machine learning and computer vision. Interest in building non-standard medical software applications, in collaboration with medical partners.

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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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