• Sr Strategic Analyst / Data Scientist

    Job Locations USA-NY-New York
    Posted Date 1 month ago(5/7/2018 8:30 AM)
    Requisition ID
    Strategy & Innovation
  • 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 Description


    Around 70% of all patients treated at MSK come through the Department of Surgery. The projects we tackle and the decisions we support may impact thousands of patients annually, directly and indirectly. Along with increasing access to world renowned surgeons and unique treatment options, our focus is to enhance the patient experience and assess and manage the system-wide impact on resources stemming from surgical demand. We have a large amount of data available about our patients and our resources, and we support decisions with an increased level of accuracy and insight by leveraging data, advanced analytics tools and the knowledge from our clinical and operational staff.


    Strategy and Innovation

    As part of the Department of Strategy and Innovation (S&I), you will have an exciting group of peers and pioneers along your side. Our department is comprised of data scientists, strategic analysts and managers, operations researchers, software engineers, a behavioral psychologist, designers, and thought leaders. Our diverse team allows for an exciting and innovative environment where many experts gladly share ideas and concepts that benefit the entire department.


    The Role and Projects

    We are seeking a Sr Strategic Analyst / Data Scientist who will both lead and support projects that uses innovative approaches to improve how care is delivered. As part of the Surgery Analytics team you will empower data-driven decisions and process changes to enhance patients’ outcomes and experience. This will involve defining and scoping analyses, collecting and managing data, process mapping, performing statistical and mathematical modeling, developing new tools and systems, working with multiple departments and delivering results.


    Sample projects include:

    • Scheduling accuracy and optimization project: Improve existing, and develop new models to predict a patient’s time and resource requirements during and after surgery. Transform proof of concept models and ideas to production level
    • Nurse staffing optimization: Explore and leverage patient demand data to project the anticipated staffing needs in the Operating Suite. Assess the nursing constraints and preferences to best match capacity and demand through heuristics or optimization. Deliver insight through data regularly along interactive display of potential decisions
    • Analytical decision support for leadership: Questions that require appropriate timing for impactful decisions. What is the true surgical robotic needs for the next five years. Have we increased case duration for surgical cases and is this an effect of increased complexity in the types of cases we see at Memorial Sloan Kettering?

     You are:

    • Comfortable finding, gathering, and structuring data by talking to and learning from technical stakeholders in the organization
    • Able to build and validate analysis around a high-level question from non-technical stakeholder
    • Showing a great understanding of the audience to provide the right level of decision support
    • Comfortable outlining assumptions behind analysis and communicate the scope of the analysis
    • Comfortable with using quantitative techniques (e.g. scenario analysis, machine learning, forecasting, and predictive modeling) to solve business problems
    • Hungry to make processes and systems more effective and efficient
    • Passionate about improving health care delivery
    • Curious, eager to tackle a wide variety of problems, and able to learn independently

     You need:

    • Bachelor’s degree in a quantitative field (statistics, economics, operations research, mathematics, biostatistics etc.)
    • Minimum 2 years of experience working with real-world data
    • Experience with relational databases and SQL queries
    • Experience with statistical software (R, SAS, or SPSS) or programming (Python, Java, C++, or VBA)
    • Working knowledge in advanced analytics (academic or industry) i.e. machine learning, predictive modeling, forecasting, simulation, optimization
    • Expertise in data visualization (Tableau, R, or python)
    • Presentation skills and experience: verbal, visual, and written

     Nice to have:

    • Masters degree in a quantitative field
    • Proficiency in statistical software (e.g. R, SAS, SPSS)
    • Proficiency in a programming language (e.g. Python, Java)
    • Prior work experience in a clinical setting
    • Experience in presenting to executive leaders
    • Experience in delivering multidimensional data to technical and non-technical audiences by use of visualization (tableau, matplotlib, ggplot2)
    • Experience with linear regression
    • Experience with linear and mixed-integer programming (Gurobi/Python, GAMS, Cplex, AMPL)
    • Simulation experience: discrete-event, agent-based, Monte Carlo (Simio, Flexsim, Anylogic)






    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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