Memorial Sloan-Kettering Cancer Center Strategic Analyst II in New York, New York
Strategic Analyst II
Job Posting Number: 19227
Strategy and Innovation
January 26, 2018
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.
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 at http://careers.mskcc.org/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 Strategic Analyst II 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?
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
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)
WHEN APPLYING, PLEASE INCLUDE BOTH A RESUME AND A COVER LETTER (AS A SINGLE PDF).
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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