Are you interested in playing a key role in integrating optimal protocol activation functioning for clinical research?

At MSK, were running one of the largest clinical trials programs for cancer in the country, and at any time we are conducting hundreds of clinical trials to improve cancer care. Our Protocol Activation Core was created in January 2018. We are a centralized team handling protocol activation, protocol review and Human Research Protection for all clinical trials at MSK. We are seeking a Protocol Activation Data Analyst to join our dynamic team. In this role, you will lead protocol activation initiatives to extract and analyze related data, design and build reports and reporting tools, and other end-user information portals or resources.

You Will:

• With some supervision, meets with project sponsors and stakeholders to understand business need and context for data requirements
• Consults and understands business needs and transforms business questions into data-driven, analytical questions to clarify, quantify, or further support business needs
• Gathers information and data from disparate teams, groups, sources, and systems to obtain necessary details to support the Team's initiatives.
• Independently queries, manages, and performs quality assurance on data related to analyses.
• Identifies and documents anomalies and discrepancies in data or data relationships found during analysis.
• Creates presentations, reports, dashboards, and other communication tools to keep institutional leaders and stakeholders abreast of project status or to support their work product.
• Reviews operational and financial processes to supplement and contextualize data analyses.
• Presents results of analysis performed to a wide variety of differing audiences, translating technical and detailed data into action plans and/or recommendations
• Works collaboratively with other data analysts, project managers, and process engineers, reviewing work and contemplating ideas.
• Manages cross functional relationships to navigate disparate and complex data sets.
• Initiates and maintains continual dialogue with internal stakeholders regarding project scope/details, directions, tasks, timeline ensuring all parties are on the same page.
• Provides clear, concise, and comprehensive verbal and written communication to internal MSKCC stakeholders including senior leadership, administrative management, physician leaders and staff.
• Communicates effectively with all levels of management, hospital administration and creates executive level dashboards to simplify conclusions around complex data sets.

You Are:

• Able to work independently to create scripts to extract, manipulate and analyze data.
• 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.
• Action-oriented and eager to embrace new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.
• Adept at planning and prioritizing work to meet commitments aligned with organizational goals.
• An effective communicator, capable of determining how best to reach different audiences and executing communications based on that understanding.
• Able to operate effectively, even when things are not clear, or the way forward is not obvious.
• Flexible in your approach and demeanor in order to align with the shifting demands of evolving circumstances.

You Have:

• A Bachelor's degree in Mathematics, Statistics, Computer Science or related field or 2 years working in a Data Analyst role (required).
• 2 years demonstrated data extraction experience working with Structured Query Language (SQL) (required)
• Experience with scripting languages such as Python, R or similar with a focus in visualization (preferred)
• 2-4 years of clinical research or other health related industry experience (preferred)
• Masters degree in Mathematics, Statistics, Computer Science or related field (preferred)