Do you envision finding a meaningful role with an inclusive and compassionate team? At Children’s Mercy, we believe in making a difference in the lives of all children and shining a light of hope to the patients and families we serve. Our employees make the difference, which is why we have been recognized by U.S. News & World Report as a top pediatric hospital, for eleven consecutive years.
Children’s Mercy is in the heart of Kansas City – a metro abounding in cultural experiences, vibrant communities and thriving businesses. This is where our patients and families live, work and play. This is a community that has embraced our hospital and we strive to say thanks by giving back. As a leader in children’s health, we engage in meaningful programs and partnerships throughout the region so that we can improve the lives of children beyond the walls of our hospital.
The Principal Data Scientist is responsible for delivering data science and Artificial Intelligence (AI) projects for Acute Care and Inpatient Operations, aligning data science initiatives with the priorities of our organization, and collaborating with clinical and operational leaders to drive data-driven decision-making in alignment with our strategic goals. Reporting to the Chief Data Officer, the Principal Data Scientist plays a pivotal role for the AI Center of Excellence (The AI IDEA Lab), assisting in efforts to build a strategic roadmap for AI at Children's Mercy, as well as assisting with AI governance processes and standards. Principal has mentorship responsibilities, assisting other Children's Mercy team members by communicating best practices in advanced analytics, data science, and machine learning.
At Children’s Mercy, we are committed to ensuring that everyone feels welcomed within our walls. A successful candidate for this position will join us as we strive to create a workplace that reflects the community we serve, as well as our core values of kindness, curiosity, inclusion, team and integrity.
Additionally, it’s important to us that we remain transparent with all potential job candidates. Because we value the safety of the patients and families we serve, as well as the Children’s Mercy staff, we want to let you know that the seasonal influenza vaccine is a condition of employment for all employees in our organization. New employees must be willing to be vaccinated if found non-immune to measles, mumps, rubella (MMR) and chicken pox (varicella) and/or without evidence of tetanus, diphtheria, acellular pertussis (Tdap) vaccination since 2005. If you are selected for this position, you will be asked to supply your immunization records as proof of vaccination. If you and have any concerns about receiving these vaccines, medical and/or religious exemptions can be further discussed with Human Resources.
Develop, deploy, and maintain complex algorithms, in support of Acute Care and Inpatient Operations, resulting in insightful output that integrates with our Patient Progression Hub (and other systems), through the use of our data platform technologies:
• Design, develop, and implement algorithms to analyze complex healthcare data, providing actionable insights to guide operational strategy and improve patient outcomes.
• Utilize advanced machine learning techniques to perform in-depth analysis of healthcare and/or operational data, identifying patterns and insights to improve patient outcomes.
• Work with leaders, stakeholders, and collaborators to proactively identify desired clinical and/or operational outcomes associated with a given data science project.
• Collaborate with cross-functional teams to integrate model outputs with existing systems and workflows, ensuring seamless data flow and utilization.
• Ensure scalability and reliability of analytical output by utilizing our cloud-based data platform (as well as other software solutions and data science tools) to explore large, complex data sets, as well as to manage and deploy models.
• Explain complex and technical details to non-technical collaborators, ensuring accurate and mutual understanding of the underlying context of a project, as well as the resulting insights of each analytical endeavor.
• Develop and deploy enterprise-level, production-grade, and impactful machine learning products by way of maintainable code, automated testing, and CI/CD processes.
• Ensure all data handling and analysis practices comply with ethical standards and regulations, prioritizing patient confidentiality, data security, and the responsible use of sensitive pediatric health information.
Provide leadership in building and sustaining a robust, enterprise-wide strategy for utilizing Artificial Intelligence at Children's Mercy:
• Partner with other members of the AI IDEA Lab to develop organization-wide standards and best practices for the development, deployment, and management of AI solutions.
• Continually seek and coordinate opportunities for collaboration and knowledge sharing amongst AI and data science stakeholders at Children’s Mercy.
• Regularly review scientific literature, attend conferences, and participate in educational opportunities to stay updated on the latest advancements in data science and AI, particularly those relevant to pediatric healthcare.
• Assess emerging data science tools and AI technologies for potential integration into hospital systems, ensuring they meet the specific needs of pediatric care.
Provide guidance to leaders, engineers, and data scientists to drive the design, development, and adoption of data science solutions:
• Mentor less experienced team members and provide coaching as needed.
• Prepare content for inclusion in publications and public presentations by articulating clear depictions of methodologies, interpretation of results, and effective design of data visualizations.
• In partnership with other Data Intelligence team members, develop and deliver AI literacy content to stakeholders across Children’s Mercy.
• Provide consultation to other technologists and leaders on emerging best practices in data science and analytics solution development.
The benefits plans at Children’s Mercy are one of many reasons we are recognized as one of the best places to work in Kansas City. Our plans are designed to meet the changing needs of our employees and their families.
Learn more about Children’s Mercy benefits.
Our pay ranges are market competitive. The pay range for this job begins at $64.48/hr, but your salaried offer will be determined based upon your education and experience.
This position is entirely remote or work from home. The person hired must live in the Kansas City metro area or request advanced approval to work outside of the area and may attend onsite meetings, as scheduled.
Children’s Mercy hires individuals based on their job skills, expertise and ability to maintain professional relationships with fellow employees, patients, parents and visitors. A personal interview, formal education and training, previous work experience, references and a criminal background investigation all are factors used to select the best candidates. The hospital does not discriminate against prospective or current employees based on the race, color, religion, sex, national origin, age, disability, creed, genetic information, sexual orientation, gender identity or expression, ancestry or veteran status. A drug screen will be performed upon hire. Children’s Mercy is smoke and tobacco free.
CM is committed to creating a diverse and inclusive workforce. Our patients and families come from all walks of life, and so do we. We know that our greatest strengths come from the people who make up our team so we hire great people from a wide variety of backgrounds, not just because it’s the right thing to do, but because it makes our hospital stronger and our patient care more compassionate.
If you share our values and our enthusiasm for service, you will find a home at CM. In recruiting for our team, we welcome the unique contributions that you can bring, including education, ideas, culture, ethnicity, race, sex, sexual orientation, gender identity and expression, national origin, age, languages spoken, veteran status, color, religion, disability and beliefs.
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