SHIFT: Day (United States of America)
Seeking Breakthrough Makers
Children's Hospital of Philadelphia (CHOP) offers countless ways to change lives. Our diverse community of more than 20,000 Breakthrough Makers will inspire you to pursue passions, develop expertise, and drive innovation.
At CHOP, your experience is valued; your voice is heard; and your contributions make a difference for patients and families. Join us as we build on our promise to advance pediatric care-and your career.
CHOP's Commitment to Diversity, Equity, and Inclusion
CHOP is committed to building an inclusive culture where employees feel a sense of belonging, connection, and community within their workplace. We are a team dedicated to fostering an environment that allows for all to be their authentic selves. We are focused on attracting, cultivating, and retaining diverse talent who can help us deliver on our mission to be a world leader in the advancement of healthcare for children.
We strongly encourage all candidates of diverse backgrounds and lived experiences to apply.
A Brief Overview At the Brain-Gene-Development Lab led by Aaron Alexander-Bloch, we are a group of computational scientists who integrate multimodal brain imaging, genomics, and behavior of children and adults at CHOP and the University of Pennsylvania. Our goal is to translate the highly polygenic risk for psychosis and other neurodevelopmental psychiatric disorders into pathophysiologic mechanisms, to inform the development of new treatments for individuals with mental illness. We believe in a team science approach and work closely with other labs within the Lifespan Brain Institute at CHOP and Penn, national, and international collaborators. Responsible for mining, manipulating and analyzing data from sources to produce valid, integrated and actionable information to assist in quality improvement, and performance.
In addition, produce daily, periodic, and ad hoc reports to assist in daily operations and process management.
What you will do
- Data Collection and Analysis
- Works in partnership to understand and prioritize data needed for any improvement initiative or program to meet regulatory requirements or for other purposes relative to departmental performance or improvement.
- Applies quality improvement principles to design of initiatives, helps team to analyze, measure and report departmental and staff performance.
- Acts as a departmental resource regarding the reporting of data to include core measures and other requirements. Promotes the analysis of data using charts and visualization.
- Works across teams to ensure data has gone through the appropriate level of validation.
- Departmental Quality Improvement and Data Collection
- Maintains the quality improvement infrastructure with the Department, suggesting workable structures and processes, identifying areas for improvement, and implementing outcomes measurement systems - related to defined QI measures.
- Designs and executes data collection for initiatives and evaluation of performance / process improvement plans.
- Analyzes data and prepare tables, charts, graphs, and reports of outcome/process measures for distribution and requests.
- Assists leaders and staff with the interpretation of data.
- Database Development and Management
- Helps to teams in development of design and implementation, along with guiding ways to enhance analytical structure.
- Partners in integrating data from multiple sources to create relational databases for the purpose of analysis and reporting.
- Generates reports from data systems and links multiple data sets to create large databases of surveys and/or data.
- Assists in programming large data sets and reporting tools to make the data usable for the end user and creates data sets and/or reports for analysis and manipulation by users.
- Departmental Dashboards and Scorecards
- Assists in creating reporting tools to make the data usable for the end user and creates datasets and/or reports for analysis and manipulation by end users.
Education Qualifications
- Bachelor's Degree Required
- Bachelor's Degree clinical informatics, sciences, math, statistics, healthcare management or other healthcare related degree. Preferred
Experience Qualifications
- At least one (1) year data analysis or database management experience. Required
- At least three (3) years data analysis or database management experience Preferred
- working in a complex health care related environment Preferred
Skills and Abilities
- Advanced knowledge of database management, mining, analysis and statistics.
- Intermediate knowledge of programming languages (SQL)
- Basic knowledge of medical terminology
- Advanced proficiency with spreadsheet software (Microsoft Excel)
- Advanced proficiency with database management systems (Access, Oracle)
- Advanced proficiency with data mining and analysis tools (Business Objects, Datawatch Monarch Pro, SAS, IBM SPSS)
- Basic proficiency with office software (Microsoft Office) including word processing and presentation software (Word, PowerPoint)
- Excellent verbal and written communications skills
- Strong critical thinking / problem-solving skills
- Solid project management skills
- Solid time management skills
- Solid organizational skills
- Solid interpersonal skills
- Ability to gather, analyze and make recommendations/decisions based on data
- Ability to convey complex or technical information in an easy to understand manner
- Ability to work independently with minimal supervision
- Ability to maintain confidentiality and professionalism
- Ability to collaborate with stakeholders at all levels
To carry out its mission, CHOP is committed to supporting the health of our patients, families, workforce, and global community. As a condition of employment, CHOP employees who work in patient care buildings or who have patient facing responsibilities must be fully vaccinated against COVID-19 and receive an annual influenza vaccine. Learn more.
Employees may request exemptions for valid religious and medical reasons. Start dates may be delayed until candidates are immunized or exemption requests are reviewed.
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