Responsibilities*
The Michigan Radiation Oncology Quality Consortium (MROQC) has created a comprehensive clinical data registry of patients receiving radiation treatment for breast, lung, and prostate cancers and bone metastases. The registry is maintained by the University of Michigan (the MROQC Coordinating Center), and it includes both patient-reported outcomes and physician assessments of toxicity as well as data on radiation treatment delivery and dose.
Provide end-to-end coordination of development of MROQCs data collection and management tools in support of clinical quality improvement; lead the planning, design, development, implementation, maintenance, and evaluation of MROQC's data, reports, and automated data collection systems; work with stakeholders, team members, and end users to identify and understand MROQC's end-to-end clinical data collections needs, challenges and opportunities; liaise with stakeholders to define and document MROQC's data collection business needs and technical requirements; develop in-depth understanding of MROQC member hospitals' clinical data collection and reporting processes; lead the conduct of analyses and functional design activities for capturing, loading, storing, and extracting data across MROQC; develop reports and definitions, graphs, dashboards, and portal interfaces; translate stakeholder needs and requirements into detailed technical specification documents to develop and maintain processes and tools for both manual and automated data collections; collaborate with internal teams & external vendors on design, implementation, testing, and deployment of technical data collection specifications; participate in project planning and scope creation, project communications and status reporting; and serve as MROQC's data collection subject-matter expert and point of contact for troubleshooting and technical support. Up to 75% remote work from home.
Required Qualifications*
Master's degree in Health Informatics, Data Science, or related + 2 yrs experience working with large datasets, including administrative claims data, to analyze and interpret clinical outcomes data utilizing SAS or Python & Power BI; programming relational databases, complex data structure, and linkages between data sources; creating data visualizations and reports using SAS, Python, and Power BI; & drafting statistical tests to solve analytic problems, including using descriptive statistics, linear regression, logistic regression, survival analysis, mixed models with repeated measures, multi-level modeling, and conjoint analysis. Background check and drug screen required upon offer acceptance.
Modes of Work
Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes.
Background Screening
The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks are performed in compliance with the Fair Credit Reporting Act.
U-M EEO Statement
The University of Michigan is an equal employment opportunity employer.
The Michigan Radiation Oncology Quality Consortium (MROQC) has created a comprehensive clinical data registry of patients receiving radiation treatment for breast, lung, and prostate cancers and bone metastases. The registry is maintained by the University of Michigan (the MROQC Coordinating Center), and it includes both patient-reported outcomes and physician assessments of toxicity as well as data on radiation treatment delivery and dose.
Provide end-to-end coordination of development of MROQCs data collection and management tools in support of clinical quality improvement; lead the planning, design, development, implementation, maintenance, and evaluation of MROQC's data, reports, and automated data collection systems; work with stakeholders, team members, and end users to identify and understand MROQC's end-to-end clinical data collections needs, challenges and opportunities; liaise with stakeholders to define and document MROQC's data collection business needs and technical requirements; develop in-depth understanding of MROQC member hospitals' clinical data collection and reporting processes; lead the conduct of analyses and functional design activities for capturing, loading, storing, and extracting data across MROQC; develop reports and definitions, graphs, dashboards, and portal interfaces; translate stakeholder needs and requirements into detailed technical specification documents to develop and maintain processes and tools for both manual and automated data collections; collaborate with internal teams & external vendors on design, implementation, testing, and deployment of technical data collection specifications; participate in project planning and scope creation, project communications and status reporting; and serve as MROQC's data collection subject-matter expert and point of contact for troubleshooting and technical support. Up to 75% remote work from home.
Required Qualifications*
Master's degree in Health Informatics, Data Science, or related + 2 yrs experience working with large datasets, including administrative claims data, to analyze and interpret clinical outcomes data utilizing SAS or Python & Power BI; programming relational databases, complex data structure, and linkages between data sources; creating data visualizations and reports using SAS, Python, and Power BI; & drafting statistical tests to solve analytic problems, including using descriptive statistics, linear regression, logistic regression, survival analysis, mixed models with repeated measures, multi-level modeling, and conjoint analysis. Background check and drug screen required upon offer acceptance.
Modes of Work
Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes.
Background Screening
The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks are performed in compliance with the Fair Credit Reporting Act.
U-M EEO Statement
The University of Michigan is an equal employment opportunity employer.