The role of the statistician is to set up, structure and analysis data from claims or other sources into information, information into insights, and to present insights to Michigan Quality Oncology Consortium (MOQC) Team members and leadership that is useful, thoughtful and meaningful. Ultimately, the end users of this data, predominantly oncology physicians and their healthcare team, need to understand and use the data to improve the care and/or receive a financial reward for the care provided to patients and families.
The individual in this position will fulfill the following activities: data set-up, collection and quality validation, organization and design, analysis, statistics and reporting. This role requires continuous monitoring of performance, attention to detail and an ability to develop check and balances to validate that analyses, interpretations and conclusions of data are accurate before use in reporting and presentation.
The statistician reports to the Program Manager or his/her designee.
This position is 50% of a full time equivalent (20 hours a week)
- Acquires and maintains technical documentation of data from primary or secondary data sources
- Seeks out and organizes data from diverse sources and organizes it in such a way that source data is retrievable and maintained but that appropriate data are linked or aligned for analyses
- Performs data cleaning and quality review on raw data; documents methodology and maintains record of excluded data elements and rationale for exclusions
- Meets with users and ensures clarity with deliverables and/or understanding of end point or output required; dialogues and reaches consensus with users regarding approach and design of data analysis
- Establishes and/or collaborates on study design from a wide variety of perspectives, including sample size estimates and development of randomization schemes
- Structures and develops appropriate data analyses in SAS or R or other appropriate statistical programs to maximize efficiency, replicability and flexibility of reportable outcomes
- Interprets data and analyzes results using moderate to advanced statistical techniques appropriate to data in use
- Identifies, analyzes and interprets trends or patterns in complex data sets
- Builds quality checks into analytics to ensure outputs are correct and complete
- Critiques analytic outputs from a quality and data integrity perspective and can self-correct when issues arise
- Outlines timeframes or work plan with users re: key deliverables and times to share analyses, receives feedback and achieve consensus of product and insights
- Defines with users’ methods of presenting data that best meets the needs of the audience to whom the data is being presented; develops and shares an understanding of what presentation styles work best for what types of data analyses
- Delivers written summaries of methodology, analytic approaches and results to support data presentations, grants, reports, abstracts and manuscripts, as appropriate
- Provides interpretation and insights from data analytics and trends, and can recommend a set of next steps in analytics or data collection to move project forward
- Develops and implements data collection systems and other strategies to optimize statistical efficiency and data quality
- Maintains meticulous record keeping and trail of analytics and decisions to support audit or quality review processes or functions
- Locates and defines opportunities for improvement based on data trends, analytics and interpretations
OTHER JOB DUTIES
- Conforms to agreed work hours
- Ensures completion of deliverables within defined or expected timeframes
- Oversees or contributes to temporary or team advisor’s work product, as appropriate
- A Master’s degree in biostatistics or other data-related field
- Three or more years of experience with SAS and/or R, or other statistical application, and three or more years of experience in database management and statistical analysis, including survey data analysis and multivariate analysis
- At least one year of full-time experience working with clinical data
- At least one year of full-time experience working with claims data
- Experience with data cleaning and review and implementing database quality assurance standards
- Experience with complex data structure and linkages between data sources
- Ability to calculate both descriptive and inferential statistics in accordance with project designs
- A self-starter, especially with data and deliverable delivery
- Inquisitive, with a keen interest in exploring and learning what data says
- Effective communication skills, including an ability to translate data into meaningful statements, conclusions and presentations to a variety of constituents
- Effective interpersonal skills since work will be developed, shared, and evaluated within a team structure
- Ability to draw reasonable insights from structured analyses
- Able to manage multiple tasks, meet deadlines/excellent organizational & time management skills
- Excellent computer competency; working skill set for Microsoft and statistical applications
- Ability to quickly learn and/or improve computer application skills
- Experience in the analysis and reporting of clinical trials
- Experience with longitudinal data analysis
- Understanding of ICH and FDA regulations and guidelines with regard to the conduct of human subject research
University of Michigan Health System conducts background screening and pre-employment drug testing on job candidates upon acceptance of a contingent job offer and may use a third party administrator to conduct background screenings. Background screenings are performed in compliance with the Fair Credit Report Act.
Job openings are posted for a minimum of seven calendar days. This job may be removed from posting boards and filled anytime after the minimum posting period has ended.
U-M EEO/AA Statement
The University of Michigan is an equal opportunity/affirmative action employer.