at University of Kansas Medical Center in Kansas City, Kansas, United States
Job Description
Data Manager - SOM Department of Biostatistics
Department:
SOM Department of Biostatistics
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Data Manager
Position Title:
Data Manager - SOM Department of Biostatistics
Job Family Group:
Professional Staff
Job Description Summary:
Under guidance from a faculty biostatistician, bioinformatician, data scientist or director of research information technology; carry out data cleaning, database queries, and custom report generation; perform intermediate-level statistical analysis and report generation of various data types that arise; participate in project meetings with collaborators; train employees on the use of BI applications; and assist with the preparation of written reports, manuscripts, and grant applications with investigators with moderate supervision of a Biostatistics & Data Science member. The data manager will also play a key role with Environmental influences on Child Health Outcomes (ECHO) Institutional Development and Data Coordinating Center (ISPCTN DCOC) in ensuring high-quality data management across multi-site clinical research studies. This position will serve as the primary point of contact between the DCOC and the participating ISPCTN sites for all data-related activities.
Job Description:
Job Description Summary
Under guidance from a faculty biostatistician, bioinformatician, data scientist or director of research information technology; carry out data cleaning, database queries, and custom report generation; perform intermediate-level statistical analysis and report generation of various data types that arise; participate in project meetings with collaborators; train employees on the use of BI applications; and assist with the preparation of written reports, manuscripts, and grant applications with investigators with moderate supervision of a Biostatistics & Data Science member. The data manager will also play a key role with Environmental influences on Child Health Outcomes (ECHO) Institutional Development and Data Coordinating Center (ISPCTN DCOC) in ensuring high-quality data management across multi-site clinical research studies. This position will serve as the primary point of contact between the DCOC and the participating ISPCTN sites for all data-related activities.
Job Responsibilities:
- Serve as the primary data management liaison with participating clinical sites.
- Respond to site inquiries and provide timely resolution for data-related issues, including electronic data capture (EDC) access, data entry, and query management.
- Lead the development and maintenance of study-specific data dictionaries and case report forms (CRFs), ensuring alignment with protocol requirements and standardized data elements.
- Coordinate with stakeholders to incorporate feedback and maintain consistency across studies.
- Develop and maintain SOPs and workflows related to data management, EDC use, and site communication.
- Ensure SOPs are current, aligned with best practices, and effectively implemented across the consortium.
- With moderate supervision, develop specific custom reports using Oracle, Tableau, SAS, or Shiny R.
- Create electronic case report forms (eCRFs).
- Participate in internal quality assurance efforts for form development, system performance monitoring, and report testing.
- Develops or "codes" BI Applications to enhance business decision-making capabilities, primarily using Tableau or R.
- Analyze existing databases, reports, and processes for opportunities to automate further or simplify utilizing BI tools.
- Analyze data within various databases (Oracle, SQL Server, etc.) utilizing various SQL-based tools, BI tools, and Reporting Tools to inform business decisions.
- Develop and maintain procedures for deploying R shiny projects as needed.
- Write database documentation, including data standards, procedures, and definitions for the data dictionary ('metadata').
- Train pertinent staff and other end-users as needed on BI Applications; and trains other BI Specialists on various BI Tools, including Tableau.
- Troubleshoot user issues with the BI Applications.
- Responsible for reviewing and maintaining Standard Operating Procedures and the change control documents.
- Attend project meetings with collaborators, with a Biostatistics & Data Science faculty member.
- Prepare reports, manuscripts, and grant applications for investigators with moderate supervision of Biostatistics & Data Science member.
Work Environment
Work is normally performed in a typical interior work environment, which does not usually subject the employee to any unpleasant elements.
This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. It is only a summary of the typical functions of the job, not an exhaustive list of all possible job responsibilities, tasks, duties, and assignments. Furthermore, job duties, responsibilities and activities may change at any time with or without notice.
Required Qualifications
Education:
- Bachelor's Degree in Computer Science, Information Technology or related field. Experience may be substituted for education on a year-for-year basis. Certifications/Licenses: n/a
Work Experience:
- 3 years of experience with: PL/SQL, SQL functions, triggers, complex queries, SQL reports.
- Experience in relational databases such as Oracle, MySQL, SQL Server, and Business Intelligence tools.
- Experience with database migration, database development, database maintenance performance tuning and optimization, and setting up and managing database connections.
- Experience in automation of ETL process between databases.
- Experience in one of these: R, SAS or Python.
- Experience working in a Windows and LINUX/UNIX environment.
- Experience with troubleshooting data-related issues using logical problem-solving methods and process of elimination.
- Experience with Microsoft Office products or equivalent.
Languages: n/a
Preferred Qualifications
- Education: Masters degree in a similar field of study. Experience may be substituted for education on a year for year basis.
Certifications/Licenses:
Work Experience:
- 2 years of experience in academic or private health-related research environments.
- Experience in creating, conducting training and documenting Metadata such as data dictionaries that are utilized for research.
Languages: n/a
Skills
- Superior analytical skills
- Proficiency in one of these: R, SAS or Python.
- Proficiency with Microsoft Office products or equivalent.
- Customer service skills.
- Communication skills (written and verbal) and be able to work with a wide variety of faculty and staff
- Attention to detail and thoroughness in completing work tasks
Comprehensive Benefits Package:
Coverage begins on day one for health, dental, and vision insurance and includes health expense accounts with generous employer contributions if the employee participates in a qualifying health plan. Employer-paid life insurance, long-term disability insurance, and various additional voluntary insurance plans are available. Paid time off, including vacation and sick, begins accruing upon hire, plus ten paid holidays. One paid discretionary day is available after six months of employment, and paid time off for bereavement, jury duty, military service, and parental leave is available after 12 months of employment. A retirement program with a generous employer contribution and additional voluntary retirement programs (457 or 403b) are available. https://www.kumc.edu/human-resources/benefits.html
Employee Type:
Regular
Time Type:
Full time
Rate Type:
Salary
Compensation Statement:
The pay range listed for this position is determined by our compensation program using market data and salary benchmarking. A combination of factors is considered in making compensation decisions including, but not limited to, education, experience and training, qualifications relative to the requirements of the position, and funding. At the University of Kansas Medical Center, a reasonable estimate for the starting pay range will be the minimum to midpoint of the posted range, taking into account the combination of factors listed above.
Pay Range:
$75,000.00 - $115,000.00
Minimum
$75,000.00
Midpoint
$95,000.00
Maximum
$115,000.00
Application Instructions:
To learn more and apply online, please visit https://kumc.wd5.myworkdayjobs.com/en-US/kumc-jobs/job/Kansas-City-Metro-Area/Data-Manager---SOM-Department-of-Biostatistics_JR008856 or go to https://careers.kumc.edu/ and search for position number JR008856.
Applications must be submitted directly through the KU Medical Center website to be considered for this position. Any applications submitted via email or this website will NOT be reviewed or considered.
About KU Medical Center:
The University of Kansas Medical Centers mission is to educate exceptional health care professionals through a full range of undergraduate, graduate, professional, postdoctoral and continuing education programs in the schools of Medicine, Nursing and Health Professions. KU Medical Center also advances the health sciences through world-class research programs; provides compassionate and state-of-the-art patient care in an academic medical center environment; and works with communities in every Kansas county to improve the health of Kansans. Learn more at www.kumc.edu.
Benefits:
KUMC offers a range of great benefits that support employees and eligible family members. Our health insurance benefits begin on hire date and KUMC offers other exciting benefits such as paid parental leave, generous employer retirement contributions and other resources to improve health and well-being. For more information, please visit https://www.kumc.edu/human-resources/benefits.html
Equal Employment Opportunity Statement
The University of Kansas Medical Center is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, ethnicity, ancestry, age, protected veteran or disability status, marital status, parental status, or genetic information. http://policy.ku.edu/IOA/nondiscrimination
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