Senior Professional Research Assistant

University of Colorado – School of Medicine

Senior Professional Research Assistant

The University of Colorado has a requirement for COVID-19 vaccinations and full completion thereof by 9/1/21 or upon start date.  Information regarding this requirement, and exemptions can be found at:

Anschutz: https://www.ucdenver.edu/docs/librariesprovider284/default-document-library/3000-general-admission/3012---covid-19-vaccination-requirement-and-compliance.pdf?sfvrsn=4e9df3ba_2

Denver: https://www.ucdenver.edu/coronavirus

Exemptions vary by campus location/department.

Campus/Unit-Specific Exemptions:

• Anschutz Campus – Exemptions are allowed for medical or religious reasons.
• Denver Campus - Exemptions are allowed for medical, religious, or personal reasons.
• Consolidated/Central Services Administration – Will follow Anschutz policy on exemptions.

The University of Colorado Denver seeks individuals with demonstrated commitment to creating an inclusive learning and working environment.  We value the ability to engage effectively with students, faculty and staff of diverse backgrounds

Nature of Work :

The Sr. PRA (Data Analyst) will work with the Principal Investigators in the Division of Gynecologic Oncology in the Department of Obstetrics and Gynecology.  The primary responsibility of the data analyst is to assist with data collection, oversee the data management, provide statistical expertise, analysis and data visualization for gynecologic oncology research projects.

Additionally, the data analyst is responsible for research database development and management, and assistance with reporting requirements.

Supervision Received :

The data analyst reports to the principal investigator in the Division on Gynecologic Oncology.

Examples of Work Performed :

• Provide database management and statistical analysis for multiple research projects.
• Create databases from multiple resources.
• Check data for integrity.
• Collaborate with other research personnel and groups on a variety of studies
• Provide tables, reports, analysis as directed by project leaders.
• Provide input into publications and interdepartmental projects.
• Create de-identified datasets as needed for analysis.
• Conduct analysis of cancer registry data.
• Write methods and results drafts for manuscripts.
• Provide documentation of analyses.
• Perform literature searches.
• Assist with manuscript and grant writing.
• Comply with all University and Hospital policies and procedures related to data management.
• Other duties as assigned.

Knowledge and Skills Required

This is a position requiring an enthusiasm for medical research and knowledge or interest in women’s health. The candidate will be self-directed, detail-oriented, and adaptable in a high-intensity research environment involving multiple NIH and industry-sponsored research studies.

A solid fundamental knowledge of biological and medical sciences is necessary for this position.  Excellent communication and personnel management skills are also required. It is anticipated that a successful candidate will have strong skills in organization and attention to detail, to ensure accurate documentation as required by all studies being performed.

Experience and competency in the following areas are necessary for this role:

• Background in project management in biomedical or public health research, such as management of research databases, data quality control, statistical analysis, and development of charts and tables;
• Proficiency in writing and editing of peer-reviewed manuscripts, reports, and research grants;
• Background supporting multi-institutional and multi-disciplinary collaborations;

Salary and Benefits:

The salary range (or hiring range) for this position has been established at $55,000 - $89,000

The salary of the finalist(s) selected for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, specialty and training.

The above salary range (or hiring range) represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

This position is not eligible for overtime compensation.

The University of Colorado offers a full benefits package. Information on University benefits programs, including eligibility, is located at Employee Services .

University of Colorado Denver | Anschutz Medical Campus is dedicated to ensuring a safe and secure environment for our faculty, staff, students and visitors. To assist in achieving that goal, we conduct background checks for all new employees prior to their employment.

The Immigration Reform and Control Act requires that verification of employment eligibility be documented for all new employees by the end of the third day of work. Alternative formats of this ad are available upon request for persons with disabilities.

Your total compensation goes beyond the number on your paycheck. The University of Colorado provides generous leave, health plans and retirement contributions that add to your bottom line.

Benefits: https://www.cu.edu/employee-services/benefits .

Total Compensation Calculator: https://www.cu.edu/employee-services/total-compensation

Diversity and Equity:

Please click here for information on disability accommodations: https://www1.ucdenver.edu/offices/human-resources/employee-relations-performance/ada-compliance

Office of Equity: https://www1.ucdenver.edu/offices/equity

The University of Colorado Denver | Anschutz Medical Campus is committed to recruiting and supporting a diverse student body, faculty and administrative staff. The university strives to promote a culture of inclusiveness, respect, communication and understanding. We encourage applications from women, ethnic minorities, persons with disabilities and all veterans. The University of Colorado is committed to diversity and equality in education and employment.

Minimum Qualifications :

• Master's degree in biostatistics, statistics, economics, health services research, epidemiology, or related quantitative field.
• 2 years of experience with statistical analysis and programming including SAS, Stata, and mapping software.
• Experience working with multiple data sources including large administrative databases and medical records.
• Experience using statistical software (e.g. SAS®, SPSS®) and running statistical analyses

Applicants must meet minimum qualifications at the time of hire.

Preferred Qualifications:

• Over 5 years of experience statistical analysis and programming including SAS, Stata, and mapping software.
• Experience with linkage of medical claims data (Medicare and Medicaid) to primary data.
• Experience working with cancer registry data.
• Experience conducting cancer prevention and control research.