"Data Analyst, Senior Professional Research Assistant Level 3"

Data Analyst, Senior Professional Research Assistant Level 3

University of Colorado Anschutz

Department: University of Colorado Cancer Center, Colorado School of Public Health, PHSR

Job Title: Data Analyst, Senior Professional Research Assistant Level 3

Position #:00844643 - Requisition #:38797

Job Summary:

The University of Colorado Cancer Center Comprehensive Cancer Center (UCCC) is looking to hire a full-time Senior Professional Research Assistant (Sr. PRA) - Level 3 within the Population Health Shared Resource (PHSR), a shared resources that provides quantitative and behavioral support to Cancer Center members and the university. The PHSR Data Analyst will be responsible for managing data and conducting analyses, meeting with investigators to determine the parameters of their projects and consulting with the PHSR Director(s) and Administrator to identify the best resources to meet user needs; maintaining appropriate records of work/service performed. PHSR maintains a large portfolio of cancer-related projects, and the position offers the opportunity to grow as a researcher with strong mentorship and the resources provided by the university the Cancer Center.

This position is for a Core-based Sr PRA 3- where Core members are usually expected to possess higher technical skills, educational training and interpersonal skills while operating a highly-expensive, sophisticated, cutting-edge equipment, and advanced data analysis supporting a wide variety of project and collaborating with multiple researchers' campus-wide.

Key Responsibilities:

• Provide scientifically rigorous database management and statistical analysis for multiple grant-funded research projects
• Collaborate with Principal Investigators and other stakeholders to discuss project needs
• Creatively and effectively integrate data from multiple sources
• Check data for integrity
• Assist with the development of tables, reports, analysis as directed by project leaders
• Provide input into publications and interdepartmental projects
• Conduct analysis of SEER, SEER-Medicare linked data, All-Payers Claims Databases, MarketScan, electronic health records, and other sources of data
• Conduct analysis of cancer registry data
• Write methods and results drafts for manuscripts
• Maintain documentation of analyses

Work Location:

Hybrid - this role is eligible for a hybrid schedule of 3 days per week on campus and as needed for in-person meetings.

Qualifications:

Minimum Qualifications:

• Master's degree in biostatistics, statistics, economics, health services research, epidemiology, or related quantitative field
• Two (2) years of experience using databases and statistical software (SAS, R and/or Stata) for analysis or two (2) years of experience in cancer research using Cancer Registry (state or SEER) datasets and medical claims (e.g., SEER-Medicare, Medicare and/or Medicaid claims, All-Payer Claims Databases)

Preferred Qualifications:

• PhD degree in biostatistics, statistics, economics, health services research, epidemiology, or related quantitative field
• Experience with statistical analysis and programming including SAS, Stata, R, and mapping software (ArcGIS, Tableau)
• Experience working with multiple data sources including large administrative databases and medical records
• Experience working with cancer registry data
• Experience with health economics research
• Experience conducting cancer prevention and control research

Knowledge, Skills and Abilities:

• Knowledge of health services research, program evaluation, or other patient outcomes research methods using observational data
• Extensive knowledge and skills with database management and analysis
• Excellent verbal and communication skills
• Collaborative work skills
• Ability to handle to handle and prioritize multiple tasks on tight deadlines.
• Ability to work independently

Anticipated Pay Range:

HIRING RANGE: $66,687 to 105,729

How to Apply:

For full consideration, please submit the following document(s):

1. A letter of interest describing relevant job experiences as they relate to listed job qualifications and interest in the position
2. Curriculum vitae / Resume
3. Five professional references including name, address, phone number (mobile number if appropriate), and email address

Applications are accepted electronically ONLY at www.cu.edu/cu-careers.

Questions should be directed to: Elizabeth Molina Kuna, Elizabeth.molinakuna@cuanschutz.edu