Open Rank: Instructor/Senior Instructor - Data/Statistical Analysis

Job Summary:

The Adult and Child Center for Health Outcomes Research and Delivery Science (ACCORDS) and the Division of Health Care Policy and Research, Department of Medicine at the University of Colorado seek a faculty member with health-related research experience and expertise in statistical analysis, data management, and/or data sciences. Successful candidates will be at the level of Instructor or Senior Instructor. Specific areas of interest include expertise in managing and analyzing large secondary data sets (e.g., healthcare claims databases, national survey data, and/or electronic health records), longitudinal data analysis, causal inference, analysis of cluster-randomized trials, stepped-wedge trials, and pragmatic research trials.

This faculty position will have their academic affiliation in the Department of Medicine, Division of Health Care Policy and Research and will be a part of a well-established Data Informatics and Statistics Core in ACCORDS, a research center supporting the advancement of health services research and T3-T4 translational research that is jointly funded by the School of Medicine and Children's Hospital Colorado.

Key Responsibilities:

• Acquire and manage databases that are derived from primary and secondary data sources, including maintaining and monitoring data quality to identify and resolve issues in data systems.

• Write statistical programs in R, SAS, STATA and/or Python and conduct complex statistical analyses of primary and secondary data sources in support of assigned research projects

• Designs reports, runs advanced queries, and develop and implement data transformation algorithms in existing database systems to support data interpretation, reporting, and systems conversions; including management of data integrity

• Participate in collaborative research, including grant and manuscript writing and developing statistical analysis plans for assigned projects

• Consult with Investigators on the design and implementation of data collection and management for research projects

• Consult with faculty regarding statistical analysis questions on grant proposals, including assistance with power and sample size calculations, developing statistical analysis plans, and determining the most appropriate statistical methods to use

• Produces tables and figures for manuscripts, presentations and grant proposals using a variety of statistical databases, spreadsheets, slide presentations and graphics software, consulting with other project staff as needed

• Pursue original research and apply for intramural and extramural funding to support development of an individual research program, if desired

Work Location:

Position is eligible for either a hybrid or remote work location.

Hybrid - hybrid schedule of 3 days per week on campus and as needed for in-person meetings.

Remote - this role is eligible to work remotely, but the employee must be in the United States, and available for needed in-person meetings.

Why Join Us:

The mission of the Division of Health Care Policy and Research (HCPR) is to design and conduct health services research, policy analyses, and evaluations of innovations, programs, and policies that increase the value of health care services. Our faculty approach this mission from multiple perspectives, including across the lifespan and generations. HCPR faculty members investigate how dissemination and implementation (as well as de-implementation when appropriate) of innovations in health care services, payment models, quality measurement approaches, and delivery system structures influence both individual and population-level outcomes with a focus on value and sustainability throughout our healthcare system. In addition to grant funded projects, HCPR actively pursues contract funding from federal and state government agencies.

ACCORDS serves as the focal point for health care professionals, researchers and analysts from across the Anschutz Campus to foster multidisciplinary collaborations that bring together our campus's diverse skills and talents to pursue health services research and education. In addition to DISC, other ACCORDS Cores include Dissemination and Implementation Science, Patient-Centered Decision Making, Pragmatic Research and Trials, Digital Health Technology, Learning Health System, and Qualitative and Mixed Methods.

Why work for the University?

We have AMAZING benefits and offer exceptional amounts of holiday, vacation and sick leave! The University of Colorado offers an excellent benefits package including:

• Medical: Multiple plan options
• Dental: Multiple plan options
• Additional Insurance: Disability, Life, Vision
• Retirement 401(a) Plan: Employer contributes 10% of your gross pay
• Paid Time Off: Accruals over the year
• Vacation Days: 22/year (maximum accrual 352 hours)
• Sick Days: 15/year (unlimited maximum accrual)
• Holiday Days: 10/year
• Tuition Benefit: Employees have access to this benefit on all CU campuses
• ECO Pass: Reduced rate RTD Bus and light rail service

There are many additional perks & programs with the CU Advantage.

Qualifications:

Minimum Qualifications:

Applicants must meet minimum qualifications at the time of hire.

This is an open rank position and could be categorized as Instructor or Senior Instructor based on experience and qualifications as indicated below:

Instructor

Education:

• Master's degree or equivalent in biostatistics, statistics, or related fields that provides the individual with the required knowledge, skills and abilities

Experience:

• Five years experience in research/evaluation, including experience with various research methods, data collection, data management, and analysis using SAS, STATA, R, and/or equivalent statistical analysis packages

• Two years of research experience applying statistical analysis on funded health services research studies in relevant areas

Senior Instructor

Education:

• PhD or currently pursuing a PhD in biostatistics, statistics, data science, or related field

Experience:

• Seven years experience in research/evaluation, including experience with various research methods, data collection, data management, and analysis using SAS, STATA, R, and/or equivalent statistical analysis packages

• Four years of research experience applying statistical analysis on funded health services research studies in relevant areas

Preferred Qualifications:

Instructor and Senior Instructor

• Significant experience in "big data" or "real world data" analysis with primary areas of interest including electronic health records, pragmatic trial design, cluster-randomized trials, adaptive clinical trial designs, advanced techniques to approach causal inference and confounding in observational studies, or structural equation modeling

• Experience supervising or mentoring statistical analysts

• Experience in developing analytic sections for grant applications

• Experience writing statistical methods section of manuscripts, peer-reviewed articles, and/or reports

Knowledge, Skills and Abilities:

• Knowledge of basic and advanced statistical principles and analytic methods relevant in health services research

• Advanced knowledge of statistical computing and/or Bayesian inference

• Advanced programming skills in a common statistical software package (e.g., SAS, R, STATA, Python)

• Excellent problem-solving skills

• Organizational skills and ability to operate effectively and efficiently according to the needs and demands of concurrent projects and deadlines

• Excellent written and verbal communication skills including ability to maintain diplomacy with all collaborating partners

• Positive attitude and the ability to work with and be responsive to colleagues biomedical investigators and colleagues across the Anschutz Medical Campus

• Ability to contribute to the growth and development of ACCORDS and HCPR

• Ability to analyze large complex datasets with primary areas of interest including electronic health record data, healthcare claims datasets (e.g., Marketscan, APCD), and national surveys (e.g., NHANES, MEPS)

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: Katie Colborn, Kathryn.Colborn@cuanschutz.edu

Screening of Applications Begins:

This position is open immediately and will remain open until filled. For best consideration, apply by November 1, 2025.

Anticipated Pay Range:

The starting salary range (or hiring range) for this position has been established as HIRING RANGE:

Instructor: $90,000 to $110,000

Senior Instructor: $100,000 to $120,000

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 unless it is non-exempt.

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.

Total Compensation Calculator: http://www.cu.edu/node/153125

Equal Employment Opportunity Statement:

The University of Colorado (CU) is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities.

ADA Statement:

The University will provide reasonable accommodations to applicants with disabilities throughout the employment application process. To request an accommodation pursuant to the Americans with Disabilities Act, please contact the Human Resources ADA Coordinator at hr.adacoordinator@ucdenver.edu.

Background Check Statement:

The University of Colorado 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 investigations for all prospective employees.

Vaccination Statement:

CU Anschutz strongly encourages vaccination against the COVID-19 virus and other vaccine preventable diseases. If you work, visit, or volunteer in healthcare facilities or clinics operated by our affiliated hospital or clinical partners or by CU Anschutz, you will be required to comply with the vaccination and medical surveillance policies of the facilities or clinics where you work, visit, or volunteer, respectively. In addition, if you work in certain research areas or perform certain safety sensitive job duties, you must enroll in the occupational health medical surveillance program.