Job Summary:

The Barbara Davis Center for Diabetes has an opening for an Information Sciences Professional/Data Specialist to join the Clinical Epidemiology Division under the supervision of Dr. Janet Snell-Bergeon, the Division Director. This position will be responsible for developing and managing data collection tools and systems to support NIH and foundation funded research studies in the division. We are looking for an organized, professional individual with an interest in medical research and experience with developing, managing and analyzing data using SQL, Redcap, R, Microsoft Access and SAS. The ability to work both independently and as part of a team is key, as this position will support a team of research staff that includes investigators, program managers, study coordinators, statisticians and research assistants.

Key Responsibilities:

• Serve as the study team's key support regarding designing, managing and reporting data.
• Work with the study team to develop and manage data collection tools, including acquiring validated questionnaires and preparing data collection forms for study visits.
• Develop and manage study databases, using tools that include Redcap, Microsoft SQL and Microsoft Access.
• Establish procedures for acquiring, downloading and organizing continuous glucose monitoring data for study participants.
• Learn and manage the software for downloading and analyzing physical activity data collected in the study.
• Prepare continuous glucose monitoring and physical activity data for analysis, and perform basic data manipulation and analysis in R and/or SAS.
• Respond to data requests from study investigators promptly and accurately.

Work Location:

Onsite - this role is expected to work onsite and is located in Denver, CO.

Hybrid - this role may be eligible for a hybrid schedule of 3-4 days per week on campus and as needed for in-person meetings. Onsite vs. hybrid work will be determined by the supervisor.

Why Join Us:

The Barbara Davis Center for Diabetes is one of the leading centers in the nation for clinical care and research in the area of type 1 diabetes. We are on the forefront of research involving the use of diabetes technologies, including continuous glucose monitoring and automated insulin delivery devices. We have a robust research portfolio in Clinical Epidemiology, with 8 faculty within the Division. This position will support NIH and foundation-sponsored research in the areas of type 1 diabetes etiology, treatment and complications. Our center works with many of the other major diabetes research centers in the country and the world on multi-center studies.

The University of Colorado offers a comprehensive benefits package that includes health insurance, life insurance, retirement plans, tuition benefits, ECO pass, paid time off - vacation, sick, and holidays and more. To see what benefits are available, please visit: https://www.cu.edu/employee-services/benefits-wellness.

Diversity and Equity:

The University of Colorado 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, persons within the LGBTQ+ community and all veterans. The University of Colorado is committed to diversity and equality in education and employment.

Qualifications:

Minimum Qualifications

Entry Level

• Bachelor's degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science or related field
  • A combination of education and related technical/paraprofessional experience may be substituted for the bachelor's degree on a year for year basis

Intermediate Level

• Bachelor's degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science or related field
  • A combination of education and related technical/paraprofessional experience may be substituted for the bachelor's degree on a year for year basis
• One year data management and bioinformatic analyses experience

Senior Level

• Bachelor's degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science or related field
  • A combination of education and related technical/paraprofessional experience may be substituted for the bachelor's degree on a year for year basis
• Two (2) years data management and bioinformatic analyses experience

Preferred Qualifications

• Master's degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science or related field
• Three (3) years of experience analyzing data using high-performance computing

Knowledge, Skills, and Abilities:

• Knowledge of basic statistical principles relevant in medical research
• Ability to analyze and solve complex problems and apply quantitative analytical approaches
• Demonstrated fluency in one or more programming languages (e.g., R, Python, Perl, Java, C++) and willingness to learn new programming languages as necessary
• Familiarity with statistical analytical concepts and methods
• Ability to communicate effectively, both in writing and orally
• Ability to establish and maintain effective working relationships with employees at all levels throughout the institution
• Outstanding customer service skills
• Demonstrated commitment and leadership ability to advance diversity and inclusion
• Knowledge of basic human anatomy, physiology medical terminology
• Ability to interpret and master complex research protocol information
• Data cleaning and analysis skills in R or SAS is preferred
• An interest in diabetes research is highly desirable
• Knowledge of continuous glucose monitoring and/or physical activity data preferred

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. Three to five professional references including name, address, phone number (mobile number if appropriate), and email address

Questions should be directed to: Janet Snell-Bergeon, Janet.Snell-Bergeon@cuanschutz.edu

Screening of Applications Begins:

Screening begins Immediately and continues until position is filled. For best consideration, apply by 1/15/2024.

Anticipated Pay Range:

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

Senior Level: $59,840- $76,116

Intermediate Level: $55,352 - $70,407

Entry Level: $50,864 - $64,699

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 may be eligible for overtime compensation, depending on the level.

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

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@cuanschutz.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.