Information Science Professional (Entry – Principal Level) - 32427 

University Staff 

Description

University of Colorado Anschutz Medical Campus

School of Medicine | Department of Medicine | Division of Geriatric Medicine

Job Title: Information Science Professional (Entry – Principal Level)

Position: #00819430 – Requisition: #32427

Job Summary:

The Division of Geriatrics is hiring multiple data analyst positions on a rolling basis. Selected candidates will support research teams of economists, physicians, and health services researchers in quantitative research using data sources including Medicare claims and survey data to study health and healthcare utilization among older adults. 

This role will create and analyze linked datasets to understand the relationships between financial behaviors and health and impacts of policy changes on the quality and efficiency of healthcare for the elderly. This role will also gain hands-on experience in many dimensions of health economics and health services research working on studies with immediate clinical and policy relevance. These positions will span the career development ladder, with options ideal for early career researchers considering PhD programs and other independent research careers and well as for more experienced researchers looking to lead analytic cores or research papers tied to larger projects. 

Some positions may work exclusively with deidentified commercial claims and/or survey data and be available for fully remote work. 

Key Responsibilities:

  • Clean and analyze administrative, survey, and health system data using econometric methods and techniques from health services research and data science.
  • Prepare tables and figures for papers, presentations, and grants.
  • Coordinate members of the study team and ensure regulatory compliance.
  • Prioritize work across multiple studies or deadlines.
  • Contribute to research manuscripts, grant applications, and presentations.
  • Senior/Principal Professionals will help to supervise and train more junior analysts.

Work Location:

Onsite – this role is expected to work onsite and is located in Aurora, Colorado.

Some positions may be eligible for remote or hybrid work, the employee must be in the United States. 

Why Join Us:

The University of Colorado School of Medicine is one of the best medical schools in the U.S., consistently ranked among the top in the nation. This position offers the opportunity to collaborate on a novel research agenda consistently highlighted in the popular media and publishing papers in high-profile economics and clinical journals. In addition to local collaborators, the study team includes researchers at leading US and international universities, facilitating connections to a number of departments for further study. These positions include tuition benefits, the potential to lead manuscripts or analytic cores, and mentorship in research, grant-writing, and career development, making them especially strong training options for those considering long-term research careers. 

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, 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 (1) 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.

Principal 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.
  • Three (3) years data management and bioinformatic analyses experience.

Applicants must meet minimum qualifications at the time of hire.

Preferred Qualifications:

  • Master’s degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science, or related field.
  • One (1) to four (4) years of experience analyzing data using high-performance computing.
  • Experience with econometric analysis using Stata.
  • Prior experience with supervision and training
  • Prior experience programming in Stata and other programs
  • Econometrics and related coursework/research experience
  • Familiarity with the US healthcare system
  • Interests in health policy, medicine, economics, machine learning especially for older adults.

Knowledge, Skills, and Abilities:

  • Advanced to expert knowledge of basic statistical principles relevant in medical research.
  • Advanced to expert 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, and medical terminology.
  • Ability to interpret and master complex research protocol information.
  • Data Management, programming, and analytical skills.
  • Ability to work with large datasets.
  • Ability to multitask.

How to Apply:

For full consideration, please submit the following document(s) saved as a single PDF document:

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: Sabrina Ferguson, sabrina.ferguson@cuanschutz.edu 

Screening of Applications Begins:

Applications will be accepted until finalists are identified, but preference will be given to complete applications received by April 1st, 2024. Those who do not apply by this date may or may not be considered.

Anticipated Pay Range:

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

Entry Level: $50,112 - $63,742

Intermediate Level: $54,534 - $69,367

Senior Level: $58,955 - $74,991

Principal Level: $67,799 - $86,240

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 accommodation 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. 

Application Materials Required: Cover Letter, Resume/CV, List of References 

Job Category

: Research Services 

Primary Location

: Aurora 

Department: U0001 -- Anschutz Med Campus or Denver - 20194 - SOM-MED-Geriatrics 

Schedule

: Full-time 

Posting Date

: Jan 22, 2024 

Unposting Date

: Ongoing 

Posting Contact Name: Sabrina Ferguson 

Posting Contact Email: sabrina.ferguson@cuanschutz.edu 

Position Number: 00819430

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Confirmed 21 hours ago. Posted 30+ days ago.

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