This job has expired

Open Rank - Instructor/Senior Instructor - Data Analyst

Employer
University of Colorado Anschutz Medical Campus
Location
Denver, CO

View more

Faculty Jobs
Health & Medical, Medical Research, Medicine
Employment Type
Full Time
Institution Type
Four-Year Institution
You need to sign in or create an account to save a job.
Description
University of Colorado | CU Anschutz Medical Campus

Department of Family Medicine

Statistcal/Data Analyst

Instructor/Sr. Instructor

 

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

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

Exemptions vary by campus location/department.

Campus/Unit-Specific Exemptions:

  • Anschutz Campus – Exemptions are allowed for medical or religious reasons.
  •  Consolidated/Central Services Administration – Will follow Anschutz policy on exemptions.
The University of Colorado Anschutz Medical Campus 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.

Mission, Vision and Values

The mission of the Anschutz Medical Campus (AMC) is to be a diverse teaching and learning community that creates, discovers, and applies knowledge to improve the health and well-being of Colorado and the world. Anschutz Medical Campus is focused on educating upcoming medical professionals, conducting groundbreaking research, practicing innovative approaches to health care delivery and providing excellent direct patient care at two hospitals. Located on AMC, the School of Medicine hosts a globally recognized array of departments, institutes and centers dedicated to educating the next generation of medical professionals.

Among these is the Department of Family Medicine (DFM) which is dedicated to “helping people be healthier" by educating, nurturing, fostering, and enhancing those in the field of family medicine and the communities we live in and serve. The Department of Family Medicine has five (5) focus areas, each with specific goals:

  • Patient Care – Providing outstanding care to patients;
  • Education – Training the family medicine and primary care workforce;
  • Research – Creating and disseminating new knowledge;
  • Communities - Connecting with our communities to achieve health equity; and
  • Diversity & Health Equity - To build and foster a diverse and inclusive team that reflects the communities we serve.
The Statistical/Data Analyst provides research support to principal and co-investigators (PIs and Co-Is), research projects, and departmental analytical projectsby ensuring data quality, preparing analytic plans, conducting analyses, disseminating results, providing project management and coordinating other research tasks.

Position Duties

    Writes statistical programs in SAS (or other statistical software) to analyze data collected from various research projects.Designs reports, runs advanced queries and develops data transformations in existing database systems to support data interpretation, reporting and systems conversions, including management of data integrity and accuracy.Conducts complex statistical analyses, under the guidance of a senior biostatistician, including advanced methods (e.g., multilevel and longitudinal mixed effects models, multiple linear and logistic regression, and survival analysis). Reports results, using a variety of statistical databases, spreadsheets, slide presentations and graphics software, consulting with the senior biostatistician as needed.Consults with PIs and Co-Is on the design and implementation of data collection for research projects.Under the direction of a senior biostatistician, assists with power and sample size calculations and developing the analytic plans, including defining outcome variables and covariates to be used, and determining the most appropriate statistical methods to use.Manages data files that are derived from data collection. Maintains and monitors data quality to identify and repair problems in data systems.Produces tables and figures for manuscripts, presentations and grant proposals.
    Assists with the writing of the methods and results sections of papers, proposals and presentations. May attend and/or present methodological study findings at professional/scientific meetings. Actively participates in educational forums, e.g., statistical seminars, SAS classes, mixed methods group meetings.Under the direction of PIs, manages activities, timelines, reports and other study needs. Coordinates and collaborates with PIs, primary care providers, staff, and other partners to ensure projects are meeting established goals and timelines. Assists with preparing project modifications, amendments and progress reports.
Supervision Exercised:

May provide supervision, education, and guidance to professional research assistants, postdoctoral fellows, graduate students, residents, and interns.

Salary and Benefits:

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

Instructor : $85,000 - $100,000

Senior Instructor: $90,000 - $105,000

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.

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 contact [email protected] for information on disability accommodations

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.

The 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 investigations for all prospective employees.

 

 



Qualifications
Minimum Qualifications:

Instructor

    Master’s degree in statistics, biostatistics, or related field.Minimum two years’ SAS programming experience.Two years’ experience in research/evaluation, including experience with various research methods, data collection, data management and analysis.
Senior Instructor

    Master’s degree in statistics, biostatistics, or related field.Minimum two years’ SAS programming experience.Three years’ experience in research/evaluation, including experience with various research methods, data collection, data management and analysis.
Preferred Qualifications (all ranks)

    PhD or currently pursuing a PhD in statistics, biostatistics, or related field.Two+ years of research experience in healthcare and especially primary care.Two+ years of experience analyzing health care claims data.Two+ years of experience analyzing electronic medical record data.Five years’ research/evaluation experience.
Competencies/Knowledge, Skills & Abilities (all ranks):

    Knowledge of quantitative analytic methods. Ability to analyze large complex datasets.Experience applying inferential statistics, research design principles, data quality assurance approaches and survey research designs. Excellent computer skills, particularly with Microsoft Office software (Word, Excel, Access, Power Point, and Outlook), and SAS.Versatility and the ability to operate effectively and efficiently according to the needs and demands of concurrent projects and deadlines.Demonstrated interpersonal communication skills, and able to maintain diplomacy with all collaborating partners.Strong problem-solving, analytical and decision-making skills; ability to independently analyze and resolve complex problems as well as self-directed work capabilities.Excellent written and verbal communication skills. Strong work ethic including responsiveness to colleagues, attention to detail, and productivity
  • Ability to cultivate and advocate for an environment of diversity, equity and inclusion based on the position's responsibilities.
  • Ability to work with accuracy and attention to detail.
  • Ability to work independently and in virtual environment.
Applicants must meet minimum qualifications at the time of hire.



Job Category: Faculty
Primary Location: Aurora
Schedule: Full-time
Posting Date: Sep 23, 2021
Unposting Date: Ongoing
You need to sign in or create an account to save a job.

Get job alerts

Create a job alert and receive personalised job recommendations straight to your inbox.

Create alert