Job Details

University of Colorado Anschutz Medical Campus

Information Science Professional (Entry Senior Level) Data Simulation Modeling
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Position Number: 5941298
Location: Aurora, CO
Position Type: Science - Computer Science

Information Science Professional (Entry Senior Level) Data Simulation Modeling

Information Science Professional (Entry - Senior Level) - Data Simulation Modeling - 35960 University Staff Description

University of Colorado Anschutz Medical Campus

School of Medicine | Department of Medicine | Division of General Internal Medicine

Job Title: Information Science Professional (Entry - Senior Level) - Data Simulation Modeling

Position: #00793053 - Requisition: #35960

Job Summary:

The Division of General Internal Medicine at the University of Colorado School of Medicine is seeking a Research Services Information Science Professional. This position will be with the Barocas Lab, an innovative, interdisciplinary research program that is aimed at studying the intersection of infectious diseases, substance use disorders, and social determinants of health. This research program uses a combination of clinical epidemiology, simulation modeling, machine learning, and health economics to 1) improve health outcomes for vulnerable populations, 2) uncover structural factors that drive health inequities, and 3) inform health policy.

Housed within this lab are several highly innovative programs including 1) The Missing US Project, a multi-state project aimed at uncovering hidden populations and hidden risk factors for substance use and HIV and re-defining epidemiologic surveillance systems using a community-engaged approach, 2) The ReDUCE Project, which uses simulation modeling to understand cost-effective strategies to reduce infectious complications associated with substance use, 3) Fentanyl Felonization Study, a state-funded project to understand the health effects of criminal penalties for drug use, and 4) the Health Economics Core for the HEALing Communities Study, a large-scale, multi-state intervention study to reduce opioid overdose deaths by 40%.

A person in this position will work alongside the principal investigator, research manager and several team members in several states in the analytic aspects of the research including data management, advanced statistical analyses, and mainly simulation modeling. This is an open-rank recruitment; therefore, candidates are being considered at the entry, intermediate and senior levels depending on their qualifications.

Key Responsibilities:

Conduct deep and thorough review of subject literature.
Develop machine learning algorithms, natural language processing tools, and end user tools.
Use, modify, and run an established computer simulation model to perform clinical and cost-effectiveness analyses, including advanced Bayesian calibration approaches and probabilistic sensitivity analyses.
Import datasets into a variety of software applications including R, SAS, and python, perform data cleaning.
Analyze epidemiologic and administrative data using basic and advanced statistical methodologies; including regression modeling, survival analysis, causal inference, and propensity score matching; interpret results for investigators and prepare reports.
Interpret model results to draw conclusions about intervention sustainability and cost-effectiveness.
Write and edit manuscripts at various stages of development.
Assist with administrative tasks for the lab including but not limited to taking notes, scheduling/setting up zoom meetings, booking conference rooms for team meetings, assist with travel arrangements, managing project timelines, and submitting lab expenses for payment.

Work Location:

Hybrid - This role is eligible for a hybrid schedule of 2-3 days per week on campus and as needed for in-person meetings.

Why Join Us:

The Division of General Internal Medicine (GIM), established at the University of Colorado in 1977, was one of the first GIM divisions established within the United States. Building on a rich history and tradition, our GIM Division has undergone significant change and evolution to maintain our goal of being a national leader in patient care, medical education, and health services research.

We take our three-part mission of patient care, medical education, and researchseriously. Each of our affiliated institutions has its own unique medical care programs. These programs, when taken together, provide a wide breadth and depth of clinical experiences that allows our trainees to experience virtually all aspects of inpatient and ambulatory medical care.

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.

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, ethnically minoritized individuals, persons with disabilities, persons within the LGBTQ+ community and all veterans. In addition, the Anschutz Campus has also been recognized as an Age-Friendly University. 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, Epidemiology or related field.

Intermediate Level:

Bachelor's degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science, Epidemiology or related field
One (1) year professional data management and bioinformatic analyses experience

Senior Level:

Bachelor's degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science or related field
Two (2) years professional data management and bioinformatic analyses experience
- A combination of education and related technical/paraprofessional experience may be substituted for the bachelor's degree on a year for year basis. A master's degree in a directly related field from an accredited institution may be substituted for up to two (2) years of 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, Epidemiology, Public Health or related field.
One to four (4) years of experience analyzing data and data modeling using high-performance computing.
Experience in foundations of epidemiology.
Experience with C++, python.
Experience serving vulnerable populations.

Knowledge, Skills, and Abilities:

Knowledge of basic statistical principles relevant in medical research.
Database software expertise (proficient or advanced) including but not limited to R, STATA, or SAS,
and RedCap, SQL.
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.
Basic knowledge of advanced mathematics (such as calculus).
Familiarity with statistical analytical concepts and methods.
Demonstrated passion for research focused on vulnerable populations.
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.
Ability to work independently.
Demonstrates a desire to learn in the workplace and support growth within the lab.

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: Patricia Colella, GIM HR, patricia.colella@cuanschutz.edu

Screening of Applications Begins:

Immediately and continues until January 24^th, 2025.

Anticipated Pay Range:

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

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

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

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

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.
Application Materials Required: Cover Letter, Resume/CV, List of References Job Category
: Research Services Primary Location
: Hybrid Department: U0001 -- Anschutz Med Campus or Denver - 20209 - SOM-MED-GIM Schedule
: Full-time Posting Date
: Jan 17, 2025 Unposting Date
: Jan 25, 2025, 6:59:00 AM Posting Contact Name: Patricia Colella Posting Contact Email: patricia.colella@cuanschutz.edu Position Number: 00793053

To apply, visit https://cu.taleo.net/careersection/2/jobdetail.ftl?job=35960&lang=en