Information Science Research Professional (Entry – Senior Level) – Internal Medicine

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, and 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 and several team members in several states in the analytic aspects of the research including data management, advanced statistical analyses, and simulation modeling.

Key Responsibilities:

• Conduct deep and thorough review of subject literature
• Import datasets into a variety of software applications including R, SAS, and python, perform data
• cleaning
• Develop machine learning algorithms, natural language processing tools, and end user tools
• Develop and interpret MCMC models; develop meta-models
• 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

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 research​ seriously. 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.

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

Intermediate Level

• Bachelor’s degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science 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

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 in foundations of epidemiology
• Experience with C++, python

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
• 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

How to Apply:

For full consideration, please submit the following document(s):

Questions should be directed to: Patricia Colella at [email protected]

Screening of Applications Begins:

Immediately and continues until the position has been filled.

Anticipated Pay Range:

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

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

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

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

The above 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 [email protected] ​.

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:

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

Unit-Specific Exemptions:

• Anschutz Campus – Accommodations may be granted for medical or religious reasons.

The University of Colorado 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.