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University of Colorado Research Associate - Biostatistician/Data Scientist in Aurora, Colorado

Description

UNIVERSITY OF COLORADO

ANSCHUTZ MEDICAL CAMPUS

Colorado School of Public Health

Department of Biostatistics and Informatics

Center for Innovative Design and Analysis

RESEARCH ASSOCIATE

BIOSTATISTICIAN/DATA SCIENTIST

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

The University of Colorado l 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.

Nature of Work

The Colorado School of Public Health, Department of Biostatistics and Informatics (BIOS) and its partner Center, the Center for Innovative Design and Analysis (CIDA) have multiple openings for full time Research Associates. This is a doctoral level team science position and similar to team science track faculty positions at other institutions. CIDA is a campus wide analytics center charged with expanding the analytics expertise and research for the Anschutz Medical Campus. This person in this position will join over two dozen master’s and PhD trained faculty in CIDA and over three-dozen faculty and research personnel in the Department of Biostatistics and Informatics.

The work for this position is split between consulting, the Clinical and Translational Science Institute’s Biostatistics, Epidemiology, and Research Design Program, and major collaborative research groups. The Research Associate is a key research-faculty position in the Department. A Research Associate is expected to provide high-level, professional and scientifically rigorous biostatistics/data science consulting and collaboration support to biomedical researchers at CU Anschutz. They are expected to become a significant contributor in their collaborations, and partner to define and shape the research direction of the team. A person in this position works with investigators on the design and analytical aspects of the research process, including: design of new studies, structuring data collection systems, the application of state-of-the-art methodologies, analyses, and preparation of abstracts, oral and poster presentations, and scientific manuscripts. Depending on the particular collaborations interesting biostatistics/data science research opportunities may arise; although it is not the emphasis of the position.

The collaboration needs are varied ranging from design and analysis of 1) electronic health records and administrative data, 2) multi-‘omics data, and 3) general clinical research, including clinical trials. The individual will be presented with a mix of standard applications and new and challenging data requiring use of state-of-the-art methodologies and novel solutions. The desire to learn continuously and try new analytic approaches are key features of all faculty in CIDA.

The Colorado School of Public Health is a collaborative endeavor involving the University of Colorado Anschutz Medical Campus (CU Anschutz), Colorado State University (CSU), and the University of Northern Colorado (UNC). The Colorado School of Public Health is the first and only accredited school of public health in the Rocky Mountain Region, attracting top tier faculty and students from across the country, and providing vital contributions towards ensuring our region’s health and wellbeing. Collaboratively formed in 2008 by CU Denver, CSU and UNC, the Colorado School of Public Health provides training, innovative research and community service to actively address public health issues including chronic disease, access to healthcare, environmental threats, emerging infectious diseases, and costly injuries.

T he University of Colorado Anschutz Medical Campus is the only comprehensive academic health sciences center in Colorado, the largest academic health center in the Rocky Mountain region and one of the newest education, research and patient care facilities in the world. Currently home to 25,000 employees, more than 5,000 degree-seeking students and two nationally recognized hospitals that handle 1.7 million patient visits each year, CU Anschutz trains the health sciences workforce of the future, carries out a broad range of research, and cares for the state’s children, adults, and veterans. CU Anschutz features schools of medicine, pharmacy, dental medicine and public health, a college of nursing and a graduate school.

Supervision Received

The Research Associate position will be supervised by the CIDA Director. A Research Associate will work, in large part, independently and be linked with one or more large collaborations. The CIDA faculty, Scientific Collaborators, Chair of Biostatistics and Informatics and other faculty are available for mentorship and guidance.

Supervision Exercised

This position can have supervisory responsibilities with research instructors, PRAs, or graduate research assistants.

Examples of Work Performed

The Research Associate will work independently with investigators spanning the spectrum of biomedical and public health research on an academic health sciences campus. This individual will provide the biostatistical/data science expertise and leadership in study design, study oversight, data management, data analysis and manuscript preparation to assist all levels of biomedical investigators and clinicians on new research activities across a wide range of disciplines. The Research Associate will be expected to develop leadership roles in their collaborations and become known for their areas of expertise across the campus and region.

KNOWLEDGE, SKILLS, AND ABILITIES

  • Strong knowledge of basic statistical principles relevant in medical research.

  • Evidence of an ability to conduct methods research or investigate the validity of new methods in their area of study.

  • Evidence of developing data analysis techniques or pipelines and applying them in new situations.

  • Ability to analyze and solve complex problems and apply quantitative analytical approaches.

  • Strong programming skills in multiple languages including R, Python, SAS, or others.

  • Experience with high-performance computing environments.

  • Good organizational skills across individual projects, managing own workload.

  • Excellent written and verbal communication skills.

  • Positive attitude and the ability to work with a variety of biomedical investigators and colleagues.

  • Excellent problem-solving skills.

  • An innate desire to learn new methods and technologies and adapt to the demands of a fast paced and ever-evolving research environment.

  • Ability to contribute to the growth and development of the CIDA, their collaboration and the Department.

Salary and Benefits

The salary range for this position has been established at $93,000 to $110,000. The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, and area of expertise. The above salary 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 https://www.cu.edu/employee-services .

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

The University of Colorado 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.

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.

Diversity and Equity

Please click here for information on disability accommodations: https://www1.ucdenver.edu/offices/human-resources/employee-relations-performance/ada-compliance

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.

Qualifications

Required Qualifications

  • PhD degree in biostatistics, statistics, biomedical informatics, bioinformatics, computer science, mathematics or related fields at the start date of the position.

  • 1 year of consulting/collaborative experience in their graduate training or in a post-doctoral position.

Applicants must meet minimum qualifications at the time of hire.

Preferred Qualifications

  • 2 years of consulting/collaborative research experience

  • Evidence of independent or collaborative research through publications.

  • Experience in giving presentations and seminars at scientific meetings

  • Demonstrated ability to successfully lead the data analytic elements of clinical or translational research projects.

  • Demonstrated ability to successfully lead the computational elements of multiple research projects simultaneously.

Or Equivalent combination of education, training, and experience that provides the individual with the required knowledge, skills and abilities.

Job: Faculty

Primary Location: Aurora

Job Category Faculty

Department U0001 -- DENVER & ANSCHUTZ MED CAMPUS

Schedule Full-time

Posting Date Mar 10, 2021

Unposting Date Ongoing

Posting Number 00782119

Req ID: 20456

The University of Colorado does not discriminate on the basis of race, color, national origin, sex, age, pregnancy, disability, creed, religion, sexual orientation, gender identity, gender expression, veteran status, political affiliation, or political philosophy. All qualified individuals are encouraged to apply.

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