Post-Doctoral Fellow

Job description

Description
UNIVERSITY OF COLORADO

ANSCHUTZ MEDICAL CAMPUS

Colorado School of Public Health

Department of Biostatistics and Informatics

Postdoctoral Fellow

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 Department of Biostatistics and Informatics, Colorado School of Public Health, is seeking a two-year post-doctoral fellow in causal inference, available to start immediately.

The focus of this position will be the development and implementation of novel statistical and computational methods motivated by potential applications to observational studies. The work will involve both methodological research with biostatistics faculty and collaboration with biomedical investigators. The incumbent will report directly to Drs. Debashis Ghosh and Fan Yang. The University of Colorado Anschutz Medical Campus is a highly collaborative campus, and the particular collaborative direction will depend on the interests of the applicant. 

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.

The 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 incumbent will report directly to Drs. Debashis Ghosh and Fan Yang.

Examples of Work Performed

 Research (70%)

    Data managementStatistical methods developmentExploratory data analysisBioinformatics analysis
Statistical computing (10%)

    package development
Research results (20%)

    Presentations at conferencesManuscript preparation
Salary and Benefits

The salary range has been established at $53,760 to $56,000. 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, specialty, and training.

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 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 click here for information on disability accommodations: http://www.ucdenver.edu/about/departments/HR/jobs/Pages/JobsatCUDenver.aspx 

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
Minimum Qualifications:

    PhD/ ScD from an accredited college or university in statistics, biostatistics, computer science or related field at the start of the postdoc.2 years’ background in causal inference methods (e.g., coursework or research on propensity scores, matching, inverse weighting methods and/or related topics).Minimum of 2 year(s) of experience in statistical software such as R, Matlab, Python or equivalent.
Preferred Qualifications:

    Experience with development of R packages or other software.Knowledge of genetics and genome-wide association studies.Knowledge of high-dimensional data analysis (machine learning methods).
Applicants must meet minimum qualifications at the time of hire.



Job Category: Faculty
Primary Location: Aurora
Schedule: Full-time
Posting Date: Feb 5, 2021
Unposting Date: Ongoing

 

 

 

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Job No:
Posted: 2/7/2021
Application Due: 5/8/2021
Work Type: Full Time
Salary: