Post-Doctoral Fellow

Job description

Description

UNIVERSITY OF COLORADO - Colorado School of Public Health

Department of Biostatistics and Informatics

Center of Innovative Design and Analysis

 

POSTDOCTORAL FELLOW

 

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

The University of Colorado Denver 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 WorkThe Department of Biostatistics and Informatics Colorado School of Public Health is seeking a full-time postdoctoral fellow in imaging genetics/genomics. The position is 2 years with the possibility of extension and available to start immediately. The focus of this position will be the development and implementation of novel statistical and computational methods using Bayesian approaches to integrate lung imaging and genetic/genomic data. The work will involve both methodological research with biostatistics faculty and collaboration with biomedical investigators.

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 ReceivedThe individual will report directly to Dr. Nichole Carlson, but also work collaboratively with Dr. Katerina Kechris and Dr. Debashis Ghosh.

 

Supervision Exercised

The individual may provide informal supervision to graduate students on the project that report to Dr. Nichole Carlson.

 

Examples of Work Performed

Research (60%)

  • Data management
  • Exploratory data analysis
  • Statistical methodology development
  • Image analysis
  • Bioinformatic analysis
  • Application of supervised and unsupervised learning in a complex setting.
Statistical computing (20%)

  • Custom coding of Bayesian estimation algorithms
  • R package development
Research results (20%)

  • Presentations at conferences
  • Manuscript preparation
 

Knowledge, Skills and Abilities
  • Knowledge: statistics, image analysis, genetic analysis, genomic analysis, machine learning
  • Skills: data management, data pre-processing, exploratory data analysis, data visualization
  • Abilities: proficiency in C++, python, or other programming language, R package development, high performance computing, strong written and oral communication
 

Salary and BenefitsThe salary for this position has been established at $54,000. 

The above salary rate represents the University’s good faith and reasonable estimate of the rate 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: 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/ScD from an accredited college or university in statistics, biostatistics, computer science or related field at the start of the postdoc
  • Background in statistics and Bayesian methods
  • Minimum of 2 years of experience in statistical software R, Python, or equivalent.
Applicants must meet minimum qualifications at the time of hire.

 

Preferred Qualifications

  • Experience with imaging data.
  • Development of R packages or other software
  • Experience with machine learning approaches
  • Experience with high dimensional biological data analysis
  • Excellent communication skills, written and oral.
  • The ability to work independently on data analysis and research.


Job Category: Faculty
Primary Location: Aurora
Schedule: Full-time
Posting Date: Mar 18, 2021
Unposting Date: Ongoing

 

 

 

Diversity Profile: University

 

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Job No:
Posted: 3/24/2021
Application Due: 6/22/2021
Work Type: Full Time
Salary: