Description

UNIVERSITY OF COLORADO DENVER - ANSCHUTZ MEDICAL CAMPUS

Center for Health AI

Postdoctoral Fellow

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

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

Denver: https://www.ucdenver.edu/coronavirus

Exemptions vary by campus location/department.

Campus/Unit-Specific Exemptions:

• Anschutz Campus – Exemptions are allowed for medical or religious reasons.
• Consolidated/Central Services Administration – Will follow Anschutz policy on exemptions.

 

The University of Colorado 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.

The Greene Lab at the University of Colorado Denver l Anschutz Medical Campus welcomes applications for computational postdoctoral positions. The Greene lab's overarching goal is to transform how we understand complex biological systems by developing and applying computational algorithms that effectively model processes by integrating multiple types of big data from diverse experiments. Our goal is to then put these algorithms into the hands of biologists, through the development of usable web servers, the dissemination of successful applications, and the distribution of open source software.

Nature of Work:

The Greene Lab at the University of Colorado, Anschutz Medical Campus, seeks a full-time (1.0 FTE) Postdoctoral Fellow to carry out research in the area of computational biology. Postdocs in our lab contribute to the development of new analytical methods and/or the application of these methods to new datasets. Postdocs will have the opportunity to work with large collections of genomic data, both publicly available and from collaborative projects, and to extract testable biological hypotheses from these large collections. Research projects center around new computational methods to integrate genomic data as well as to incorporate additional environmental and phenotypic information with these genomic data. Postdocs are expected to contribute to the lab's culture of open scientific discovery and to share methodological advances and biological discoveries at both national and international venues.

Professional Field:

Biomedical Sciences

Supervision Received:

The postdoctoral fellow will report to Dr. Casey Greene, PhD. They will receive mentorship, direction and training in carrying out duties and responsibilities by the investigator.

Examples of Work Performed:

The responsibilities for this position include, but are not limited to, the following:

Designing and planning research projects.
• Writing software and analytical workflows to carry out specific experiments.
• Analyzing and interpreting research results.
• Maintaining effective communication with the investigator and other team members
• Keeping an organized record of research experiments and results on GitHub.
• Assisting in the training and mentoring of students and technicians.
Preparing manuscripts for publication in scientific journals.

Participating in lab meetings and attending scientific seminars and conferences.

Salary and Benefits:

The salary range (or hiring range) has been established at$70,000 - $70,000.

The salary of the finalist(s) 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 (or hiring 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 contact hr.adacoordinator@ucdenver.edu for information on disability accommodations

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.

The 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 investigations for all prospective employees.

Qualifications
Minimum Required Qualifications:

Graduation from an accredited college or university with a PhD/MD in a relevant science discipline

Preferred Knowledge, Skills, and Ablities:

The ideal candidate will have the following credentials:

A strong background in computer science, machine learning, statistics, genetics, bioinformatics, or closely related field and programming experience with attributable contributions to source code.
• A track record of scientific productivity and leadership and will strive for robust and reproducible analytical workflows.
• Experience handling large datasets in a UNIX/LINUX environment, experience with high performance cluster or cloud computing, and a knowledge of existing software packages used for machine learning.
• Excellent oral and written communication skills
Ability to work independently and effectively with others as part of a team.

Applicants must meet minimum qualifications at the time of hire

Job Category: Faculty
Primary Location: Aurora
Schedule: Full-time
Posting Date: Sep 22, 2021
Unposting Date: Ongoing