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Postdoctoral Research Associate

Job Description

Requisition Details

EEO Statement:
UNMC is an Affirmative Action Equal Employment Opportunity Employer, including an equal opportunity employer of protected veterans and individuals with disabilities.
Location Omaha, NE
Requisition Number: 2023-109
Department Genetics Cell Biology & Anatomy 50000507
Business Unit(College/Institute) College of Medicine
Reg-Temp Full-Time Regular
Work Schedule 8:00am - 5:00pm
Requisition Category Research - Academic
Requisition Title Postdoctoral Research Associate
Job Title/Academic Rank Postdoctoral Research Associate
Additional Requisition Title
Appointment Type A1 - REG OTHER ACAD SAL
Salary Range Salary Commensurate with Experience
Job/EEO Category Professional Non-Faculty (Includes Other Academic)
Job Requisition Begin Date 03/31/2023

Position Qualification

Position Summary
The Department of Genetics, Cell Biology and Anatomy at the University of Nebraska Medical Center is seeking a POST DOCTORAL RESEARCH ASSOCIATE to pursue exciting research in Bioinformatics and Machine Learning. The incumbent will apply machine learning and deep learning tools to integrate, analyze, and correlate multi-omics data generated from genomic, epigenomic, transcriptomic and proteomic, and crystallography experiments, write manuscripts and assist in grant writing. Additional opportunities to teach and mentor graduate students are available. Dr. Babu Gudaís computational biology laboratory offers interactive environment and resume building opportunities through collaborations and co-authorships on a wide array of research projects associated with the analysis of genomic big data.
Required Qualifications
Ph.D. in Bioinformatics, Computer Science or in a related field with strong and relevant publication record. Excellent programming skills in Perl/Python and R are required.
Supplemental Qualifications
Working knowledge of Linux-based systems, high-performance computing (HPC), machine learning packages such as Scikit and Keras, next-generation sequencing data analysis, web programming, and relational databases is preferred. Prior training in life sciences research and training in statistics would be a plus.

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