Postdoc/Research Associate in Computational genomics

University of Nevada, Las Vegas
Nevada Institute of Personalized Medicine
United StatesNVLas Vegas


The University of Nevada, Las Vegas invites applications for Postdoctoral Scholar of Computational Genomics, Nevada Institute of Personalized Medicine (NIPM), College of Sciences [R0129979]


Founded in 1957, UNLV is a doctoral-degree-granting institution comprised of approximately 30,000 students and more than 3,600 faculty and staff. To date, UNLV has conferred more than 152,000 degrees, producing more than 130,000 alumni around the world. UNLV is classified by the Carnegie Foundation for the Advancement of Teaching as an R1 research university with very high research activity. The university is committed to recruiting and retaining top students and faculty, educating the region's diversifying population and workforce, driving economic activity through increased research and community partnerships, and creating an academic health center for Southern Nevada that includes the launch of a new UNLV School of Medicine. UNLV is located on a 332-acre main campus and two satellite campuses in Southern Nevada.

Here at UNLV, we have come together and created one of the most affirmative and dynamic academic environments in the country. UNLV sits in the top spot in U.S. News & World Report’s annual listing of the nation’s most diverse universities for undergraduates. The university has ranked in the top ten since the rankings debuted more than a decade ago. We continue to show our commitment to serving our wonderfully diverse population and building the future for Las Vegas and Nevada.

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The successful candidate will demonstrate support for diversity, equity and inclusiveness as well as participate in maintaining a respectful, positive work environment.


Nevada Institute of Personalized Medicine (NIPM) is the only established NIH-endorsed Center of Excellence in Nevada. The mission of NIPM is to improve individual and community health in Nevada and to accelerate the adoption of advanced genomics for the entire state healthcare systems. NIPM will accomplish this through research and technology commercialization, community outreach, independent clinical research and genetic testing, and education and training for expanded Nevada job creation.


The University of Nevada Las Vegas offers a generous annual and sick leave package, medical and dental benefits, supplemental voluntary benefits, tuition assistance, and wellness programs. Visit our benefits page for a full listing.



A postdoctoral position is available immediately in Dr. Qian Liu's lab ( in NIPM, University of Nevada, Las Vegas (UNLV). Dr. Liu's lab focuses on the development of cutting-edge deep learning methods in human diseases (such as schizophrenia and lupus) for the study of genomics, epigenomics, transcriptomics and epi-transcriptomics. A postdoctoral scholar in Dr. Liu's lab will work on the method implementation and biomarker detection for the NIH COBRE project (Identification of novel methylation biomarkers in schizophrenia).

The successful candidate will
• Design novel computational approaches for third-generation sequencing data analysis
• Develop state-of-the-art computational platforms for biomarker detection in schizophrenia
• Deliver computational tools with well-crafted and maintainable code
• Communicate findings through presentations, abstracts and publications on a regular basis
• Participate in project planning and evaluation of data
• Work with graduate and undergraduate students in the lab
• Receive training for an independent career


This position requires a Ph.D. from a regionally accredited college or university in Computer Science, Bioinformatics, Computational Biology, Genomics, Biostatitics, or related fields. Credentials must be obtained prior to the start of employment. Other requirements include
> Strong hands-on skills with one of programing language (e.g. Python, C/C++, Java, etc)
> Proficiency in communicating ideas and presenting complicated analyses
> Strong communication skills and ability to collaborate with others
> Willing to learn machine learning/deep learning algorithms.
> Passion for proposing/implementing computational algorithms with genomics/transcriptomics data.

> Expertise with the development of deep learning approaches (e.g. Tensorflow, PyTorch) is a strong plus
> Experience with DNA and RNA sequencing analysis especially Nanopore sequencing is a strong plus
> Bash/shell scripting and proficiency with Linux operating systems is a plus
> Proficiency with handling large-scale genomic data in a Linux is a plus

Start date

As soon as possible

How to Apply

Please apply via