The Scientific Reporters

Exploring Science

Jobs

Postdoc position in Bioinformatics at NIPM

Deadline: December 31, 2020

Location: United States (US), Las Vegas

JOB DETAILS

The University of Nevada, Las Vegas invites applications for a Bioinformatics, Postdoctoral Research Fellow, UNLV Nevada Institute of Personalized Medicine (NIPM) [R0116338]

ROLE & RESPONSIBILITY OF POSITION

A postdoctoral position in bioinformatics is available in Dr. Qing Wu’s lab in the Nevada Institute of Personalized Medicine at the University of Nevada, Las Vegas. The Nevada Institute of Personalized Medicine was just awarded an $11.4M, 5-year Center of Biomedical Research Excellence P20 Grant from NIH in personalized medicine.

The successful candidate will play a key role in development of research plans, execution, and analysis of projects involving “big data” including electronic medical records, GWAS data, and Federal-funded large cross-sectional data and cohort data. The successful candidate will assist the PI to conduct research including machine learning and statistical modeling, GWAS data imputation and analysis, deep learning and big-data analysis related to personalized medicine in a collaborative medical research setting. In addition, the successful candidate will have the opportunity to be promoted to a research faculty.

The successful candidate will work in collaborative teams, both on and off campus, to address critical health and medical issues in the community. These issues include access and affordability of health care and the prevalence of diseases such as osteoporosis, cancer, and diabetes. There are opportunities to collaborate with partners with unique capabilities, such as the Cleveland Clinic Lou Ruvo Center for Brain Health, the Comprehensive Cancer Centers of Nevada, and the Veteran’s Administration Hospital.

QUALIFICATIONS REQUIRED

A minimum of a Doctoral degree (e.g., Ph.D.) is required in bioinformatics, informatics, biostatistics, statistics, computer sciences or a relevant discipline. Additional postdoctoral training in corresponding fields is preferred, but not required. Credentials must be obtained prior to the start of employment.

· Proven computational skills, programming skills (Python, C/C++, and R), and experience in performing data analyses of NGS data are required.

· Practical experience in genomic data management, high-dimension data analysis is required.

· Knowledge and experience in SAS programming, data analysis and statistical modeling are required.

The successful candidate will have good communication, leadership, writing, and organizational skills and proven ability to work within a team environment. The successful candidate should have strong publication record.

PREFERENCES

· Experience in machine learning and big data analysis is preferred.

· A background in public health, medicine, biology or a related area of health is preferred.

· Research experience in osteoporosis, fracture and bone density is preferred but not required.

SALARY DETAILS

Salary is commensurate with the NIH Postdoctoral stipend level. Position is contingent upon funding.

EEO/AA STATEMENT

UNLV is an Equal Opportunity / Affirmative Action educator and employer committed to achieving excellence through diversity. All qualified applicants will receive consideration for employment without regard to, among other things, race, color, religion, sex, age, creed, national origin, veteran status, physical or mental disability, sexual orientation, genetic information, gender identity, gender expression, or any other factor protected by anti-discrimination laws. The University of Nevada, Las Vegas employs only United States citizens and non-citizens lawfully authorized to work in the United States. Women, under-represented groups, individuals with disabilities, and veterans are encouraged to apply.

Materials should be addressed to Dr. Qing Wu, Search Committee Chair, and are to be submitted online as we do not accept emailed materials. For assistance with the application process, please contact UNLV Human Resources at (702) 895-3504 or [email protected]

To apply mail please send your application to [email protected]

Share
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  

LEAVE A RESPONSE

Your email address will not be published. Required fields are marked *