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Postdoctoral Scholar - Bioinformatics/Biomedical Data Science
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Position Number: 2716122
Location: Reno, NV
Position Type: Science - Biochemistry and Molecular Biology

Postdoctoral Scholar - Bioinformatics/Biomedical Data Science

R0127900
University of Nevada, Reno - Main Campus

The University of Nevada, Reno (UNR) appreciates your interest in employment at our growing institution. We want your application process to go smoothly and quickly. Final applications must be submitted prior to the close of the recruitment.

If you need assistance or have questions regarding the application process, please contact our recruitment helpline at (775) 784-1495 or jobs@unr.edu. For UNR Med professional job postings, please contact the Office of Professional Recruitment at (775) 784-6778.

Job Description

The Bioinformatics Center at the University of Nevada, Reno is seeking to hire a Postdoctoral Scholar to join our team, available immediately. We are accepting applications from talented and enthusiastic candidates who are interested in joining an integrated and diverse team of scientists to support a broad spectrum of research projects. unr.edu/bioinformatics

Job Duties

As the center is growing and expanding to support a variety of omics research, we are actively seeking a talented postdoctoral fellow, who is interested in bioinformatics, genomics, transcriptomics, proteomics, multi-omics and/or related fields, to join our team and help us expand our supported services and research fields. The postdoctoral fellow will assist on selected ongoing projects and is encouraged to learn cutting-edge technologies and to explore new research areas. Applications to NIH/NSF grants and fellowships will be highly encouraged. The center supports a variety of career paths and as such the postdoctoral fellow will be mentored by at least two faculty, the director of the center and one academic tenure-track faculty.

The postdoctoral fellow will work on high-dimensional multi-omics data sets, for example WGS, WES, RNA-seq, scRNA-seq, proteomics and /or metagenomics. They will work closely with experimental life scientists to develop tools and analyze genomic (e.g., RNA-Seq, ChIP-seq, scRNA-seq) and epigenetic (PTM and DNA methylation) data using novel and previously published NGS datasets. As a team, the center performs integrated multi-omics, statistical, and bioinformatics analyses applied to a variety of scientific problems. The postdoctoral fellow will have access to training opportunities.

The postdoctoral fellow is expected to perform bioinformatics related research and develop analysis pipelines and relevant software programs in collaboration and under the supervision of the center's director and an academic faculty mentor. The postdoc fellow is expected to publish their own research outcomes and to help other researchers in preparing manuscripts. They will be encouraged to improve their teaching skills by training and organizing workshops for undergraduate and graduate students as well as for research faculty.

The ideal candidate will demonstrate a commitment to excellence in research, teaching, and mentoring conducted in a dynamic academic core environment.

Minimum Qualifications & Skills

PhD or equivalent in bioinformatics, computational sciences, statistics or related field by time of appointment

3+ years of Python or R programming experience

Experience in bash/shell scripting and Linux environment (Ubuntu), applied statistics, high-dimensional omics data analytics for at least one type of omics

Excellent writing skills and independent and critical thinking ability

Preferred Qualification & Skills

A strong scientific publication record

Strong quantitative/computational biology background

Advanced computing skills, e.g., HPC, cloud

Familiarity with data mining/data science

Experience in teaching academic courses and/or workshops

Experience with grant proposals, e.g., NIH, NSF, DOE

Collaborative and detailed-oriented

Compensation Grade

Postdoctoral Scholar

Salary Schedules

Total Compensation

The total compensation package includes a competitive salary, moving allowance (if applicable), a rich retirement plan, health insurance options that include dental and vision, life insurance, long-term disability, annual and sick leave, along with many other benefits. For more information, please visit: UNR Benefits

Faculty Dual Career Assistance Program

The University of Nevada, Reno recognizes the importance of addressing dual-career couples' professional needs. We offer a dual career assistance program to newly hired faculty spouses/partners that provides resources and assists them to identify career opportunities in Northern Nevada. Dual Career Assistance Program

Exempt
Yes

Full-Time Equivalent
100.0%

Required Attachment(s)

Please note, once you submit your application the only attachment/s viewable to you will be the attachment/s to the resume/CV section of the application. Any additional required attachment/s to the cover letter, references, additional documents sections of the application, will not be viewable to you after you submit your application. All uploaded attachment/s will be on the application for the committee to review. To request updates to attachments, prior to the committee review of applications, please contact the candidate helpdesk at jobs@unr.edu.

Attach the following attachments to your application

1) Resume/CV

2) Cover Letter addressing personal research and career interests

3) Contact Information for Three Professional References

4) Please write a brief statement (one page maximum) about how you would contribute toward our mission of creating a culturally inclusive environment in the role for which you are applying.

This posting is open until filled

Qualified individuals are encouraged to apply immediately. This search will close without notice when a sufficient number of applications are received or a hiring decision has been made.

Posting Close Date

Note to Applicant

A background check will be conducted on the candidate(s) selected for hire.

HR will attempt to verify academic credentials upon receipt of hiring documents. If the academic credentials cannot be verified, HR will notify the faculty member that an official transcript of their highest degree must be submitted within thirty days of the faculty member's first day of employment.

References will be contacted at the appropriate phase of the recruitment process.

Applicants hired on a federal contract may be subject to E-Verify.

As part of the hiring process, applicants for positions in the Nevada System of Higher Education may be required to demonstrate the ability to perform job-related tasks.

For positions that require driving, evidence of a valid driver's license will be required at the time of employment and as a condition of continued employment.

Schedules are subject to change based on organizational needs.

University of Nevada, Reno

To apply, visit https://nshe.wd1.myworkdayjobs.com/en-US/UNR-external/job/University-of-Nevada-Reno---Main-Campus/Postdoctoral-Scholar---Bioinformatics-Biomedical-Data-Science_R0127900-1

Founded in 1874, the University of Nevada, Reno is the State of Nevadas land grant institution with a statewide mission and presence. The University of Nevada, Reno is a Carnegie I Research Institution and has been recognized as a "Top Tier" Best National University by U.S. News & World Report. With an enrollment of nearly 21,000 students we offer 145 Tier 1 accredited degree programs. Located in the picturesque Truckee Meadows the University of Nevada, Reno is surrounded by numerous state and national parks, is 45 minutes from beautiful Lake Tahoe, and four hours from San Francisco.

The University of Nevada, Reno recognizes that diversity promotes excellence in education and research. We are an inclusive and engaged community and recognize the added value that students, faculty, and staff from different backgrounds bring to the educational experience.

The Nevada System of Higher Education (NSHE) is committed to providing a place of work and learning free of discrimination on the basis of a persons age, disability, whether actual or perceived by others (including service-connected disabilities), gender (including pregnancy related conditions), military status or military obligations, sexual orientation, gender identity or expression, genetic information, national origin, race, or religion.