From listmaster animalgenome.org Tlistmaster May 25 16:13:57 2023
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From: "Liu, George - REE-ARS" <george.liuusda.gov>
Postmaster: submission approved by list moderator
To: Members of AnGenMap <angenmapanimalgenome.org>
Subject: Research Computational Biologist position at USDA
Date: Thu, 25 May 2023 16:13:57 -0500
Job description
Research Computational Biologist (Postdoctoral Research Associate)
GS-11, $78,592–$102,166/year, up to 2 years full-time (open until filled)
Research Project: The U.S. Department of Agriculture - Agricultural Research
Service (USDA ARS) mission involves problem-solving research in the widely
diverse food and agricultural areas encompassing plant production and
protection; animal production and protection; natural resources and
sustainable agricultural systems; and nutrition; food safety; and quality.
The programs are conducted in 46 of the 50 States, Puerto Rico, and the U.S.
Virgin Islands. For ARS to maintain its standing as a premier scientific
organization, major investments in computing, networking, and storage
infrastructure are required. Training in data and information management are
integral to the integrity, security, and accessibility of research findings,
results, and outcomes within the ARS research enterprise. Nearly 2000
scientists and support staff conduct research within the ARS research
enterprise.
This position is located in the United States Department of Agriculture
(USDA), Agricultural Research Service, Beltsville Agricultural Research
Center, Animal Genomics and Improvement Laboratory, in Beltsville, MD.
Research will focus on development of bioinformatics and genomics tools to
characterize the structure and function of the bovine genome and then
application of those datasets to accelerate genetic improvement and discover
genetic variation affecting economically important traits.
Major duties include but are not limited to:
* Developing and customizing pipelines for automation of data processing
required for discovering genetic (e.g., SNP, CNV) and epigenetic (e.g., DNA
methylation) variations as well as functional elements (e.g., enhancers and
promoters) using short- and long-read sequencing in cattle.
* Developing better statistical methods to improve association studies with
QTL and enhancing genetic prediction tools for automation of data
processing required for SNP use in livestock selection programs.
A Ph.D. degree in genetics, bioinformatics, computational biology,
statistics, computer science, or a closely related field is required and must
have been obtained no more than 4 years prior to appointment start date.
Knowledge and understanding of genome assembly, population genetics,
statistical genetics, complex trait mapping, and high throughput sequencing
genome and programming proficiency in R, Python, Perl, C/C++, Java, and SAS
are highly desirable. Preference will be given to candidates with a strong
publication record, evidence of substantial research productivity, and
ability to communicate scientific information successfully.
Benefits include annual and sick leave, within-grade increases, health and
life insurance, and retirement.
This position is open only to U.S. citizens, U.S. nationals, or lawful
permanent residents who meet the criteria outlined in 8 U.S.C.1324b(a)(3)(B).
To apply, send your resume/CV, statement of interest, Ph.D. transcripts,
1-page dissertation abstract, and 2 references to:
Dr. George Liu
USDA-ARS-AGIL
10300 Baltimore Ave.
BARC-East
Beltsville, MD 20705-2350
USDA is an equal opportunity provider and employer.
Job Type: Full-time
Salary: $78,592.00 - $102,166.00 per year
Benefits:
• Flexible schedule
• Health insurance
• Life insurance
• Retirement plan
Schedule:
• Monday to Friday
Application Question(s):
• This position is open ONLY to U.S. citizens, U.S. nationals, or lawful
permanent residents who meet the criteria outlined in 8 U.S.C.
1324b(a)(3)(B). Your Ph.D. degree should have been obtained no more than 4
years (can be flexible) prior to appointment start date.
Education:
• Doctorate (Required)
Experience:
• Computer skills: 1 year (Preferred)
Work Location: In person
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