Tag Archives: california

Research Microbiologist at USDA-ARS (UC Davis)

 

Research Microbiologist, USDA-ARS

A new Research Microbiologist position is available with the USDA-ARS located on the campus of the University of California, Davis.  The successful candidate will conduct independent research to discover and develop novel fumigation independent approaches to control soil-borne pathogens.  This work will focus on developing an understanding of the ecological, structural and functional aspects of the soil-borne microbial communities shown to suppress target pathogens.  Applicants with a strong computational biology/metagenomics background are encouraged to apply.  We would greatly appreciate it if you would forward this announcement to prospective candidate(s) for their consideration.  The position announcement can be found at https://www.usajobs.gov/GetJob/ViewDetails/405228600

This is a competitive, permanent appointment and U.S. citizenship is required.  For further details about this position and how to apply, go to the vacancy on-line at:  www.USAJobs.gov  vacancy announcement number ARS-D15W-0129 (all US citizens) or ARS-M15W-0128 (Current federal employees).  For questions contact: Dr. Daniel Kluepfel, Research Leader at daniel.kluepfel@ars.usda.gov

Job: Assistant Prof Bioinformatics at UC Riverside

University of California, Riverside
POSITION ANNOUNCEMENT:
ASSISTANT PROFESSOR OF BIOINFORMATICS

POSITION: The University of California, Riverside is searching for a new faculty member at the ASSISTANT PROFESSOR level in the area of Bioinformatics. Areas of preferred interest include developing and deploying methods for genomic data analysis such as variant identification, transcriptomics, genome assembly, comparative genomics. An emphasis on development and application of statistical methods and software to next generation sequencing data and large dataset analysis is desired. However, candidates developing approaches for analysis of metabolomic, proteomic, image analysis for biological systems are also in the scope of the position. Candidates employing experimental data collection as well as computational methods are welcomed. Study systems that address research in plant, animal, and microbial organisms are all encouraged to apply. Appointees in this series are expected to conduct mission oriented, translational research that has an ultimate goal of solving societal problems relevant to the mission of the Agricultural Experiment Station http://cnas.ucr.edu/about/anr/.

TITLE/RANK: Assistant Professor. Salary will be competitive and commensurate with accomplishments.

LOCATION: University of California, Riverside. The successful candidate will become a member of a major academic department within the College of Natural and Agricultural Sciences in his/her area of expertise with opportunities for a secondary appointment in a variety of departments and colleges.

BACKGROUND: The college is actively expanding its bioinformatics program which impacts many of its departments and interdepartmental graduate programs. Interdisciplinary bioinformatics research at UCR involves multiple departments, centers, and institutes including the Institute for Integrative Genome Biology. The Institute for Integrative Genome Biology (IIGB) connects theoretical and experimental researchers from different departments in Life, Physical and Mathematical Sciences, Medicine, Engineering and various campus based Centers. The IIGB is organized around a 10,000 sq.ft. suite of instrumentation facilities that serve as a centralized, shared-use resource for faculty, staff and students, offering advanced tools in bioinformatics, microscopy and imaging, proteomics and genomics. The IIGB Center for Bioinformatics is equipped with a modern high-performance compute (HPC) and high performance data storage infrastructure.

QUALIFICATIONS: Applicants must have a Ph.D. and postdoctoral experience.

RESPONSIBILITIES: Qualified candidates are expected to have excellent publication and research records in bioinformatics or related areas, such as computational biology, genome biology and genomics, statistics, or computer science. The successful candidate will be expected to establish and maintain a vigorous, innovative and well-funded, state-of-the-art research program, teach effectively at the undergraduate and graduate levels, and participate in departmental and interdepartmental graduate programs. Teaching responsibilities will include participating in the current bioinformatics curriculum and contributing to development of new offerings at graduate and undergraduate level.

TO APPLY: Review of applications will begin December 3, 2014 for full consideration and will continue until the position is filled. Interested individuals should apply at https://aprecruit.ucr.edu/apply/JPF00269 with required documents: (1) a curriculum vitae, (2) a statement of research interests, and (3) three letters of reference. For additional information, visit http://genomics.ucr.edu/jobs.html or http://cnas.ucr.edu

The University of California is an Equal Opportunity/Affirmative Action/Disability/Veterans Employer.

UC Merced Prof of Biostatistics

The University of California, Merced is a dynamic new university campus in Merced, California, which opened in September 2005 as the tenth campus of the University of California and the first American research university in the 21st century. In keeping with the mission of the University to provide teaching, research and public service of the highest quality, UC Merced offers research-centered and student-oriented educational opportunities at the undergraduate, master’s and doctoral levels through three academic schools: Engineering, Natural Sciences and Social Sciences/Humanities/Arts.

http://jobs.ucmerced.edu/n/academic/position.jsf?positionId=3D4252
The Molecular Cell Biology group in the School of Natural Sciences at the University of California, Merced invites applications from exceptional scholars and teachers at the Assistant Professor (tenure track) level in Biostatistics.

Biostatistics is the development and use of statistical methods for medical and biological datasets including, but not limited to applications in experimental design, quantitative biology, epidemiology, medical informatics, nutrition, evolutionary biology, sequence bioinformatics, genomics, metabolomics, and systems biology. Current strengths of the Molecular Cell Biology group at UC Merced include cancer metabolism, diabetes, inflammation, infectious disease, and mechanisms of cell fate decisions. Ideally, applicants should demonstrate successful grantsmanship and nationally recognized research. We encourage applications from women and members of ethnic minorities.

The University of California at Merced is an affirmative action/equal opportunity employer with a strong institutional commitment to the achievement of diversity among its faculty, staff, and students. The University is supportive of dual career couples.

Qualifications:  Strong applicants should have a Ph.D. and show a track-record in development and/or application of methods in biostatistics, biomedical informatics, epidemiology, multiple hypothesis testing, Bayesian estimation and model selection, Markov chain Monte Carlo, machine learning and/or other areas. The successful candidate will be expected to cultivate collaborative research relationships with faculty in biology, health sciences, and may also collaborate with applied mathematics.

Other qualifications include:
(1) Quality, importance, and impact of past and current research in an area of biostatistics as judged by publications, awards, and letters of recommendation.

(2) External funding history or potential for obtaining external funding.

(3) Likely importance and impact of future research as judged by research plan and
letters of recommendation.

(4) Research interests that complement and strengthen those of current faculty
in the biological sciences.

(5) Potential ability to mentor graduate and/or post-graduate students and to contribute to graduate education and training, particularly of minorities underrepresented in health and
STEM fields.

(6) Potential effectiveness as an educator at both undergraduate and graduate levels based on teaching statement, experience, teaching evaluations, and letters from former students (as available).

Closing Date:         12/10/2012