Nov 16, 2004

Bioinformatics Scientist - Maize Structural Genomics


http://sh.webhire.com/servlet/av/jd?ai=554&ji=1454005&sn=I

The candidate for this position will integrate public and proprietary
genetic and physical map information with sequence, expression, and
SNP data to drive gene discovery and advancement. He or she will
create synergy among Monsanto's genomics, biotechnology, and
molecular breeding groups and will work with projects in Systems
Biology and Data Integration to drive a strategy for data analysis
and display to enhance value capture. Comparative genomics across a
variety of maize and monocot lines will enhance our understanding of
the mechanisms underlying a variety of agronomic and quality traits.

Candidates for this position must have research experience at a
professional level in genome mapping, sequencing, and comparative
genomic analyses. Familiarity with association studies and other
statistical, quantitative genetic, and molecular breeding approaches
is a strong plus. Expert use of public sequence and functional
genomic databases is required, and knowledge of data management and
data visualization approaches is a desirable.

Requirements include a Ph.D., or M.S. or equivalent in Biology,
Genetics, Bioinformatics, Plant Breeding with at least 3 to 5 years
of relevant experience, as described above, in a research,
agricultural, biotech or drug discovery environment specializing in
high throughput genomics.

Bioinformatics Scientist - Sequence Analysis

http://sh.webhire.com/servlet/av/jd?ai=554&ji=1467983&sn=I

The individual who fills this position will apply his or her
knowledge to strategic and tactical issues in the general area of
sequence analysis and bioinformatics. Specific projects include
sequence analysis and assembly through hands on programming, as well
as evaluating external software packages and integrating them into an
in-house environment. He or she will contribute to and drive
strategies for annotation using a variety of information sources.

Candidates for this position must be knowledgeable and skillful in
Perl programming (Java or C a plus). Linux and Solaris experience is
required, as well as Oracle and database access methods. Expert use
of biological sequence databases is required, as well as in depth
knowledge of the theory of sequence analysis and application of
available tools. Candidates must have significant scientific
programming and algorithm development experience in one or more of
the following areas: sequence analysis, high-throughput analysis,
plant dsRNA functional bioinformatics and/or protein computational
biology.

Educational requirements include a Ph.D., or M.S. or equivalent in
Biology, Bioinformatics, or Computer Science. Experience in a
research, agricultural, biotech or drug discovery environment
specializing in high throughput genomics is highly desirable.

Bioinformatics at Monsanto.

The Bioinformatics Team that supports Ag Biotech  is a group of about
30 individuals that resides within the Genomics Program, which
provides sequencing, cloning, and molecular analysis for production
of transgenic plants. The Bioinformatics Team analyzes and mines
genomic sequence data, expression profiling data, and phenotypic data
to support gene discovery and gene advancement within the biotech
pipeline. The group also creates or defines requirements for custom
databases and analysis tools to make these resources available for
researchers and analysts throughout the organization. Monsanto's team
environment encourages interaction with physiologists, statisticians,
breeders, molecular biologists, biochemists, and IT professionals
throughout the Ag sector.