Eos Biotechnology in South San Francisco has an opening for a Director
of Bioinformatics and a Bioinformatician as described below. Please
do not respond to my address but use jobs at eosbiotech.com if you are
interested.
David Kristofferson
Director, Information Systems
Eos Biotechnology, Inc.
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Director, Bioinformatics at Eos Biotechnology, Inc.
Eos Biotechnology, Inc. is a progressive biotech start-up located in
South San Francisco. We have a great opportunity for a highly
motivated individual to lead our bioinformatics team.
The ideal candidate would have a strong background in molecular
biology, Ph.D.-level or higher research experience in bioinformatics,
and experience in managing a small group of bioinformaticians and
software developers. We are seeking someone with work experience in
the following areas:
- Public domain and commercial bioinformatics software (e.g. Pangea
clustering and alignment tools, GeneWorld(tm), NetGenics Synergy(tm),
GCG, Sequencher(tm), MacVector(tm), etc.)
- Development of novel bioinformatics tools in areas such as
automation of sequence annotation and/or automated retrieval of
bioinformation from Internet resources
Experience with DNA microarrays and the analysis of gene expression
data is a plus. Programming experience is a definite plus, but the
director will be expected to expand the staff of on-site and contract
developers and bioinformaticians to accomplish our ambitious research
agenda.
We offer attractive compensation & benefits, generous stock options,
and the opportunity to join a promising start-up. Please send resumes
to Eos Biotechnology, Inc., HR, Attn: Job#499DBI, 225A Gateway Blvd.,
South San Francisco, CA 94080 or by fax to 650/583-3881 or by email to
jobs at eosbiotech.com. Resumes submitted by e-mail should be in text
format only, please. EOE
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Bioinformatician at Eos Biotechnology, Inc.
Eos Biotechnology, Inc. is a progressive biotech start-up located in
South San Francisco. We have a great opportunity for a highly
motivated individual to join our bioinformatics team.
The ideal candidate would have a strong background in molecular
biology plus extensive work experience in analyzing sequence and gene
expression data. We are seeking someone with work experience using
public domain and commercial bioinformatics software (e.g. Pangea
clustering and alignment tools, GeneWorld(tm), NetGenics Synergy(tm),
GCG, Sequencher(tm), MacVector(tm), etc.). Experience with DNA
microarrays is a plus. Programming experience to support the job's
objectives of sequence analysis and data management is also preferred,
but the bioinformatician will have the support of professional
software developers.
We offer attractive compensation & benefits, generous stock options,
and the opportunity to join a promising start-up. Please send resumes
to Eos Biotechnology, Inc., HR, Attn: Job#499BI, 225A Gateway Blvd.,
South San Francisco, CA 94080 or by fax to 650/583-3881 or by email to
jobs at eosbiotech.com. Resumes submitted by e-mail should be in text
format only, please. EOE
About Eos Biotechnology ( http://www.eosbiotech.com ):
Eos Biotechnology is focused on developing new, genomics-based
technologies and applying them to the generation of information needed
for the discovery of new drug targets and patient management tools. A
distinguishing feature of our business strategy is to initiate,
integrate and execute disease-focused, experimental biology-based
target discovery programs, rather than providing a technology platform
or service. Our initial target discovery activities are in the areas
of inflammation and oncology. However, our approach can be
successfully applied to a variety of disease processes.
What differentiates our approach is our:
- Effective integration of biology and genomics technologies to
rapidly select robust drug and diagnostic targets
- Broad genomics technology platform including multiple DNA array
technologies, high throughput oligonucleotide synthesis capabilities,
normalized differential transcript displays, and novel bioinformatics
tools for the integrated analyses of genomic data
- Ability to enable "real time" biology-based experiments with
genomics tools
- Genomic profiling of a broad range of biological systems including
human tissues, in vivo models and primary human cell culture systems
to identify disease-relevant systems for use in target validation
- Biology-driven expression databases allowing the efficient,
effective comparison of key pathogenic processes and mechanisms common
to multiple diseases
