Curator Opening at TAIR: Genomic Sequence Annotation

TAIR, The Arabidopsis Information Resource ([Only registered users see links. ]) is a
National Science Foundation-funded web resource for thousands of plant
biology researchers worldwide, providing free access to a wide array of
biological data and analysis tools for the model plant Arabidopsis. TAIR
is located at the Carnegie Institution of Washington, Department of
Plant Biology in Stanford, CA.

We are currently seeking applicants for the position of scientific
curator to work on our genomic sequence annotation project. As part of
the TAIR team you will be involved in computational and manual updates
of structural annotation for genes and other sequenced objects and
computational updates of functional annotation. You will also work
alongside software and database developers to enhance annotation tools
and assess the automatic analysis procedure.

Responsibilities include:

1. Assisting with timely and high-quality genome annotation releases.
2. Improving the structural annotation database schema and associated
computational tools and analyses in collaboration with programmers and
database developers.
3. Assisting in developing improved formats and methods for community
access to TAIR genome releases.
4. Presenting TAIR's structural and functional annotation efforts at
conferences, soliciting community feedback and incorporating it into
future releases.
5. Working with programmers to maintain and improve pipelines for
mapping a variety of sequenced objects (cDNAs, ESTs, polymorphisms,
markers, microarray elements, etc) to the genome.
6. Helping maintain TAIR's data analysis datasets and assisting with
keeping the data analysis tools (BLAST, FASTA, PatMatch, etc) functioning.
7. Assisting with implementing improvements to TAIR's genome browser
(SeqViewer) and map comparison tool (MapViewer).

Requirements:

Ph.D. degree or equivalent in biological research involving DNA or
protein sequence analysis. You must have a keen eye for detail, a
demonstrated ability for independent critical thinking, excellent
communication and computer literacy skills.

Experience in computational biology, sequence analysis, comparative
genome analysis, or computational prediction of gene structure or function.

Experience of UNIX, MYSQL and perl would be beneficial but is not required.

Qualified candidates should email a resume to David Swarbreck at:
[Only registered users see links. ]

The preferred starting date is September, 2006.
The Carnegie Institution of Washington is an equal opportunity employer.