Lewis-Sigler Institute
Princeton University
We seek applicants for a Scientific Programmer to join the larger bioinformatics group at the Lewis-Sigler Institute for Integrative Genomics / Center for Quantitative Biology. The ability to analyze large volumes of data and to separate signal from noise within these data is critical to successful biological research today. We are looking for a scientific data analyst who can collaborate with biologists to implement algorithms and apply statistical methods to analyze vast amounts of genome-wide data.
Specific duties include:
Essential Qualifications include:
Research experience with biological data analysis and/or modeling and experience with CGI, web development and DBI is preferred. Rank and salary are dependent upon qualifications.
Applicants should submit their curriculum vitae online at http://jobs.princeton.edu. (Req. # 0800316).
For Information on applying to Princeton and how to self-identify, see: http://web.princeton.edu/sites/dof/ApplicantsInfo.htm
Princeton University is an Equal Opportunity/Affirmative Action Employer.
ArrayExpress Production Coordinator
Closing date: 25 May 2008
http://www-db.embl.de/jss/servlet/de.embl.bk.emblGroups.JobsPage/08037EBI.html
Function Annotation Curator, Biological Research Database, Carnegie Institute, Stanford, CA
TAIR, The Arabidopsis Information Resource (http://arabidopsis.org) 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 tools for the model plant Arabidopsis. The Carnegie Institution Department of Plant Biology is co-located with the Department of Global Ecology on a seven-acre site on the campus of Stanford University.
We are currently seeking applicants for the position of scientific curator to join us in our functional annotation effort. The successful candidate will work with a team of curators, software engineers, and database developers to provide data to over 13,000 users of the TAIR website and database. The main responsibilities of this position include reading current research articles and extract gene function and other attributes for loading into the TAIR database, answering questions from the community on how to use the site, presenting information on how to use TAIR at meetings and workshops, assisting scientists with large data submissions and with the design of new or improved web interfaces and tools, and participating in the development of controlled vocabulary terms for gene annotation.
The ideal candidate will have a Ph.D in Biology or related discipline with research experience in plant biology, a emonstrated ability for independent, critical thinking, excellent written and verbal communication skills, the ability to work well as part of a team and good basic computer skills (word processing, spreadsheets, web browsers).
Experience with Internet-based literature searching, Unix, HTML and mySQL would be useful but is not required.
This is an on-site position, telecommuters will not be considered. Qualified candidates should email a cover letter, CV and names of 3 references to Dr. David Swarbreck at: dswarbreck@stanford.edu
The Carnegie Institution of Washington is an equal opportunity employer.
Genome Annotation Curator, Biological Research Database, Carnegie Institution, Stanford, CA
TAIR, The Arabidopsis Information Resource (http://arabidopsis.org) 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 tools for the model plant Arabidopsis. The Carnegie Institution Department of Plant Biology is co-located with the Department of Global Ecology on a seven-acre site on the campus of Stanford University.
We are currently seeking applicants for the position of scientific curator to work on our genome annotation project. The successful candidate will be involved in computational and manual updates of structural annotation for genes and other sequenced objects and computational updates of functional annotation. Duties include: analyzing and interpreting sequence data, comparative genomics techniques, examining experimental data and compiling results; dealing with user requests and presenting and/or publishing data. You will also work alongside our technical team to assist with the design of new or improved web interfaces and tools.
The ideal candidate will have a PhD in biology, molecular biology or related field, a demonstrated ability for independent critical thinking, knowledge of sequence analysis and annotation approaches and concepts, good communication skills and a keen eye for detail. Familiarity with UNIX, HTML, MYSQL and Perl would be beneficial but is not required.
This is an on-site position, telecommuters will not be considered. Qualified candidates should email a cover letter, CV and names of 3 references to Dr. David Swarbreck at: dswarbreck@stanford.edu
The Carnegie Institution of Washington is an equal opportunity employer.
The Scripps Research Institute (TSRI) was founded in 1961, and is one of the largest private, non-profit biomedical research facilities in the country with over 3,000 employees. At the forefront of basic biomedical science, the Institute has made major contributions to the betterment of health and the human condition.
We currently have available the following Technical Writer I position.
Requisition # 0101229
Technical Writer I
We are seeking a technical writer to join a highly productive laboratory at The Scripps Research Institute (TSRI) in San Diego, CA. The central goal of the lab is genetic analysis of the immune response through random germ-line mutagenesis. Will involve the creation and maintenance of a web-accessible archive describing mutations in mice, their locations in the genome, their phenotypes, and their global biological effects. This will require close communication with laboratory personnel who are responsible for mapping and identifying the mutations, and an ability to search, read, and fully comprehend the primary literature and biological databases. It will also involve the submission of information on strains to the Mouse Genome Informatics (MGI) and Mutant Mouse Regional Resource Center (MMRRC) databases. Will also coordinate the transfer of stocks to these centers. May also be involved in writing papers and grants.
Basic Qualifications: Bachelor's or Master's degree in a biological science (Biology preferred); 1-2 years of related experience in genetics; Ph.D. preferred. Must have the ability to search, read, and fully comprehend the primary literature and biological databases. This position requires a strong background in biology, particularly in genetics, excellent writing ability, attention to detail, basic computer skills and a long-term interest in creating an archive. Illustration skills desired.
Full-time: 40 hours per week.
Salary commensurate with experience.
For immediate consideration: Please apply online at
http://careers.scripps.edu/
TSRI offers a competitive salary and comprehensive benefits package, including retirement plans. Benefits start on date of hire. TSRI embraces diversity and recognizes it as being a key to our success. We believe in developing and maintaining a diverse workforce. EOE M/F/V/D
Scientific Data Curator
We are seeking a scientist to help compile comparative morphological data from the scientific literature on fishes. This person will lead data curation and ontology development as part of a team comprised of scientists and software developers, in order to develop a novel system for the analysis of developmental and phenotypic diversity data using ontologies. This NSF funded project (3 years) is led by Paula Mabee (University of South Dakota) in collaboration with Monte Westerfield (Zebrafish Information Network), the National Evolutionary Synthesis Center (www.nescent.org) and the National Center for Biomedical Ontology. For more information about the project, see the following:
Job description: The incumbent will curate morphological data from the literature on fishes, annotating anatomical features using terms from ontologies, to populate a database that will be integrated with the existing developmental and genomic database of zebrafish; contribute new terms, definitions, and relationships to the ontologies where needed and work with the broader community to ensure consistency; review the data that is submitted to the database by expert morphologists and communicate with them regarding homology relationships among entities; provide and solicit input regarding the nature of characters, character states, homologies, and phylogenetic relationships; and work closely with software developers at NESCent to develop the curatorial interfaces, the database, and the web interface to the system being developed as needed. Required qualifications:
Preferred qualifications:
How to apply:
Please send cover letter, resume, and the contact information for three references to the project PI, Dr. Paula Mabee (pmabee@usd.edu ). Further inquiries about the position may be directed to Dr. Mabee by email, or by phone at +1-605-677-6171.