Join us building Pathway Commons, a research resource for biological pathways and cellular processes.
Collaborate with scientists around the world to refine the standard BioPAX language for exchanging pathway
data. Aggregate and integrate information and make it available to the scientific world for use in the scientific
discovery process. Become part of the revolutionary expansion of biological knowledge connecting molecular behavior
to system properties. Two pathway informatics positions are available immediately in the Computational Biology
Center at Memorial Sloan Kettering Cancer Center (MSKCC) in New York City. Pathway Commons is a collaborative project
with Gary Bader's group at the University of Toronto. MSKCC is one of the world's premier cancer centers with an
emphasis on leading-edge research. Apply to 
preferably by 8 December 2008.
As Content Manager, collaborating with biological pathway database teams, you will be responsible for aggregating, validating and integrating pathway information and maintaining Pathway Commons releases. You also will work on BioPAX development, test Pathway Commons information services and organize outreach programs for biologists. You have the opportunity to participate in research projects applying pathway-based ideas, tools, and algorithms to cancer genomics. You have a PhD or equivalent in Biology, Computational Biology or a related field and have an excellent understanding of the biology reflected in pathway representations. Exceptional organizational and communication skills are required. Experience in Java, ontologies, pathway databases and bioinformatics analysis tools is a plus.
As Infrastructure Developer, working with the Pathway Commons team, you will build tools and develop software systems for aggregating, integrating, querying and analyzing biological pathway information. Your tasks include helping develop a software library for BioPAX, designing and developing a state-of-the-art query backend, new algorithms for comparing and merging pathways and an internet application for efficient capture of biological factoids. You have a postgraduate degree in computer science, computational biology or a related field, excellent programming skills, preferably in Java, and experience in knowledge representation. A strong interest in molecular biology and previous experience in developing bioinformatics applications is a big plus.
