(1) Pathway Information Systems (postdoc or staff)
(2) Cancer Genomics and Combinatorial Therapy (postdoc)

For information on cBio job openings, please visit: http://cbio.mskcc.org/jobs/index.html

(1) Pathway Information Systems

A pathway informatics position is available immediately in Chris Sander's
Computational and Systems Biology Group in the Computational Biology Center at
Memorial Sloan Kettering Cancer Center (MSKCC) in New York City.

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.

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.

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 pathway-commons-jobs [at] cbio [dot] mskcc [dot] org preferably by  July 1, 2009. 

(2) Cancer Genomics and Combinatorial Therapy

A cancer genomics position is available immediately in Chris Sander's
Computational and Systems Biology Group in the Computational Biology Center at
Memorial Sloan Kettering Cancer Center (MSKCC) in New York City.  Help discover
molecular causes of cancer progression, design better therapeutic approaches and
move cancer research results into the clinic.

We take a systems biology and genomics approach to cancer research, including
pathway analysis, with application to these particular cancers: Glioblastoma,
Ovarian cancer, Prostate cancer, Sarcoma, Melanoma, Breast Cancer.

We are actively involved in The Cancer Genome Atlas research network (TCGA),
the International Cancer Genome Consortium (ICGC) and a Stand Up To Cancer team (SU2C).

Join a group of about a dozen postdocs, graduate students and software engineers.
Collaborate with others and lead a project. Check your predictions against data
and design experiments and clinical validation. Do imaginative basic science and
help bring it to translational fruition.

You have a PhD or equivalent in biology, medicine, mathematics, physics,
chemistry or engineering. Send CV, bibliography, brief statement of research
interests and names of 3 references to postdoc-search [at] cbio [dot] mskcc [dot] org,
at any time. Then pack your bags and spend a few years in one of the best
computational and systems biology centers this side of Uranus. Let's expend
less effort and brain power on wars and more on science.