Applied Mathematician
Celera Genomics
South San Francisco, CA
The Celera Genomics Group, located in Rockville, MD, and South San
Francisco, CA, is engaged principally in integrating advanced technologies
to discover and develop new therapeutics. Celera intends to leverage its
proteomic, bioinformatic, and genomic capabilities to identify and
validate drug targets and diagnostic marker candidates, and to discover
and develop new therapeutics. Its Celera Discovery SystemTM online
platform, marketed exclusively through the Applied Biosystems Knowledge
Business, is an integrated source of information based on the human genome
and other biological and medical sources.
Major Responsibilities Provide computational analysis and algorithmic
software development as part of an exceptional multi-disciplinary team of
mass spectrometrists, biologists, chemists, computer scientists, software
engineers, and mathematicians working within Celera Genomics' Informatics
division. The candidate will develop algorithms that incorporate models
based on probability theory, graph theory, data structures, numerical
methods, simulations, mathematical modeling, SVMs, HMMs, optimization,
multivariate analysis, classification, segmentation, decision trees, and
neural networks. The ideal candidate will combine a strong background in
computational mathematics, an understanding of proteomics, biology,
chemisty, and drug development, and solid interpersonal, organizational,
and systems analysis skills.
Skills/Knowledge Requirements:
- PhD/MS in computational mathematics, applied mathematics,
an engineering or scientific discipline, computer science,
or equivalent.
- Proficiency in mathematics, biology, chemistry, and software
engineering domains, as well as intellectual agility and the ability to
quickly assimilate new concepts.
- Experience in scientific domain is
preferable, especially familiarity protein informatics and computational
chemistry is desirable.
- Experience with existing bioinformatics tools and
industry standards pertaining to image processing routines, large scale
sequence databases, software application development, and best software
practices. Especially related to proteins, protein and gene expression,
and peptide sequencing.
- Familiarity with mathematical and modeling
software such as Matlab, Octave, NIHImage, and See5 is preferable.
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