THREE FACULTY POSITIONS IN BIOINFORMATICS AND SYSTEMS BIOLOGY

Assistant, Associate or full Professor, Oregon State University.

Biological investigation is increasingly driven by rapid advances in high throughput data generation and the subsequent quantitative analysis of the data. Downstream analyses require not only statistical and mathematical inference and data mining methods, but also modeling and simulation on high performance computing systems with the ultimate goal of generating predictive models. The generation and synthesis of massive data sets from these investigations leads to exciting discoveries solutions for the most complex problems in the life and environmental sciences. Simultaneously, the complexity and size of biological and environmental data sets are driving new advances in the quantitative sciences.

Oregon State University maintains cutting-edge programs in life and environmental sciences, genomics, mass spectrometry, biostatistics, computer science and mathematics. The Center for Genome Research and Biocomputing (CGRB) serves as a focal point for research in computational, genome and systems biology. The three advertised positions form part of a new cluster hire of six positions in transdisciplinary computational and systems biology coordinated by the CGRB. The positions will involve joint appointments in quantitative and life science departments, and will strongly emphasize collaborative research.

OSU is one of only two universities in the US to hold the Land Grant, Sea Grant, Sun Grant and Space Grant designation and is a Carnegie Doctoral/Research-Extensive university. OSU is located in Corvallis, a community of 54,000 people situated in the Willamette Valley between Portland and Eugene. Ocean beaches, lakes, rivers, forests, high desert, the rugged Cascade and Coast Ranges, and the urban amenities of the Portland metropolitan area are all within a 100-mile drive of Corvallis. Oregon State welcomes a diverse student body of over 22,000 students from across Oregon, all 50 states and more than 80 countries.

 

NUCLEIC ACID SEQUENCE BIOINFORMATICS

Rapidly escalating advances in nucleic acid sequencing have the potential to enable unprecedented new approaches to understanding the functions of biological systems at many levels of scale. The appointee will execute a strong research and teaching program at the interface of computer science and the life sciences that advances the use of nucleic acid sequence data to understand the functions of biological systems at any level of scale. Research topics include, but are not limited to: scalable algorithms that enable large scale nucleic acid sequence datasets to be efficiently assembled, organized, interrogated and/or visualized; novel resources such as ontologies that facilitate the interrogation of biological data by machines; semantic web tools that facilitate the integration of biological data from diverse repositories; and machine learning methods that improve the accurate inference of biological functions.

This is a tenure-track, 9-month, full-time faculty position (open rank) that will reside jointly in the School of Electrical Engineering and Computer Science, and in a life science unit depending on the appointee’s expertise and interest; neither unit appointment to exceed 70%. The appointee will maintain an externally funded research program in the general area of DNA sequence bioinformatics; instruct and advise graduate, professional or undergraduate students in areas relevant to DNA bioinformatics; develop innovative approaches to instruction that integrate computational and life sciences; and engage in service that promotes collaborative, interdisciplinary research and education.

Applicants qualifications include but are not limited to a doctoral degree (e.g. Ph.D.) in a relevant discipline; potential for or record of interdisciplinary scholarship relevant to DNA sequence bioinformatics; potential for or record of teaching effectively in bioinformatics; potential for or record of valuing, promoting and enhancing a broad diversity of intellectual, cultural and disciplinary viewpoints. Interest and experience in collaborative research at the interface of the quantitative and life sciences are strongly preferred.

For a full position description and how to apply visit  http://oregonstate.edu/jobs, Posting #0009027. For full consideration please apply by 06/30/12, closing date is 07/30/12. Include a cover letter, a statement of research experience and plans, a statement of teaching experience and philosophy, a current CV including past and current grant funding, and contact information for three references. For information regarding this position, please contact Joseph Spatafora (Joseph.Spatafora@oregonstate.edu) or Stephen Giovannoni (giovanns@science.oregonstate.edu) with questions.

 

SYSTEMS BIOLOGY OF HOST-MICROBE INTERACTIONS

Positive and negative interactions of hosts with microbes and microbial communities are key to the healthy functioning of many biological systems. Newly emerging infectious diseases threaten the health of humans, animals, plants and natural ecosystems. Systems approaches that integrate molecular, genomic, cellular, and physiological analyses of individuals or communities are essential to understanding microbial interactions at any level. The appointee will conduct research addressing host-microbe interactions through integrating experimental life science methods and quantitative methods. The context of the research may be infectious, allergic or chronic disease in humans, animals or plants, or it may address mutualistic interactions at the level of individuals or communities.

This is a tenure-track, 9-month, full-time faculty position (open rank) that will reside jointly in a life science department (e.g. Botany and Plant Pathology, Linus Pauling Institute, Forestry, Microbiology, Pharmacy, Public Health, Veterinary Medicine, or Zoology) and in a quantitative science department (e.g. Computer Science, Engineering, Mathematics, or Statistics) with neither appointment exceeding 70%. The appointee will maintain an externally funded research program in the general area of the systems biology of host-microbe interactions and/or chronic disease; instruct and advise graduate, professional or undergraduate students in areas relevant to systems biology; develop innovative approaches to instruction that integrate computational and life sciences; and engage in service that promotes collaborative, interdisciplinary research and education.

Applicants qualifications include but are not limited to a doctoral degree (e.g. Ph.D.) in a relevant discipline; potential for or record of interdisciplinary scholarship relevant to systems biology of host-microbe interactions and/or chronic disease; potential for or record of teaching effectively in systems biology; potential for or record of valuing, promoting and enhancing a broad diversity of intellectual, cultural and disciplinary viewpoints. Interest and experience in collaborative research at the interface of the quantitative and life sciences are strongly preferred.

For a full position description and how to apply visit http://oregonstate.edu/jobs, Posting #0009034. For full consideration please apply by 06/30/12, closing date is 07/30/12. Include a cover letter, a statement of research experience and plans, a statement of teaching experience and philosophy, a current CV including past and current grant funding, and contact information for three references. For information regarding this position, please contact Daniel Rockey (rockeyd@oregonstate.edu) or Brett Tyler (brett.tyler@oregonstate.edu) with questions.

 

APPLIED DISCRETE MATHEMATICS IN SYSTEMS BIOLOGY

One of the hardest problems in molecular, cellular and organismal systems biology is the integration of diverse “omics” scale data to develop robust hypotheses about how the components of cells, organisms and communities interact to control specific natural or pathological biological processes. Discrete models such as Boolean networks and their generalizations have proven useful tools for hypothesis generation in systems biology, and can provide the basis for computationally efficient dynamical systems simulations. Discretization can also provide an effective means to integrate diverse, high dimensional data sets. The appointee will execute a strong research and teaching program at the interface of applied discrete mathematics and molecular, cellular or organismal systems biology.

This is a tenure-track, 9-month, full-time faculty position (Associate or Full professor) that will reside jointly in the Department of Mathematics, and in a life science unit depending on the appointee’s expertise and interest; neither unit appointment to exceed 70%. The appointee will maintain an externally funded research program in the general area of mathematical systems biology; instruct and advise graduate, professional or undergraduate students in areas relevant to mathematics and systems biology; develop innovative approaches to instruction that integrate quantitative and life sciences; and engage in service that promotes collaborative, interdisciplinary research and education.

Applicants qualifications include but are not limited to a doctoral degree (e.g. Ph.D.) and faculty experience, or equivalent, in a relevant discipline; a record of interdisciplinary scholarship relevant to discrete mathematics and systems biology; a record of teaching effectively in mathematics and systems biology; and a record of valuing, promoting and enhancing a broad diversity of intellectual, cultural and disciplinary viewpoints. Interest and experience in collaborative research at the interface of the quantitative and life sciences are strongly preferred.

For a full position description and how to apply visit http://oregonstate.edu/jobs, Posting #0009025. For full consideration please apply by 06/30/12, closing date is 07/30/12. Include a cover letter, a statement of research experience and plans, a statement of teaching experience and philosophy, a current CV including past and current grant funding, and contact information for three references. For information regarding this position, please contact Robert Higdon (higdon@math.oregonstate.edu) or Michael Freitag  (freitagm@cgrb.oregonstate.edu) with questions.