Assistant Project Scientist (Bioinformatics)

Organization
University of California, Riverside
Job Location
900 University Avenue
Riverside, CA 92521
Salary
Commensurate with experience
Benefits

Included

Job Description

The successful candidate will join the laboratories of Drs. Mikeal L. Roose and Rakesh Kaundal to develop systems bioinformatics approaches to decipher plant host-pathogen interaction networks. The appointee will focus on system and data integration, algorithm development and computational modeling of the interactions among Candidatus Liberibacter asiaticus (CLas) proteins and Citrus proteins using diverse data types or properties; specific responsibilities include: (i) Generate a series of data types / protein features from intra- and inter-species Protein-Protein Interactions (PPIs) for Citrus-CLas interaction system, (ii) Develop a Bayesian network from these properties and generate a decision layer, (iii) Validate the performances on experimentally-proven independent datasets and/or develop alternative approaches such as those based on machine learning, dual RNA-seq data, (iv) Implement a publicly available web server for predicting and visualizing the Citrus-CLas PINs. In addition, the candidate is also expected to work closely with other postdocs and students involved in this project, assist in the analysis of RNA-seq data for differential gene expression, etc.

Requirements

Qualifications:
1. Ph.D. degree in Biology, Computer Science, Engineering, or related life sciences field.

2. Programming skills with Java, C/C++, or Perl and efficiency in Linux/Unix operating systems.

3. Independent problem solving skills.

4. Have good communication skills, strong team-work spirit, and self-learning abilities.

Preferred Qualifications:

1. Ph.D. degree in Plant Biology, Genomics, Bioinformatics, Computer Science or highly-related field.

2. Post-doctoral experience in Bioinformatics.

3. Experience in developing Bayesian-based models and large-scale data analysis systems.

4. Knowledge about PINs, graphical models such as the dynamic Bayesian networks.

How to Apply

Please submit a current CV, a brief statement of your research interests, and contact information for at least three references who can address your skills and abilities in science by e-mail to the Investigators, Dr. Mikeal L. Roose ([email protected]), or Dr. Rakesh Kaundal ([email protected]).

About Our Organization

The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic protected by law.

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