Posting Date: December 7th, 2007
Starting Date: Ideally January 2008
Type: Semester-to-semester. From 5hr/wk to full time.
Description:
A research assistantship position is available to Computer Science students who have passed their first semester of graduate study at IUPUI, have taken at least a Bioinformatics-related graduate-level courses, maintain a GPA of 3.5 and above and have a interest of doing MS thesis in bio-computing. This biocomputing opportunity is offerred only once a year to the general public, under the supervision of Prof. Jake Chen at the CIS Department and the School of Informatics, as a mechanism to attract talented CS students into cutting-edge biocomputing/bioinformatics research. The research program may be tailored based on personal interest, but those with strong interests/knowledge in semantic web based data integration, high-performance Oracle databases, and algorithm-driven software development will be preferred. An ideal candidate should be passionate about learning cancer molecular biology, although prior experience working on biological problems is not required. A good opportunity for this RA position is that it can evolve into a MS thesis or project. The weekly commitment of RA work varies, depending on level of commitment, experience, interest, and match. This position may also be available for extremely well qualified undergraduate students who are planning their Capstone projects.
For those interested, please send a letter explaining your qualifications (please specify whether you intend to do a thesis/project in bio-computing or not), a copy of your resume, and a list of 3-4 references (email/phone) to Dr. Jake Chen, Discovery Informatics and Computing Lab, WK 190, 719 Indiana Ave, Indianapolis, IN 46202, email jakechen@iupui.edu. The lab has excellent computing facilities, including well-equipped workstations and open desk space for each RA, common sitting area, and excellent chance to interact with other student and scholars including visiting PhD Candidates from other top CS departments and bioinformatics postdocs. All past graduates of the lab interested in industrial positions have had multiple job offers, with rigorious Oracle data management and data mining training from the thesis/project study. For a glimpse of the current member profiles and past graduates of the lab, please refer to : http://bio.informatics.iupui.edu/research/member.shtm#PI
Posting Date: October 21, 2006
Starting Date: Immediate, preferably no later than January 1st, 2007
Type: Regular Employee
Description:
Post-genome bioinformatics opportunities lie in translational research that links computation to complex clinical disease diagnostics and treatment. A protein informatics postdoctoral researcher position at Indiana University School of Informatics, Indianapolis, Indiana is now open to interested PhDs with training in computer science, computational biology, bioinformatics, or computational proteomics. This represents a rare informatics research and development opportunity recently enabled with funding from the National Cancer Institute Clinical Proteomics Program. The work involves applying cutting-edge semantic web technology into proteomics data integration and analysis of large bioinformatics data sets from multiple proteomics facilities sites across IU, Purdue, and Indiana biotech companies. Internationally recognized state-of-the-art computing resources such as NSF TeraGrid, Oracle 10g database server, IBM Big Red Supercomputer, and I-light Gigabit wide area networks that connects IU and Purdue University campuses are all available for use. The ideal candidate should have a good publication record, relevant experience, good programming skills, and excellent work ethics. If interested, please contact Prof. Jake Chen, Indiana University School of Informatics and Purdue University School of Science Department of Computer and Information Science, 535 W. Michigan Street, IT Building #497, Indianapolis, IN 46202, USA; Email: jakechen@iupui.edu. Please include a cover letter, CV, and names of three references in the application. Applicants will be reviewed on a rolling basis competitively until the position is filled.
Posting Date: October 21, 2006
Starting Date: Immediate, preferably no later than January 1st, 2007
Type: Regular Employee
Description:
A scientific programmer position is immediately open in a fast-paced research and development environment at Indiana University School of Informatics, Indianapolis , Indiana. At least 3 years of project-based programming experience is required. Mastery of database programming using Oracle PL/SQL and Java are desired. Tasks include implementing a terabyte-scale data warehouse for research data mining purposes in an area of computational biology. Experience in R programming is required. Successful applicants should be willing to learning new domain knowledge and acquire additional programming and/or quantitative skills. Internationally recognized state-of-the-art computing resources such as NSF TeraGrid, Oracle 10g database server, IBM Big Red Supercomputer, and I-light Gigabit wide area networks that connects IU and Purdue University campuses are all available for use. Highly qualified individuals may also be titled scientific programmer / data manager. If interested, please contact Prof. Jake Chen, Indiana University School of Informatics and Purdue University School of Science Department of Computer and Information Science, 535 W. Michigan Street, IT Building #497, Indianapolis, IN 46202, USA Email: jakechen@iupui.edu. Please include a cover letter, CV, and names of three references in the application. Applicants will be reviewed on a rolling basis competitively until the position is filled.
Posting Date: December 5th, 2006
Starting Date: Immediate opening with flexible start date.
Type: Regular Employee. 2-3 years of appointment.
Description:
A postdoc researcher position is open to recent PhDs in computer science, biostatistics, proteomics, or other computational sciences. Excellent opportunity to perform translational systems biology research using informatics techniques, in collaboration with IU cancer center researchers, scientists from local biotech companies, and other colleagues in cancer biology. Excellent computing facilities are provided through IU high-performance computing group. Ability to work with very large-scale mass spectrometry proteomics data sets using relational databases and algorithmic methods in a team is preferred. Practical programming skills using R, Java, Perl, and Oracle are necessary. Knowledge of biomarkers and cancer biology signaling pathways is a plus. Excellent publication record and communication skills are also highly desired. Candidate must be self-driven.
Posting Date: Sept 1st, 2006
Starting Date: Rolling
Type: Semester-to-semester. From 5hr/wk to full time.
Description:
2 graduate student positions in Informatics or Computer Science is available for bio-computing research and development. These positions may begin as part-time but could evolve into full-time research assistantship depending on qualifications and project achievements. These positions require a minimal commitment of 5 hours per week and upwards to full-time. The projects varies from biological data integration (XML/semantic webs), data warehouse development using IU supercomputer and Oracle 10g, scientific algorithm development and data mining, and disease-specific systems biology informatics R&D. Option to take either CS class credits or INFO class credits for the study is available. Self-motivated energetic individuals and self-learners are welcome to apply. The selection is based on individual’s academic achievement and references.
Posting Date: October 21st, 2006
Revision Date: December 5th, 2006
Starting Date: Immediate opening with flexible start date.
Type: Regular Employee. 2-3 years of appointment.
Description:
A postdoc researcher position is open to recent bioinformatics PhDs with broad areas of interests and focused training in at least one of the following areas: integrative computational biology, MS-based proteomics, algorithm design and data mining, statistical machine learning, multi-scale systems modeling, structural genomics, disease pathway modeling, and computational systems biology. Excellent publication record (either published or in preparation) and writing skills are highly desired. Strong statistical and mathematical training and practical programming skills are preferred. Knowledge of basic biology and signaling pathways is a plus. Exceptional talents with excellent research track record in related bioinformatics areas will also be considered.