Looking for a challenge at the cutting edge of science?  The newly formed Laboratory for Systems Biology and Bioinformatics is looking for innovative people with skills in proteomics, statistics and systems modeling for a postdoctoral fellowship in computational systems biology.  The Laboratory is developing state-of-the-art mass spectrometry and proteomics experimental capabilities and novel analytical strategies to probe protein diversity in cancer and inflammation with a focus on the systems biology of the myeloid lineage from stem cells to mononuclear phagocytes.

The Laboratory for Systems Biology and Bioinformatics is located in the Brown Foundation Institute for Molecular Medicine at the University of Texas Health Sciences Center at Houston.  The CSBB is a collaborative center between the IMM and School of Health Science Information led by Drs. David States and Angel Lee.  Fellows in the CSBB will have rich opportunities for scientific interaction and access to academic resources across the Texas Medical Center.

Duties

The Research Fellow will develop a focused independent project using novel analytical strategies for the interpretation of tandem mass spectrometry data, molecular interaction networks and the systems biology of mononuclear phagocytes and their precursors.  The Fellow will be responsible for data modeling and statistics, database design, and model validation.  The Fellow will prepare manuscripts and presentations and will present regularly at group and Center meetings.  The Fellow will assist the principal investigator in mentoring graduate and undergraduate students and will assist in the management of a software development team.  The Fellow assist the PI in grant and manuscript preparation.

Desired Qualifications

Research experience in statistics and scientific programming.  Knowledge of mass spectrometry and proteomics data analysis.  Familiarity with database design and database implementation. Knowledge of Java, R and SQL. Knowledge of molecular cell biology and biomedical research.  Excellent communications skills.  Ability to work independently and to mentor students and trainees.  Ability to work with laboratory personnel in designing experimental strategies and the analysis of experimental data.

Minimum Qualifications

Ph.D. or equivalent in a relevant discipline such as bioinformatics, biostatistics, physical chemistry biophysics or computer science.  Track record of academic productivity. 

Equal Opportunity Employer

The University of Texas is an equal opportunity employer. Qualified applicants are considered for employment without regard to age, race, color, religion, sex, national origin, sexual orientation, disability, or veteran status.

To apply: Qualified applicants should send a current NIH format biosketch, PDFs of three recent publications, a one page letter describing your research interests, and arrange to have three letters of recommendation sent to:

David States
Professor of Molecular Medicine
Professor of Health Information Sciences
1825 Pressler St., Room 437C
Houston, TX  77030

Email: David.J.States@uth.tmc.edu

Electronic communications preferred.

Institute of Molecular Medicine and School of Health Information Science
University of Texas Health Science Center at Houston