A lab is a place for us to do good research.
Houston Methodist Hospital Research Institute is located in the heart of the Texas Medical Center, the largest medical center in the world. The institute is surrounded by an unparalleled biomedical research environment, which consists of the Houston Methodist Hospital, Rice University, Baylor College of Medicine, UT MD Anderson Cancer Center, and more than 50 additional top institutes and hospitals. Texas is the #1 state to make a living, as recently ranked by Forbes. Houston is the largest city in Texas and the 4th largest in US, with an attractive living cost and a vibrant culture. It was recently named the most prosperous US city by The Business Journal. Salary and benefits can be highly competitive and commensurate with experience. Houston Methodist Hospital is frequently ranked by the FORTUNE Magazine into the list of the best employers in U.S..
Independent Faculty Positions
The Center for Bioinformatics and Computational Biology at the Houston Methodist Hospital Research Institute has an opening for an independent faculty member, at the Assistant Professor or Associate Professor rank, within a thriving scientific community with many potential collaborators. To apply for the position, please send your CV, cover letter, research statement, teaching statement, to Kaifu Chen, PhD (). Promising candidates will be invited for an interview and asked for 3 letters of recommendation from prior mentors.
Successful candidates will have a track record of productivity in bioinformatics and computational biology with high impact publications, and evidence of success in obtaining funding independently or in collaboration with other investigators. Ideally, the candidate will have relevant experience and expertise that is complementary to ongoing programmatic efforts in The Center. Areas of interest include but may not be limited to genomics, epigenomics, metagenomics, database, medical informatics, biostatistics, and single cell technologies. Startup package will be competitive and commensurate with the specific needs of the investigator. Faculty will have the opportunity to affiliate with the Cornell University Weill Cornell Medical College, and to work with students from the university.
Epigenomics: Instructor, Postdoc Fellow, or Technician Positions Positions for cancer or cardiovascular researches are available in the Chen lab, which is affiliated with Houston Methodist Hospital Research Institute and Cornell University Weill Cornell Medical College. To apply for this position, please send your CV, cover letter or research statement, and information for three or more references to the PI, Kaifu Chen, PhD ().
Candidates are expected to have research experience with high throughput sequencing as well as biochemical, molecular, cellular, and anima experiments. Successful candidates will have opportunity to work on a variety of topics on the basis of their major research interests, including but not limited to, chromatin 3D structure (Hi-C), RNA methylation, lncRNA, RNA splicing, RNA Polyadenylation, histone modifications, DNA methylation, and transcription factor bindings, with biomedical implications in cancer diseases, stem cell differentiation, and cardiovascular regenerative medicine. The candidates will be co-mentored by at least one of our accomplished wet-bench research collaborators, and will have extensive collaborations with computational biologists.
Bioinformatics: Instructor, Postdoc Fellow, or Data Analyst Positions
Bioinformatic positions are available in the Chen lab, which is affiliated with Houston Methodist Hospital Research Institute and Cornell University Weill Cornell Medical College. To apply for this position, please send your CV, cover letter or research statement, and information for three or more references to the PI, Kaifu Chen, PhD ().
Strong candidates must have a PhD in the area of computational biology, biostatistics, biophysics, or other related backgrounds. Research may entail developing computational algorithms or biomedical databases, inventing statistical methods, or combining cutting-edge bioinformatics technologies to make biomedical discovery using next generation sequencing data. Experience with cancer genomics, epigenetic regulation of transcription, and post-transcriptional regulation of RNA expression is strongly preferred. Successful candidates will have many opportunities to collaborate with top-tier biologists and physician scientists.