| Employment Opportunities |
| Postdoctoral Fellow |
| Postdoctoral |
| Post doc |
| Postdoctoral Fellow |
| Postdoctoral |
| Brain Imaging Genetics Center for Neuroimaging, Division of Imaging Sciences, Department of Radiology |
| Contact |
| Lang Li |
| lali@iupui.edu |
| 317-274-4332 phone |
| Job Description |
Applications are invited for a Postdoctoral Fellow position in the Imaging Genomics Lab at the IU Center for Neuroimaging (CfN, http://neuroimaging.medicine.iu.edu/) and Center for Computational Biology and Bioinformatics (CCBB, http://compbio.iupui.edu/). The focus of the new position is on advanced neuroimaging-relevant bioinformatics technology development and application. Requirements include a Ph.D. in genetics, statistics, computer science, engineering (e.g., ECE, BME), or related bioinformatics disciplines, and a record of academic productivities. Preference will be given to candidates who have experience with advanced techniques for analyzing genomic array data, expression array data, and/or system biology data. A strong interest in integrated analysis of genome-wide polymorphism data, high throughput phenotype data, and other biomarkers in neuroscience studies would be highly desirable, as would strong programming experience using Matlab, R, SAS, and/or C/C++. The Imaging Genomics Lab is affiliated with two multidisciplinary centers at IU: (1) CfN, the hub for all neuroimaging research activities on campus, and (2) CCBB, the bioinformatics core of IUSM. There is also a close relationship to the Division of Hereditary Genomics of the Department of Medical and Molecular Genetics. This environment provides a unique interdisciplinary research opportunity incorporating expertise from neuroscience, radiology, computer science, genetics, informatics, statistics, and other related domains. The successful candidate will benefit from mentorship of a diverse research team and will be exposed to cutting-edge technology by collaborating on various genomic and imaging projects. The major focus of the research is to employ and develop state-of-the-art computational methods for studying genetic effects on brain by analyzing genome-wide polymorphism data and whole-brain imaging data together with other related biomarker data. The ultimate goal of this research program is to improve early diagnosis and mechanistic understanding of disease processes and treatment response for brain disorders such as Alzheimer's disease and schizophrenia, as well as the cognitive effects of cancer chemotherapy. IU has committed substantial resources to imaging research (see http://imaging.medicine.iu.edu/) including 3T MR, PET, PET/CT and radiochemistry. Outstanding preclinical small animal imaging resources in the same facility include two 9T magnets, PET, CT and an interventional suite. Future plans include a new neuroscience complex incorporating a brain imaging research center with additional modalities. IU has also made major investments in genomic and proteomic core facilities. Active clinical research programs in neuroimaging include neurodegenerative diseases (AD/MCI, PD, HD), effects of systemic cancer chemotherapy on cognition, pediatric brain injury and epilepsy, connectivity in schizophrenia and affective disorders, alcoholism and genetic risk, cerebral effects of psychopharmacological agents, and optimization of clinical fMRI methods. Major NIH sponsored research centers at IU relevant to imaging include Alzheimer’s Disease, Alcohol Research and Cancer. Integration of genomic, imaging and other biomarker data is a major cross-cutting theme. |
| Additional Information |
Interested candidates should forward their CV, selected reprints and a list of at least three references by email to:
Li Shen, Ph.D., Assistant Professor of Radiology
|
| Postdoctoral |
| Postdoctoral |
| Center for Computational Biology and Bioinformatics |
| Contact |
| Liang Dai |
| ldai@iupiu.edu |
| 317-274-8717 phone |
| Job Description |
| Postdoctoral positions are available at Center for Computational Biology and Bioinformatics, Indiana University School of Medicine and Indiana University School of Informatics to conduct theoretical and computational research in biophysics. Qualified candidates should have a PhD in Chemistry, Physics, Biology, or a related field. Experience with theoretical/computational biophysics, statistical mechanics, and/ or computer simulations is a plus but not necessary. However, strong mathematical and programming skills are essential. The main area of our interest is bioinformatic and theoretical study of proteins and protein-ligand, protein-DNA interactions. (please visit http://sparks.informatics.iupui.edu for details). Please send your CV with cover letter, and the names, addresses, and phone numbers of two references who are familiar with your work. Email to yqzhou@iupui.edu with plain text file or pdf file is preferred. Only STRONGLY motivated, creative, and hard-working person who want to be successful should apply. The university is an equal opportunity employer. |
| Post doc |
| Postdoctoral |
| Medical and Molecular Genetics |
| Contact |
| Lang Li |
| lali@iupui.edu |
| 317-274-4332 phone |
| Job Description |
Three post-doc fellow positions are available through Dr. Lang Li’s lab in the Indiana University School of Medicine. Position one focuses on pharmacogenomics. Research includes informatics, computational, and statistical methodology development in the genome-wide association and e-QTL studies in the clinical cancer research. The primary goal is to develop predictive signatures for drug exposure and response. The secondary goal is to identify novel SNPs or genes, which regulates the drug pharmacokinetics. Position two focuses on text mining among pharmacokinetics/pharmacodynamics/ pharmacogenetics (PK/PD/PG) literatures. Research includes entity recognition and information extraction methodology development for public domain PK/PD/PG parameters and relationships. These relationships will be validated in large electronic medical record data base and its associated biobank. The primary goal is for literature based discovery. The secondary goal is to identify new drug mechanisms with significant clinical implication. Position three focuses on molecular network constructions for cancer cells. Research includes dynamic and static network constructions based on time profile gene expression data, GWAS SNP data, TF ChIP-seq data, DNA methylation data, histone modification data in cancer cells. The primary goal is to identify estrogen signaling pathways. The secondary goal is to understand network topology and its critical components. Position one and three requires Ph.D. degree in genetics, bioinformatics, biostatistics/statistics, computer science, or other related areas. Programming skills in R and C are required. Position two requires Ph.D. degree in bioinformatics, computer science, and other related areas. Java and Pearl programming skills are required. Salary and benefits will be highly competitive. Interesting candidate can send your CVs and 3 reference letters to Dr. Lang Li directly, lali@iupui.edu. |


