POSTDOCTORAL RESEARCH FELLOWSHIPS
Several postdoctoral research fellowships are available in various areas of bioinformatics and genomics at Duke University. Current opportunities include fellowships in the Duke postdoctoral program in Bioinformatics and Genome Technology (BGT), further opportunities in cancer genomics in the Collaborative Oncogenic Data Exploration (CODEx) project at Duke, and opportunities in genetics and molecular genetics in the Center for Human Genetics (CHG).
Specific vacancies are:
Salary and benefits will be competitive. Starting dates are flexible, with all positions open and available right away. Some positions may also carry the title of Visiting Assistant Professor in a Duke department.
Applications should be made to the individual Fellowship of interest; please note the applicant information specific to each Fellowship, below. Screening for these positions is open, and will continue until the positions are filled. Applications from suitably qualified women and minority candidates are particularly encouraged. Duke University is an Equal Opportunity - Affirmative Action Employer.
For more information about Duke and the Research Triangle area, see www.duke.edu and www.genetics.duke.edu/rtp/rtp.htm
The BGT program is administered by two Centers of the Duke Institute for Genome Science and Policy: the Center for Bioinformatics and Computational Biology (www.isds.duke.edu/bioinformatics), and the Center for Genome Technology (www.genetics.duke.edu/genome/genome.htm). The appointments are initially for two years, but each may be extended for a third year. Beyond research duties, the BGT Fellows will each play a role in teaching on the BGT Graduate Program, and participate in educational activities with other BGT Fellows, faculty and graduate students.
The Fellow will join a multi-disciplinary team involved in research on new computational techniques and paradigms for representing, storing, searching, simulating, analyzing, and visualizing protein-protein interactions in biological structures. Faculty researchers involved are in the departments of computer science and biochemistry.
Applicants must have clearly demonstrated experience and skills in at least one and familiarity with some of the following areas: algorithms, computational geometry, computational topology, computational biology, molecular modelling, and structural biology.
Send CV and a letter of research interests, and ask three evaluators to send letters of reference, by US Mail or email to: Ms. Celeste Hodges, Department of Computer Science, Duke University, Box 90129, Durham, NC 27708-0129. Email: firstname.lastname@example.org, Tel: (919) 660-6511
The Fellow will join a multi-disciplinary team involved in research in the identification of alternatively spliced genes. The sequencing of the human genome and the mouse genome make it practical to reexamine the degree to which the properties of introns can be predicted from the primary genomic sequence. This project involves a combination of theoretical prediction work along with experimental verification. The Fellow will work with researchers in the departments of statistics and genetics, with the experimental aspects of this work being carried out using the facilities of the Center for Genome Technology.
We are looking for applicants whose interests bridge the fields of bioinformatics, molecular biology, and functional genomics.
Send CV and cover letter, and have three letters of reference sent, to Dr. Fred Dietrich, email@example.com. Letters of reference may alternatively be sent by post to Dr. Fred Dietrich, Department of Genetics, DUMC, Box 3568, Durham, NC 27710.
The Fellow will join a multi-disciplinary team involved in research on multiple gene expression technologies, including serial analysis methods (SAGE) and microarrays, in projects that utilize Human Genome Project sequence data with comprehensive gene expression data from the Cancer Genome Anatomy Project (CGAP) and DNA microarray data. The project involves development of computational tools for identifying functionally important transcriptional control elements from human genomic sequence data, with application in studies designed to identify and understand the genes involved in cancer formation, oncogene expression and resistance to drug therapy. Faculty researchers involved are in the departments of pathology, statistics, and biostatistics and bioinformatics.
A suitable applicant will have a PhD in computer science, statistical science or a related computational discipline. We seek applicants with experience in computational statistics and data analysis, strong software development skills and experience in algorithm design and implementation. Some familiarity with basic genome science is desirable.
Send CV and 3 letters of reference to: BGT Fellows Hiring Committee, Institute of Statistics & Decision Sciences, Duke University, Durham NC 27708-0251. Email applications are encouraged. These, and further enquiries, should be emailed to firstname.lastname@example.org
CODEx is a Collaborative Oncogenic Data Exploration project at Duke, forming part of a collaborative research program in cancer genomics. The appointees will join an international research group linking Duke researchers, a leading non-profit cancer center and biomedical industrial collaborators. The project involves development, refinement and implementation of statistical methods of gene expression analysis based on DNA microarray data in large-scale breast cancer studies, and the development of models relating expression data and other clinical information to cancer outcomes. Faculty researchers involved are in the departments of medical oncology, genetics and statistics.
CODEx fellows will be affiliated with the Duke BGT program through the Center for Bioinformatics and Computational Biology and the Center for Genome Technology. The appointments are initially for two years, but may be extended.
Send CV and 3 letters of reference to: CODEx Fellows Hiring Committee, Institute of Statistics & Decision Sciences, Duke University, Durham NC 27708-0251. Email applications are encouraged. These, and further enquiries, should be emailed to email@example.com
A CODEx fellowship is available for an individual in computational modelling and data analysis in gene expression studies for breast cancer. A suitable applicant will have a PhD in statistics, biostatistics or a related discipline, experience in biomedical data analysis and computation, and interests in cancer genomics. Prior experience with DNA microarray data analysis will be a plus.
A second CODEx position is available for an individual to work with the Duke research team and industrial partners in a coordinating role. A suitable applicant will have a PhD in statistics, biostatistics, bioinformatics or a related biomedical field, experience in genomics and interests in gene expression technology and methods.
HUMAN GENETICS FELLOWSHIPS
One or more Postdoctoral Fellowships are available in the Duke Center for Human Genetics (CHG), one of the five Centers of the Duke Institute for Genome Science and Policy. For information about the CHG please visit the website at wwwchg.mc.duke.edu.
The Center for Human Genetics has positions open for Postdoctoral fellows in Genetic Epidemiology or Statistical Genetics to work on gene mapping and identification projects in human complex diseases, including Alzheimer disease, autism, and Parkinson disease. Responsibilities will include data analysis and/or methodological development in ongoing research projects. A suitably qualified applicant will have a PhD in biostatistics, statistical genetics, epidemiology or a related field. Familiarity with standard statistical software and genetic analysis packages is preferred.
Send CV and 3 letters of reference to: CHG Genetic Epidemiology Fellows, DUMC Box 3445, Durham, NC 27710.
The Center for Human Genetics has positions open for Postdoctoral fellows in Molecular Genetics. Projects include such disorders as Parkinson disease, autism and Alzheimer disease. Applicants should have a PhD in the biological sciences, and be familiar with a variety of molecular techniques. State-of-the-art resources include high-throughput sequencers and denaturing HPLC.
Send CV and 3 letters of reference to: CHG Molecular Genetic Fellows, DUMC Box 3445, Durham, NC 27710.