Duke University is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual’s age, color, disability, genetic information, gender, gender identity, national origin, race, religion, sexual orientation, or veteran status.
Faculty Cluster Hire in Genomics and Human Genetics
Duke University seeks up to three exceptional, collaborative, and creative scientists to join its faculty in tenure/tenure-track positions. We invite applications from researchers with an outstanding track record in developing and applying statistical, computational, or experimental approaches to cutting-edge problems in genomics and human genetics.
Candidates should hold a PhD or equivalent degree in a quantitative or experimental discipline. We are particularly interested in scientists working in evolutionary/population genomics, functional genomics, genome technology development, medical genetics, and statistical/computational genomics.
We strongly encourage applications from scientists with a demonstrated interest in collaborative research. Successful candidates will synergize with existing strengths at Duke in medicine, engineering, environmental sciences, and basic sciences. The collaborative nature of these positions will provide successful candidates with access to exceptional resources, including substantial cluster computing infrastructure, strong core facilities, a diverse set of large biomedical datasets, and multidisciplinary partnerships.
Interested applicants should submit materials (cover letter, CV, and a statement of research accomplishments and interests) and ask three referees to submit reference letters at https://academicjobsonline.org/ajo/jobs/9837. Further inquiries may be directed to email@example.com. Review of applications will begin on November 15, 2017.
The Duke Center for Genomic and Computational Biology (GCB) is seeking an IT Systems Administrator to deploy, administer, and support the computing, storage, and network infrastructure that the Center’s scientific computing needs for large-scale cutting edge genomics research depend on.
GCB launched in July 2014 to bring together scientists, engineers, physicians, and sociologists passionate about interdisciplinary research to explore big questions in genomics and computational biology. The Center employs state-of-the-art high-performance computing (HPC), networking, and storage infrastructure at a massive scale to meet the scientific computing needs driven by its cutting edge genomics research, technology, and education programs. Researchers at the Center and elsewhere at Duke routinely use this infrastructure to manage and analyze hundreds of terabytes of data. The Informatics team of the Center, in which this role is situated, includes top-notch HPC systems, IT support, and scientific applications development teams working hand-in-hand on promoting automation, reproducible practices, and enabling the Center’s researchers to do more and better science.
The incumbent will be responsible for implementation, maintenance, and troubleshooting the IT infrastructure operations of the Center. In collaboration with the Center’s IT leadership and other IT staff, the incumbent will implement and deploy systems that enable more effective use of data and compute resources; ensure that information and systems are secure; maintain, monitor, and upgrade systems; and work with Center personnel and IT staff to troubleshoot and devise solutions for problems with computing, network, and storage infrastructure.
Molecular Genetics of Vascular Malformations
A post-doctoral position is available to investigate the role of somatic mutation in vascular malformation syndromes. This newly funded study will investigate vascular malformations that have been proposed to follow a two-hit mutation mechanism, as previously described by our laboratory for Cerebral Cavernous Malformations (CCM). See Akers et al., 2009, Human Molecular Genetics 18:919-930, PMC26402099, and McDonald et al., 2014. Human Molecular Genetics 23:4357-70, PMC4103679 for our published studies on CCM.
The ideal applicant will have previous experience with library construction for next-generation DNA sequencing and with analysis of the sequence data.
Please submit a cover letter outlining your professional interests, your CV, pdfs of up to three of your published papers, and the names and email addresses of three references to Douglas.Marchuk@duke.edu