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.
Duke University’s (GCB) is seeking a Scientific Applications Programmer to design, create and deploy informatics solutions, including applications, databases, front-end interfaces, and other informatics tools as a member of the Center’s Genomic Analysis and Bioinformatics Shared Resource. The applicant will facilitate the Shared Resource’s bioinformatics scientists to work effectively with the diverse and massive amounts of data generated and utilized by Duke University Researchers.
The incumbent will design, create, and enhance workflows, databases, front-end interfaces, and other informatics tools to enable more efficient and reproducible capture, tracking, moving, distribution, sharing, integration, and analysis of a variety of genomic, genetic, phenotypic, clinical and related data ranging in volume from small to tens of Terabytes. The incumbent will frequently collaborate with others in the bioinformatics shared resource as well as the GCB Informatics team. The Center’s Informatics group is actively involved in initiatives to promote data and software skills among domain scientists as well as best practices for more productive and more reproducible computational genomics research. The incumbent will have opportunities to put these to practice in collaboration with researchers from Duke’s labs and core facilities. The incumbent will also participate in identifying, evaluating, and recommending new and emerging technologies to continually improve the data management, integration, querying, and analysis capabilities of the Center.
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 firstname.lastname@example.org. Review of applications will begin on November 15, 2017.
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