School of Medicine:
Established in 1930, Duke University School of Medicine is the youngest of the nation's top medical schools. Ranked tenth among its peers, the School takes pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where traditional barriers are low, interdisciplinary collaboration is embraced, and great ideas accelerate translation of fundamental scientific discoveries to improve humanhealth locally and around the globe.
Comprised of 2,400 faculty physicians and researchers, the Duke University School of Medicine along with the Duke University School of Nursing and Duke University Health System create Duke Health. Duke Health is a world-class health care network. Founded in 1998 to provide efficient, responsive care, the health system offers a full network of health services and encompasses Duke University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Primary Care, Private Diagnostic Clinic, Duke Home and Hospice, Duke Health and Wellness, and multiple affiliations.
DEPARTMENT OF BIOSTATISTICS AND BIOINFORMATICS
RESEARCH SCIENTIST, SR
The Duke University School of Medicine is seeking a Senior Research Scientist in the Duke Proteomics and Metabolomics Core Facility (https://genome.duke.edu/cores-and-services/proteomics-and-metabolomics). This position is to be filled by an expert quantitative metabolomic/metabonomic scientist with extensive experience in LC-MS/MS, one who has made notable scientific contributions to the field as evidenced by a strong track record of publications. The Core Facility is currently staffed with ten scientists (five PhDs, four of whom are Research Professors in the School of Medicine) with a combined 160+ years' experience in the analysis of peptides, proteins, and small molecules. The Facility is equipped with ~$10M in dedicated LC-MS/MS hardware and software, and it is in a custom-built (2017) 8,100 sq. ft. laboratory.
This scientist will work collaboratively with Principal Investigators from the 24 basic and clinical sciences departments at the School of Medicine and their post-doctoral associates and graduate students. While most of the work will be within the School of Medicine, this Facility also supports University Departments, notably including Biology and Biomedical Engineering. The work will include collaborative leadership of multiple metabolomics projects, as well as hands-on work for method development, validation, and implementation. While not a GLP lab, the Facility works under the spirit of GLP, thus experience in the use of rigorous metrics for validation and application of analytical methods is required. The proven ability to work under these rigorous quantitative conditions while multitasking in a fast-paced multidisciplinary team-oriented environment is a must. The successful candidate will have demonstrated the ability to contribute to all aspects of a project, including proposal writing, experimental design, sample processing, sample analysis, data analysis and preparation of manuscripts. Proven direct supervisory skills of analytical scientists is required. The successful candidate will have strong hands-on LC-MS/MS instrumentation skills, including the proven ability to collaboratively work with instrument manufacturers for both hardware and software development. The demonstrated ability to work collaboratively not only within a university, but with scientists from other universities, both nationally and internationally, on large projects is a plus. Additional skills of particular interest include: experience with both academic and industry work; experience in proteomics, both unbiased 'omic with nanoscale LC-MS/MS and targeted with microbore LC-MS/MS; experience in the analyses of drugs and drug metabolites; and experience with the use of NMR and/or LC-NMR in metabolomic studies.
A PhD in chemistry, biochemistry or a closely related field is required - a PhD in analytical chemistry is preferred. The candidate must have a minimum of 10 years' experience past their PhD. In addition, the candidate must have a proven track record of scientific success as demonstrated by an extensive publication record and related contributions to scientific research.
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Farmingdale, New York
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