The department of Biostatistics and Bioinformatics at Duke University Medical Center has a two-year postdoctoral research associate (RA) position open in computational statistics for flow cytometry. Flow cytometry is an advanced technology assay for measuring individual cell phenotype and function, and is critical for immune monitoring and immunotherapy applications in vaccine research, infectious disease and cancer. The RA will join an interdisciplinary team of researchers and students in computational biology, statistics and surgical sciences working together to develop statistical models and software for flow cytometry data analysis.
The RA roles include the management and analysis of cancer and HIV data sets, as well as working with our collaborators in statistics to develop an open source software suite for Bayesian machine learning in flow cytometry. Candidates should have a PhD in Computational Biology, Bioinformatics, Computer Science or related technical field, and strong programming skills in Python and C/C++. Knowledge of databases and a biological background are desirable but not necessary. The successful candidate will be expected to interact with experimentalists and clinicians, and to have a strong interest in learning the relevant biology.
This position is available immediately and will be filled as soon as possible. Appointment will be made on a renewable, one-year contract with the expectation of a two-year term. Please submit a cover letter (including a brief statement of interest), CV, and contact information for 3 references to Dr. Cliburn Chan, email@example.com. Duke University is an Equal Opportunity/ Affirmative Action Employer and Educator