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. 
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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. 
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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, cliburn.chan@duke.edu. Duke University is an Equal Opportunity/ 
Affirmative Action Employer and Educator 
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