The successful applicant would help develop standard and custom bioinformatics/computational biology workflows for preprocessing, quality control, analysis, and visualization of high-dimensional assays for the Duke Center for Human Systems Immunology (CHSI). As a member of the Quantitative Sciences Division, of CHSI, they would work within a multidisciplinary team environment — clinicians, biomedical researchers, biostatisticians, and mathematical modelers — to develop and implement advanced bioinformatics/computational biology methods and pipelines.
Education: Masters or PhD in (bio)statistics, bioinformatics, computational biology, data science, or related quantitative discipline.
Required Skills: Experience with the processing and analysis of high-throughput sequinning data. Fluent in Python and/or R. Basic knowledge of Unix shell scripting.
Desirable Skills: Familiarity with immunological assays such cytokine, antibody, cytometry, antigen receptor analysis. Experience working on distributed clusters and/or cloud computing platforms and familiarity with containerization and workflow orchestration. Experience with classical and/or deep machine learning.
Please apply through the URL provided.