The Computational Biology Program and Molecular Microbiology & Immunology at Oregon Health & Science University (OHSU) invite applications for postdoctoral positions in the areas of computational biology and bioinformatics. We seek motivated applicants to perform data-driven translational research in a highly interdisciplinary and collaborative environment to advance the progress in both methodology and biology. Through novel algorithm development and big biological data analysis, we have published papers in high impact journals like Nature, Nature Genetics, Nature Communications, Cell Stem Cell and Molecular Cell.
Successful applicants will be working on either (i) Bioinformatics tool development for Next Generation Sequencing data analysis like RNA-seq and ChIP-seq with applications in immunology, cancer biology and infection diseases; or (ii) Genotype to Phenotype Machine Learning (GPML) by integrating big multi-omics data and clinical data using graphical model, transfer learning and deep learning.
Requirements:
• The applicant should hold a doctoral degree in a related field such as Computational Biology, Computer Science, Bioinformatics, Biostatistics, Mathematics or Electrical Engineering.
• Either strong machine learning algorithm development or extensive experience in Next Generate Sequencing data analysis like TCGA;
• Programming proficiency in some languages (e.g., R, Python, Matlab, Perl, C, C++ or Java);
• At least one first-author publication in the last three years.
OHSU is ranked as one of the nation’s top medical school. With long-term resource commitments, such as the $1 billion Knight cancer “challenge”, substantial resource is provided to support state-of-the-art computational research, including a world-class exascale supercomputing cluster, close interactions and resource commitments by leading technology companies such as Intel, tight integration with clinical and basic research programs across campus.
Interested applicants should send a CV and the contact information of three references to Zheng Xia ([email protected]). Successful applicants will receive competitive pay and benefits commensurate with the applicant’s level of experience.
Visiting Scholars/Students with computational biology and/or machine learning/Cancer Biology/Genetics/Immunology background are also encouraged to contact me for potential opportunities in our team.
Successful applicants will be working on either (i) Bioinformatics tool development for Next Generation Sequencing data analysis like RNA-seq and ChIP-seq with applications in immunology, cancer biology and infection diseases; or (ii) Genotype to Phenotype Machine Learning (GPML) by integrating big multi-omics data and clinical data using graphical model, transfer learning and deep learning.
Requirements:
• The applicant should hold a doctoral degree in a related field such as Computational Biology, Computer Science, Bioinformatics, Biostatistics, Mathematics or Electrical Engineering.
• Either strong machine learning algorithm development or extensive experience in Next Generate Sequencing data analysis like TCGA;
• Programming proficiency in some languages (e.g., R, Python, Matlab, Perl, C, C++ or Java);
• At least one first-author publication in the last three years.
OHSU is ranked as one of the nation’s top medical school. With long-term resource commitments, such as the $1 billion Knight cancer “challenge”, substantial resource is provided to support state-of-the-art computational research, including a world-class exascale supercomputing cluster, close interactions and resource commitments by leading technology companies such as Intel, tight integration with clinical and basic research programs across campus.
Interested applicants should send a CV and the contact information of three references to Zheng Xia ([email protected]). Successful applicants will receive competitive pay and benefits commensurate with the applicant’s level of experience.
Visiting Scholars/Students with computational biology and/or machine learning/Cancer Biology/Genetics/Immunology background are also encouraged to contact me for potential opportunities in our team.