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Computational Postdoctoral Researcher - Bacterial Genomics, Transcriptomics, and Single-Cell Genomic
. • Strong computational and programming skills (Python, R, Linux, and high-performance computing environments). • Demonstrated experience in genomics data analysis, evidenced by peer-reviewed publications
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Sciences, Data Science, Applied Mathematics, Artificial Intelligence or equivalent experience. Required Qualifications Strong written and verbal communication skills Strong programming skills (Python and/or
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inference methods (e.g., fixed effects, IV, DiD) Advanced regression techniques - Strong programming and analytical skills (R, Stata, Python, Mplus, or similar). - Evidence of research productivity or strong
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to leverage these for decarbonization strategies o Fluency in task automation, data cleaning, and analysis in a programming language, with a preference for Python and/or R o Strong organizational skills and
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related area. Demonstrated research experience with large language models, generative AI, agentic AI, or related foundation model technologies. Strong programming skills in Python and experience with modern
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; geometric or topological deep learning; higher-order network science; graph machine learning; or statistical physics of complex systems. Strong programming skills in Python and experience with modern
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Strong programming skills (e.g., C/C++, Python, MATLAB) and familiarity with scientific software development best practices. Evidence of scholarly productivity and effective collaboration in
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fluorescent imaging is helpful. Being proficient in Python, R, and/or command line applications is encouraged. FLSA Exempt Full Time/Part Time Full Time Number of Hours Worked per Week 40 Job FTE 1.0 Work
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, or a related quantitative field Additional Qualifications · Exceptional programming and analytical skills (including R, Python, and SAS or Stata) · Demonstrated expertise in analysis of claims data
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other multi-omics datasets to identify biomarkers and mechanisms of therapeutic response. Develop computational workflows for spatial biology and imaging data analysis using R, Python, or related tools