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publication in a peer-reviewed journal or conference proceeding Proficiency in programming languages such as Python, R, and/or SAS Experience working with EHR, administrative claims and/or omics data is highly
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: Contribute code in Python (and/or C++/JavaScript), work with APIs, and support cloud-based workflows (Google Cloud/Azure experience is a plus). Documentation and communication: Maintain clear technical
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bioinformatics programming and high-performance computing environments, including Python, R, Linux-based workflows, and HPC/cloud platforms for reproducible pipeline development. Evidence of strong scholarly
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or manuscripts in preparation. Experience with fMRI data acquisition and/or analysis (e.g., FSL, SPM, AFNI, fMRIPrep, nilearn). Proficiency in at least one programming language (e.g., Python, MATLAB, or R
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programming skills (Stata, R, Python; MATLAB) • Knowledge of econometrics and macroeconomic theory • Plus if also skilled in blockchain analysis but not necessary. • Strong written and verbal communication
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Science, or a closely related field Prior coursework and working experience in data science, machine learning, statistics, or related areas Proficiency in Python for data analysis and modeling, machine learning
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. Knowledge of Python programming language, including experience in developing scripts and tools for data processing and analysis. Demonstrated ability to meet deadlines and deliverables. Willingness and
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 2 months ago
Biology, Bioinformatics, Computer Science, Applied Mathematics, Statistics, Biophysics, Biomedical Engineering, or a related field. Strong programming skills in at least one of: Python, R, C/C++, or Perl
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developing Python software and optimization workflows in Pyomo/PyROS is desired. This is a fixed-term position of up to 6 months and is inclusive of competitive salary and full-time benefits. The starting date
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. Mastery of R and Python is required to execute complex bioinformatics algorithms and statistical models. The applicant exhibits a deep understanding of human immunology and the physiological responses