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submission of a manuscript for publication. Basic Qualifications Bachelor’s degree in computer science or closely related field Additional Qualifications Proficiency in programming languages (R, Python, Java
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genomics data, writing Python code for data analysis, and a downstream R pipeline for post-processing data using standard Bioinformatics libraries from Bioconductor. There will be opportunities
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, electrophysiology, immunohistochemistry, imaging, and/or in vivo recording methods); and experience with programming and data analysis in Python and/or MATLAB. 3/3/2026
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Python and the Flask framework to support data access, visualization, and interactivity; (iii) designing, maintaining, and documenting robust back-end systems for indexing and retrieval of complex datasets
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teams. - 20% Python Scripting: Uses Python to integrate, transform, and manipulate data from multiple internal and external data sources in support of analytics and reporting initiatives. Develops and
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or Python. Responsibilities include teaching two undergraduate courses in each of Lawrence’s three ten-week terms. The successful candidate will be the third statistics and data science faculty member in
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Familiarity with RHEL Satellite Server or similar Linux management platforms Basic scripting skills (e.g., Bash, Python) Strong communication and interpersonal skills Willingness to handle complex challenges
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data analytics concepts, including data cleaning, analysis, and visualization. Guide learners in the use of industry-standard tools such as spreadsheets, SQL, Tableau, Power BI, R, or Python, as
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and robustness across varying noise conditions. Familiarity with PAM workflows and tools and/or marine bioacoustics is required. Strong Python skills, ability to document code and workflows, and
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experience: Python, MATLAB, SPSS, Shell. Experience in working with Linux workstation. Excellent organizational and time-management skills and ability to self-direct work. Ability to work as a team member