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). Strong coding skills in R, Python, or similar languages. Excellent communication skills in English Required Application Materials: Cover Letter CV Two letters of recommendation, with contact information
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analysis and familiarity with R, python or another programming language Experience in molecular biology techniques including immunohistochemistry, qPCR, cell culture, ELISAs Software experience including
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with environmental/scientific datasets (cleaning, processing, analysis, synthesis). Strong programming skills, especially Python (or comparable scientific programming). Experience with LLM-assisted
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biological data. · Proficiency in R and/or Python for data analysis and visualization. · Experience working with large datasets in an HPC or cloud computing environment. · Demonstrated ability to work
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AI, predictive modeling, stratification, or biomarker development Programming in Python, R, MATLAB, or related scientific computing environments Reproducible research practices, including version
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environment Preferred Programming skills in Python or Fortran Coding and/or machine learning experience Key Responsibilities & Accountabilities Conduct original research as the primary responsibility
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. Proficiency in R (+SAS or Python a plus), and experience working with quantitative data analysis and comprehensive understanding of statistical concepts and methods are essential. Certifications/Licenses
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detector, and/or future detector upgrades. Candidates should have extensive programming experience in C++ and Python, and some experience in machine learning techniques is preferred. The position will be
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using AI tools, Python, MATLAB, R, or similar tools Position Details Expected start date: Summer/Fall 2026 (flexible) Competitive salary and benefits Location: University Park, Pennsylvania Penn State
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populations). Proficiency in R, Python, and SQL. Certifications/Licenses Required Knowledge, Skills, and Abilities Leadership role on funded grant(s). Preferred Qualifications Experience with EHR data such as