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the guidance of PWBM team leader and PWBM’s Faculty Director, contribute to research and the development of models for policy and economic analysis in Python and R. Utilize programming skills (including Python
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; establishing data use agreements on behalf of the Center; and maintaining complete documentation. The successful candidates must have significant data programming experience in R (preferred) and/or Python, and
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the school. The systems managed by our group often support high-profile projects. Responsibilities include: Deploy and manage Linux systems Develop shell and python scripts Configure, manage, and optimize job
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single-cell genomics assays and analyze the results of these assays utilizing the R or Python coding languages. The ICRS B will also be responsible for training new staff and study personnel on an as
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Matlab, Julia, or Python. Contribute to other research activities such as writing research reports and literature reviews, conducting background research on recent policy developments, and preparing
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maintaining PWBM’s models for household taxes, government transfers, and other policy areas. Advanced statistical programming skills (for example in Python or R) are required for many of the Analyst’s tasks
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well as statistical software such as R and Python. Experience with social media analyses and Unix operating systems is an advantage. Successful completion of courses in statistics and research methods, along with
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environment management) Scripting/programming: Python, Bash, or another language Automation and CI/CD tools (build, deployment, infrastructure automation) Git-based workflows (source control, branching/merging
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of education and experience. Strong Python skills and hands-on experience with LLM APIs (OpenAI, Anthropic, Google) and agent frameworks Experience building agentic systems with tool use, multi-step reasoning
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Assembly). Experience with the culture of mammalian cells (e.g. tumor cell lines, T cells). Experience in flow cytometry, cell sorting, or confocal microscopy Experience in Python/MATLAB, machine learning