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Field
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Candidates are sought for a Postdoctoral Research Associate position in the lab of Prof. Andrew Smith within the Department of Bioengineering and the Carl R. Woese Institute for Genomic Biology (IGB
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for data analysis and research. Machine Learning Skills: Experience with machine learning algorithms, transformers, or large language models to analyze genomic data. Computational Proficiency: Skilled in R
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detectors at Hanford, Washington and Livingston, Louisiana, which have made the first confirmed detection of gravitational waves. A vigorous LIGO Laboratory R&D program supports the development
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include: *Doctoral degree in economics or political science. *Academic experience in economic theory, game theory, and statistical analysis *Proficiency with relevant software, e.g. Python, R, and STATA
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profiling (e.g., flow cytometry, ELISA) Experience with statistical analysis software (e.g., GraphPad Prism, R) for immunological data interpretation Prior publication record in peer-reviewed journals related
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studies. Responsibilities include cleaning datasets from recently completed research studies, database management, conducting statistical analyses (SAS or R), review/verification and archival of programs
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learning and AI tools applied to biological datasets. Proficiency in programming languages such as Python, R, or similar and ability to set up and navigate high-performance computing environments. A track
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total of 5 years of relevant work experience as a post-doc and/or in an R&D position, excluding time associated with family planning, military service, illness or other life-changing events. Brookhaven
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cleaning datasets from recently completed research studies, database management, conducting statistical analyses (SAS or R), review/verification and archival of programs for research manuscripts, and
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research skills, experience using R, STATA, or SAS for both data management and analysis, excellent written and oral communication skills, and the ability to work independently and with collaborators