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extraction, or machine learning; or o Ecology, evolutionary biology, biodiversity informatics, or similar, with a focus on large-scale, quantitative research. · Strong programming skills in Python and
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pipelines (e.g., handling transcriptomic or scRNA-seq datasets using R or Python). Special Instructions to Applicants: In order to be considered, you must upload your cover letter and resume. What We Offer
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. Familiarity with NGS data analysis and command-line bioinformatics (e.g., CRISPResso, Python or R). Experience mentoring students or technicians and coordinating lab operations. Special Instructions
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programming skills in Python and/or R; experience with SQL and Linux/Unix is desirable. • Demonstrated research experience in biomedical informatics, artificial intelligence (AI), machine learning, or data
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running data analysis from plant breeding programs. Ensuring compliance with data security standards and compatibility with R-based and/or Python analysis tools and Shiny apps to maintain open-source and
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analytics projects as needed (e.g., ticketing, fan engagement, and scheduling). Build and maintain data pipelines and models using R, Python, SQL, and cloud computing resources, following best practices
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of education materials). Required Qualifications: PhD in Biostatistics, Computer Science, Bioinformatics, Statistics, Mathematics or related field. Preferred: Proficient in R/Python. Prior experience in genetic
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) mathematics, physics, or a related STEM fields. Strong programming and data analysis skills (e.g., Python, R) Solid understanding of machine learning, deep learning, and data modeling techniques Job Description
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, Freesurfer, UNIX/LINUX computational environments and/or programming skills (MATLAB, R, C++; JAVA, Python) is desirable, but not required. Applicants who have experience in the study of children (especially