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Field
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science, or a related field. Relevant experience is welcomed in one or more of the following areas: Programming, particularly Python; laboratory automation; scientific instrumentation control; or AI/ML
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required. Knowledge, Skills and Attitudes: Proficiency in Python and/or R and in Linux shell scripting, with working knowledge of a workflow manager and containerization. Working knowledge of standard
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(e.g., Circana, NielsenIQ). Experience working with restricted data in an ADRF or similar secure data environment. Strong programming skills in Python and experience applying machine learning methods
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Ontologies, Biomedical Knowledge Graphs, Computational Biology, Bioinformatics, Biomedical Informatics or a related field. Programming experience in a language such as Python or R. Experience working in a
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experimental datasets, image series, or complex spectroscopy using languages such as MATLAB, Python, C++, or equivalent tools (e.g., Abel inversions, tomographic algorithms). Ability to design, troubleshoot, and
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research contributions. Strong programming and software-engineering experience in languages and environments relevant to the lab’s work, such as Python, C/C++, Java, JavaScript/TypeScript, containerization
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. Preferred: Integration of wet lab findings with computational analysis of multi-omic data (e.g., structural variants, transcriptomics) using R or Python pipelines. Mentoring and Professional Development
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or other animal models Computational proficiency in R, Python, or related programming languages Excellent written and verbal communication skills Ability to work both independently and collaboratively in
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computing languages such as shell, bash, python, matlab, UNIX Preferred Qualifications: ● Outstanding publication record in high-tier scientific journals covering neuropsychiatry and neuroimaging
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statistical analysis and coding in Python or R. Department/Program & College Description: Our commitment is to educate and prepare students for productive and gratifying careers in animal production, veterinary