WAE- Data Analyst 1- BioMMed at Louisiana State University in Veterinary Medicine

Job description

All Job Postings will close at 12:01a.m. CST (1:01a.m. EST) on the specified Closing Date (if designated). If you close the browser or exit your application prior to submitting, the application progress will be saved as a draft. You will be able to access and complete the application through “My Draft Applications” located on your Candidate Home page. Job Posting Title: WAE- Data Analyst 1- BioMMed Position Type: Wages as Earned (Fixed Term) Department: LSUAM VetMed - PBS - BioMMed Administration (Ojasvi Dutta (00083972)) Work Location: Veterinary Medicine Pay Grade: Temporary Job Description: The WAE Data Analyst 1 will provide data science, bioinformatics, machine learning, and computational research support for the LSU Division of Biotechnology and Molecular Medicine (BioMMed). This part-time position will support faculty, research staff, postdoctoral researchers, graduate students, and trainees in the application of computational and data-driven approaches to biomedical and translational research. The Data Analyst will assist with the organization, analysis, interpretation, and visualization of biomedical datasets; support the development and implementation of machine learning workflows; coordinate computational resources and data science activities; and contribute to research, training, grant, and collaborative initiatives involving BioMMed and its associated programs and core facilities. Job Responsibilities: 40%- Data Science, Machine Learning & Bioinformatics Support: Provide data science and computational support for biomedical and translational research projects. Assist with data preprocessing, quality assessment, statistical analysis, visualization, and interpretation of complex biomedical datasets. Support analysis of genomic, transcriptomic, sequencing, imaging, clinical, and other biomedical datasets, as applicable and Support integration and analysis of data generated through BioMMed research cores and collaborating laboratories 20%- Research Project & Collaborative Support: Coordinate data science and ML activities across BioMMed-supported research projects and collaborative initiatives. Work with faculty investigators and research personnel to translate research questions into appropriate computational analyses. Track data science project requests, priorities, progress, deliverables, and completion. Facilitate communication between investigators, laboratory personnel, computational staff, and collaborators. 15%- Manuscript & Scientific Communication Support: Contribute technical descriptions of analytical methods, computational resources, workflows, and data management approaches. Assist with generation of preliminary analyses, figures, tables, and other supporting materials for proposals and manuscripts. Support documentation of BioMMed data science capabilities, research outcomes, usage, and collaborative activities. 15%- Training, Education & User Support: Assist in developing workshops, tutorials, training materials, computational notebooks, and other educational resources. Provide consultation and troubleshooting support for researchers using BioMMed computational resources and analytical workflows. 10%- Computational Resource Coordination & Documentation: Maintain documentation of analytical workflows, scripts, computational resources, datasets, and project activities. Promote reproducibility, appropriate data organization, version control, and research data-management practices. Perform other data science and computational research-related duties as assigned in support of BioMMed's research, training, and service missions. Minimum Qualifications: Bachelor's degree. LSU values skills, experience, and expertise. Candidates who have relevant experience in key job responsibilities are encouraged to apply— a degree is not required as long as the candidate meets the required years of experience specified in the job description. Preferred Qualifications: Master's degree; and 2+ years of experience in advanced