Data Analyst I — Biomedical ML & Bioinformatics Support

Louisiana State University; Baton Rouge, Northern (LA, KY); Hybrid; USD 30,000 - 55,000; Part time

Benefits offered by this job

Health insurance

Tuition exemption

Training opportunities

Job summary

Louisiana State University’s BioMMed division seeks a part-time WAE Data Analyst 1 to provide data science, bioinformatics, and ML support for biomedical research. You will organize, analyze, visualize, and interpret complex datasets, help develop ML workflows, and coordinate data-science activities with faculty and postdocs.

Responsibilities include documenting workflows, assisting with manuscripts, and creating training materials; you will also support research cores and collaborative labs

Qualifications

• Bachelor's degree required; relevant experience encouraged.
• 2+ years in data science, bioinformatics, or related fields preferred.
• Experience with machine learning workflows and data visualization.

Responsibilities

• Provide data science and computational support for biomedical and translational research projects.
• Coordinate ML activities across BioMMed-supported projects and collaborating labs; translate research questions into analyses.
• Assist with generation of preliminary analyses, figures, tables, and supporting materials for proposals and manuscripts.
• Develop workshops, tutorials, training materials, computational notebooks, and other educational resources.
• Maintain documentation of analytical workflows, scripts, resources, datasets, and project activities to promote reproducibility.

Skills

Data analysis

Machine learning

Bioinformatics

Statistics

Visualization

HPC

Cloud computing

Education

Bachelor's degree

Master's degree

Tools

Job description

Louisiana State University’s BioMMed division seeks a part-time WAE Data Analyst 1 to provide data science, bioinformatics, and ML support for biomedical research. You will organize, analyze, visualize, and interpret complex datasets, help develop ML workflows, and coordinate data-science activities with faculty and postdocs.

Responsibilities include documenting workflows, assisting with manuscripts, and creating training materials; you will also support research cores and collaborative labs