Job Description
Summary
The internship will begin with an introduction to bioinformatics, project objectives, and foundational training in data handling and analysis. Interns will also learn to build AI-driven applications, including deep learning models and agentic pipelines for automating bioinformatics tasks such as annotation, prediction, and data integration.
Job Purpose
Provides postgraduates a temporary professional learning experience in which participants gain practical work experience related to a graduate’s field of study.
Must be a part of a formal program to train recent graduates in their specialized profession.
Job Duties
- Contributes to ongoing projects by managing biological datasets, conducting statistical analyses, and interpreting the results under the guidance of mentors.
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Engages in literature reviews, attends lab meetings, and presents the findings.
Minimum Qualifications
- Completion of postsecondary applicable degree/training program.
- May require licensure or certification in related field.
Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
Baylor College of Medicine fosters diversity among its students, trainees, faculty and staff as a prerequisite to accomplishing our institutional mission, and setting standards for excellence in training healthcare providers and biomedical scientists, promoting scientific innovation, and providing patient-centered care. - Diversity, respect, and inclusiveness create an environment that is conducive to academic excellence, and strengthens our institution by increasing talent, encouraging creativity, and ensuring a broader perspective. - Diversity helps position Baylor to reduce disparities in health and healthcare access and to better address the needs of the community we serve. - Baylor is committed to recruiting and retaining outstanding students, trainees, faculty and staff from diverse backgrounds by providing a welcoming, supportive learning environment for all members of the Baylor community.