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Biomedical Informatics Intern - Bioinformatics & Clinical Data

Location:
Philadelphia, PA
Posted:
August 27, 2026

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Resume:

HAFSA ALI

Biomedical Informatics Bioinformatics Clinical Informatics

New Jersey **********@*****.*** LinkedIn: Hafsa Ali

PROFESSIONAL SUMMARY

Biomedical Informatics graduate with hands-on experience in bioinformatics, genomics, R programming, and clinical healthcare. Faculty-supervised internship experience developing undergraduate R and Bioconductor learning activities involving genomic data, RNA-seq, and differential expression analysis. Clinical experience in ophthalmology supporting patient pre-testing, diagnostic imaging, documentation, and administrative workflow. Interested in entry-level biomedical informatics, bioinformatics, clinical informatics, healthcare data, and health information technology roles.

TECHNICAL SKILLS

Programming & Data Analysis: R, RStudio, Python (foundational), Microsoft Excel, basic data analysis, data visualization

Bioinformatics: Bioconductor, RNA-Seq, gene expression analysis, differential expression analysis, genomic data analysis

R / Bioconductor Packages: Biostrings, Biobase, GenomicRanges, BSgenome, DESeq2, limma

Clinical & Healthcare: Clinical workflow, patient intake, ophthalmic pre-testing, diagnostic imaging, patient documentation, insurance verification

Software: Microsoft Word, PowerPoint, Outlook

PROFESSIONAL EXPERIENCE

Biomedical Informatics / Bioinformatics Intern New York City College of Technology (City Tech)

Faculty-Supervised Undergraduate Internship January 2026 - Present

Develop an undergraduate Biomedical Informatics learning pathway integrating R programming with practical bioinformatics and genomics exercises.

Use R and RStudio to create beginner-friendly activities for biological and genomic data analysis.

Apply Bioconductor packages including Biostrings, Biobase, GenomicRanges, BSgenome, DESeq2, and limma.

Work with RNA-seq example data to explore gene-expression counts, sample metadata, exploratory data analysis, and differential expression concepts.

Create student and instructor versions of R assignments with sequential code, step-by-step instructions, and explanations of the biological purpose of each task.

Completed DataCamp coursework in Introduction to R, Introduction to Bioconductor in R, RNA-Seq with Bioconductor in R, and Differential Expression Analysis with limma in R.

Document project progress and present learning materials and findings to faculty for review and feedback.

Ophthalmic Technician / Clinical Assistant Mazy Eye, Lawrence Township, NJ

April 2025 - Present

Perform patient pre-testing and assist with ophthalmic diagnostic imaging before physician examinations.

Collect and document patient information and prepare patients for examination to support efficient clinical workflow.

Assist with patient intake, appointment scheduling, front-desk responsibilities, and insurance information preparation.

Maintain accurate patient documentation while following privacy and confidentiality requirements.

Communicate with patients, physicians, technicians, and administrative staff to support coordinated outpatient care.

Gain practical experience with electronic patient information, healthcare technology, clinical workflows, and medical data.

EDUCATION

Bachelor of Science in Biomedical Informatics New York City College of Technology (City Tech)

Graduated June 8, 2026

Relevant Coursework: Bioinformatics; Introduction to Biomedical Informatics; Programming for Biologists; Medical Informatics; Healthcare Databases; Database Systems Fundamentals; Healthcare Ethics; Health Services Management

ACADEMIC PROJECT

R & Bioinformatics Learning Pathway

Designed a four-step introductory pathway covering Introduction to R, Bioconductor, RNA-Seq, and Differential Expression Analysis.

Developed genomics and gene-expression exercises and reproducible student/instructor R scripts for undergraduate learning.

Applied RNA-seq concepts including count-data exploration, sample comparison, visualization, and differential gene-expression analysis.



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