Applied Bioinformatics Lecturer - Cell & Gene Therapy

NU USA Northeastern University; Boston (MA); Hybrid; USD 45,000 - 89,000; Part time

Benefits offered by this job

Medical

Vision

Dental

Paid time off

Tuition assistance

Wellness & life

Retirement

Commuting & transportation

Job summary

Northeastern University in Boston is seeking a part-time Lecturer to teach BIOL 6216 Applied Bioinformatics for the Cell and Gene Therapy Master’s Programs. The course covers foundational bioinformatics concepts, computational techniques, and programming skills for analyzing genomic and sequencing data, with emphasis on genetic modification and therapeutic genome editing.

The ideal candidate holds a PhD in Bioinformatics or related field, has 3–5 years of bioinformatics experience, and

Qualifications

• PhD in Bioinformatics, Computational Biology, Genomics, Biomedical Engineering, or closely related field.
• 3–5 years of bioinformatics experience, preferably in therapeutic or research settings.
• Teaching or supporting graduate-level bioinformatics courses preferred.
• Strong programming skills in Python and R; experience with genomic data analysis tools.

Responsibilities

• Review and learn key teaching points from instructor guides; prepare and deliver lectures and hands-on exercises.
• Facilitate in-person or online class discussions and promote active learning.
• Guide students through bioinformatics analyses in gene therapy and genome editing contexts; provide feedback and coaching.
• Maintain engagement with students regarding performance and progress; adhere to Northeastern policies.

Skills

Bioinformatics

Genomics

Python

R

NGS pipelines

RNA-seq

Variant calling

Teaching

Education

PhD in Bioinformatics or related

Tools

Python

R

NGS data analysis tools

Job description

Northeastern University in Boston is seeking a part-time Lecturer to teach BIOL 6216 Applied Bioinformatics for the Cell and Gene Therapy Master’s Programs. The course covers foundational bioinformatics concepts, computational techniques, and programming skills for analyzing genomic and sequencing data, with emphasis on genetic modification and therapeutic genome editing.

The ideal candidate holds a PhD in Bioinformatics or related field, has 3–5 years of bioinformatics experience, and