Part Time Lecturer, Applied Bioinformatics (Cell & Gene Therapies Program)

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

About the Opportunity Job Summary

We seek a colleague with expertise in bioinformatics and computational genomics to teach BIOL 6216 Applied Bioinformatics for the Cell and Gene Therapy Master’s Programs, depending on program needs and enrollment. This course introduces foundational bioinformatics concepts, computational techniques, and programming skills essential for analyzing genomic and sequencing data, particularly in the context of genetic modification and therapeutic genome editing.

Key Responsibilities

The Part-time Lecturer will review and learn key teaching points within existing instructor guides and materials, prepare and deliver lectures, demonstrations, and hands‑on exercises based on provided course content, and facilitate in‑person or online class discussions that encourage active learning and respectful debate. They will guide students through bioinformatics analyses in the context of genetic modification and therapeutic genome editing, including sequencing data interpretation and computational workflows, provide timely feedback, grading, and coaching to support student learning, and maintain consistent engagement with students regarding their performance and progress; and adhering to Northeastern’s policies. Part‑time instructors work under the direction of the program director and will hold office hours as appropriate.

Qualifications

The ideal candidate will hold a Ph.D. in Bioinformatics, Computational Biology, Genomics, Biomedical Engineering, or a closely related field, and have at least three to five years of experience in bioinformatics, preferably in a therapeutic or research setting. They should have demonstrated experience teaching or supporting graduate‑level courses, particularly in bioinformatics or genomic data analysis, and possess strong programming skills in languages commonly used in bioinformatics, such as Python and R. Candidates should also have experience with genomic data analysis tools and platforms, including NGS pipelines, RNA‑seq, or variant calling, and a strong understanding of cell and gene therapy concepts and applications. Effective communication skills, an open and supportive teaching style, and prior experience in a diverse higher education environment are also highly desirable.

Position Type Academic Additional Information

Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.

• medical
• vision
• dental
• paid time off
• tuition assistance
• wellness & life
• retirement- as well as commuting & transportation

Visit https://hr.northeastern.edu/benefits/ for more information. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.

Pay Range

Founded in 1898, Northeastern is a global research university and the recognized leader in experiential lifelong learning. Our approach of integrating real‑world experience with education, research, and innovation empowers our students, faculty, alumni, and partners to create worldwide impact. Our global university system provides our community and academic, government, and industry partners with unique opportunities to think locally and act globally. The system—including 14 campuses across the U.S., U.K., and Canada, 300,000-plus alumni, and 3,000 partners worldwide—serves as a platform for scaling ideas, talent, and solutions. The university’s residential campuses for undergraduate and graduate degrees are located in Boston, London, and Oakland, California. Our research and graduate campuses are in the Massachusetts communities of Burlington and Nahant; Arlington, Virginia; Charlotte, North Carolina; Miami; Portland, Maine; Seattle; Silicon Valley, California; Toronto; and Vancouver. Northeastern’s personalized, experiential undergraduate and graduate programs lead to degrees through the doctorate in 10 colleges and schools across our campuses. Learning emphasizes the intersection of data, technology, and human literacies, uniquely preparing graduates for careers of the future and lives of fulfillment and accomplishment. Our research enterprise, with an R1 Carnegie classification, is solutions oriented and spans the world. Our faculty scholars and students work in teams that cross not just disciplines, but also sectors—aligned around solving today’s highly interconnected global challenges and focused on transformative impact for humankind.