Part-time Lecturer, Bioinformatics (Boston)

Northeastern Company; Boston, Northern (MA, KY); Hybrid; USD 11,000 - 47,000; Part time

Benefits offered by this job

Comprehensive benefits

Job summary

Northeastern University is seeking part-time instructors to teach graduate courses in bioinformatics-related fields. Courses cover biological sciences with algorithmic components and programming methods, with opportunities to teach in-person or online as needed.

Responsibilities include preparing lectures, grading, and providing feedback while adhering to Northeastern policies and contributing to curriculum development. Applicants must have a PhD and relevant experience; STEM OPT caveats apply.

Qualifications

• PhD in bioinformatics, biology, or a closely related field.
• Experience applying computational methods to biological problems.
• Either prior teaching or more than 3 years in course-relevant work is required.
• Proven platform skills and willingness to receive coaching from faculty lead.
• Prior experience in a diverse higher education institution preferred.
• Knowledge of Python and/or R is strongly recommended.

Responsibilities

• Review and learn key teaching points from instructor guides.
• Prepare lectures based on course materials provided to support high-quality teaching.
• Facilitate respectful debates and discussions in in-person or online classes.
• Provide timely review and coaching feedback on assignments.
• Stay connected with student performance and progress.
• Contribute to curriculum development for the program.
• Part-time instructors work under the director with a faculty lead and will hold office hours.

Skills

Bioinformatics

Python

R

Teaching

Communication

Education

PhD in bioinformatics/biology or closely related field

Tools

Jupyter

Python

R

Job description

About the Opportunity

Individuals are sought to teach graduate courses in science and technology relevant to the bioinformatics field. Courses include primarily biological science courses with minor algorithmic components and primarily programming courses with a focus on bioinformatics methods. Such graduate courses seek experienced bioinformatics, biotech, and data science professionals with a desire to teach for the Bioinformatics Professional Science Master’s (PSM) Program depending upon the programs’ needs and enrollment.

Key Responsibilities

• review and learn key teaching points within existing instructor guides
• be willing to support high‑quality teaching and standards through preparation of lectures based on course materials provided
• facilitate rich respectful debates and discussions in an in‑person or online class
• provide timely review and grading of assignments with appropriate coaching and feedback to the students
• consistently connect with students and their performance
• contribute to the program’s curriculum development efforts
• and adhere to Northeastern’s policies
• Part‑time instructors work under the direction of the director with support from a faculty lead and will hold office hours as appropriate

Qualifications

• PhD in bioinformatics, biology, or a closely related field.
• Experience with the application of computational methods to biological problems.
• Either prior experience in teaching or more than 3 years of experience in course‑relevant industry or academic work is required.
• Proven platform skills required, as in an open, supportive personal style willing to receive assistance and coaching when needed from the faculty lead.
• Prior experience in a diverse higher education institution preferred.
• Knowledge of Python and/or R programming languages is strongly recommended.

Application Materials

• CV/resume
• Cover letter
• 3 references – provide name, title, company, phone, email, relationship (e.g. my current supervisor)

Applicants must be authorized to work in the United States. This position will not be sponsored for a work visa. Note for STEM OPT Participants: This position may not satisfy the 20‑hour per week minimum required to maintain compliance with STEM OPT guidelines. For example, a four‑credit course typically involves an estimated weekly commitment of 13.5 hours, which falls short of the required threshold.

Position Type

Academic

Additional Information

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

• Northeastern has a comprehensive benefits package for benefit eligible employees. This includes 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

The rate per credit is $2,932.00.

About Northeastern University

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—which includes 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.