Adjunct Faculty, Bioinformatics - Oakland

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.

Responsibilities include the following: 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.

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)

The per credit rate is $2,387.03.

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

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.