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Lecturer, 20.309
  • Job Number: 25672
  • Functional Area: Academic (non-faculty)
  • Department: Department of Biological Engineering
  • School Area: Engineering
  • Pay Range Minimum: $67,500
  • Pay Range Maximum: $89,100
  • Employment Type: Full-Time
  • Employment Category: Exempt
  • Visa Sponsorship Available: No
  • Schedule:
  • Pay Grade: No Grade


Posting Description

LECTURER, 20.309, Department of Biological Engineering, to join the staff of one of our most innovative undergraduate courses: Biological Instrumentation and Measurement; and teach and help design the curriculum for course 20.309.It is an engineering subject, taught in a quantitative style, that melds core concepts of engineering and life science. The course equips students with both practical skills and a robust theoretical understanding that enables them to harness the increasingly sophisticated measurement techniques essential for breakthroughs in life science. A key objective of the class is to explore the connection between theoretical models and real-world results. In addition to basic wet lab skills, the ideal candidate will be comfortable helping students assemble a fluorescence microscope from optical components, draw Bode plots, implement op-amp circuits on a breadboard, fabricate a PDMS microfluidic device, and debug simple code. Contribute to other classes, as well as departmental committees and activities. Lectures cover underlying theoretical concepts including mathematical models of observational error and uncertainty; optics and microscopy; image processing; electronic circuits; signals and systems; control theory; biological signaling systems; and circuit analogies. Other measurement techniques are sometimes also covered.

Job Requirements

REQUIRED: Master’s degree in Biological Engineering, Mechanical Engineering, Electrical Engineering, or Physics and experience in bioinstrumentation; practical experience with optics and electronics; strong theoretical background in linear systems and optics; experience with biological laboratory techniques; excellent computer skills; outstanding writing, speaking, and organizational skills; excellent interpersonal skills and ability to interact effectively with faculty, students, and administrative staff, a team player; ability to solve problems creatively and plan strategically; supervisory experience, specifically with students; and teaching experience. PREFERRED: Ph.D. in Biological Engineering, Mechanical Engineering, Electrical Engineering, or Physics.

A flexible schedule is required for evenings and weekends.

4/29/2026