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Massachusetts Institute of Technology Lecturer in Cambridge, Massachusetts

Lecturer

  • Job Number: 24576

  • Functional Area: Academic (non-faculty)

  • Department: Department of Biological Engineering

  • School Area: Engineering

  • Employment Type: Full-Time

  • Employment Category: Exempt

  • Visa Sponsorship Available: No

  • Schedule: 9-month MAP

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    Posting Description

LECTURER, Department of Biological Engineering, to join the department as a Lecturer focused on teaching the computational aspects of biological engineering. Will help develop and deliver courses that integrate computational tools, data analysis, and modeling approaches to address key challenges in biological engineering; and focus on two undergraduate courses that emphasize modern computational approaches to modeling, analysis, genomics, and design: 20.320 Analysis of Biomolecular and Cellular Systems and a new Genomics class being developed.Find a full job description here (https://www.dropbox.com/scl/fi/7rr1yzgtizpt0v1oxmc32/Lecturer_Job-Description.pdf?rlkey=q3c62wb4rb8lwfi3h12flc98k&st=o1xyy5yv&dl=0) .

Job Requirements

REQUIRED: Master’s degree in Biological Engineering, Computational Biology, Bioinformatics, or a closely related STEM discipline; a minimum of two years of teaching experience at the university level with solid student evaluations; demonstrated excellence in teaching and curriculum development, particularly in computational and quantitative aspects of biological engineering; robust background in programming (e.g., Python, MATLAB, R) and experience with computational modeling, data analysis, genomic data, or machine learning applied to biological systems; ability to engage and inspire a diverse student body with varying levels of computational expertise; ability to receive and give constructive feedback to students and peers; proven interpersonal skills and ability to interact effectively with faculty, students, and administrative staff, with a commitment to creating an inclusive educational environment; and be a team player. PREFERRED: Ph.D. in a STEM field discipline; and experience with computational modeling of biological networks, synthetic biology, or multi-scale modeling. Job #24576

Work may occasionally require flexibility during weekends and evenings.OK (https://rms.peopleclick.com/RP/Home?Portal=RP&UserID=0#)

This is a 9-month Modified Annual Plan (MAP).

11/6/2024

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