[Hiring] Adjunct Instructor in Artificial Intelligence & Machine Learning @Brandeis University

Role Description

Brandeis University's Graduate Professional Studies (GPS) is looking for an industry leader to teach in our Master of Science in Applied Biotechnology & Enterprise program.

Course Title: Artificial Intelligence & Machine Learning in Drug Development

This course explores the use of AI and ML in pharmaceutical R&D. Topics include:

• Data preprocessing
• Predictive modeling
• Applications in target identification
• Drug screening
• Clinical trial optimization

Students gain hands-on experience using tools and algorithms to analyze real-world biotech data sets.

Qualifications

• Current active employment in the relevant biotech or pharmaceutical industry
• Deep knowledge of course-specific applications and industry practices
• Ph.D. or M.S.
• Strong communication and analytical skills
• Previous teaching experience or experience delivering professional training (preferred)
• Familiarity with online instructional tools and platforms (preferred)

Requirements

• Design a syllabus following program chair guidance and the syllabus template
• Create content aligned with course outcomes, integrating personal expertise
• Facilitate online discussions and provide timely, relevant feedback
• Maintain the course site and update content in the Moodle LMS
• Lead students in AI model development and interpretation using biotech case studies
• Help students critically assess the limitations and ethics of AI in pharmaceutical innovation

General Skill Requirements

• Strong interpersonal skills and the ability to foster student engagement
• Written communication skills, especially for online learning
• Ability to manage time effectively and respond promptly to students
• Proficiency in applying machine learning tools (e.g., Python, scikit-learn, TensorFlow) to drug discovery datasets

Application Process

• A cover letter highlighting relevant qualifications and teaching experience
• A current CV or resume
• Contact information for three professional references
• (Optional) Examples of teaching materials or professional publications related to leadership and industry innovation

Compensation

The compensation for this position is $6573.15.

Pay Range Disclosure

The University's pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements.

Equal Opportunity Statement

Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").