Online Adjunct: AI & ML in Drug Development

brandeis; Waltham (MA); On-site; USD 73,000 - 89,000; Full time

Job summary

Brandeis University seeks qualified candidates for a course on Artificial Intelligence & Machine Learning in Drug Development. The role involves designing a syllabus, creating course content, and leading online discussions using real biotech case studies.

Ideal applicants will hold a PhD or MS in a relevant field, with deep knowledge of AI/ML applications in pharma and strong communication and analytical skills. Teaching experience and familiarity with online tools are preferred.

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.
• Preferred: Previous teaching experience or experience delivering professional training.
• Preferred: Familiarity with online instructional tools and platforms.

Responsibilities

• 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.

Skills

Communication skills

Analytical skills

Education

Ph.D. or M.S. in relevant field

Tools

Python

scikit-learn

TensorFlow

Job description

Brandeis University seeks qualified candidates for a course on Artificial Intelligence & Machine Learning in Drug Development. The role involves designing a syllabus, creating course content, and leading online discussions using real biotech case studies.

Ideal applicants will hold a PhD or MS in a relevant field, with deep knowledge of AI/ML applications in pharma and strong communication and analytical skills. Teaching experience and familiarity with online tools are preferred.