Adjunct Faculty - Pharmaceutical Economics and Policy (PEP) On-Line Artificial Intelligence: Ma[...]

Massachusetts College of Pharmacy and Health Sciences; Boston (MA); Remote; USD 60,000 - 100,000; Part time

Job summary

An established institution seeks an adjunct faculty member to teach an online course on Artificial Intelligence, focusing on Machine Learning and Deep Learning. This role offers the chance to shape the future of students in the Pharmaceutical Economics & Policy Program, providing them with hands-on experience in real-world applications of AI. The ideal candidate will have a strong background in machine learning and a passion for engaging students in an online environment. Join a prestigious college dedicated to empowering its community and fostering innovation in healthcare education.

Qualifications

• PhD or Master's degree in relevant field required.
• Strong background in machine learning and AI is essential.
• Experience teaching at the graduate level preferred.

Responsibilities

• Deliver engaging online instruction in Pharmaceutical Economics & Policy.
• Provide students with a comprehensive syllabus and learning outcomes.
• Assist students through office hours and scheduled appointments.

Skills

Machine Learning

Deep Learning

Artificial Intelligence

R

Python

Healthcare Applications of AI

Education

PhD in Computer Science

Master's in Data Science

Master's in Biostatistics

Master's in Epidemiology

Master's in Health Informatics

Tools

ML/DL Libraries

Job description

Adjunct Faculty - Pharmaceutical Economics and Policy (PEP) On-Line Artificial Intelligence: Machine Learning and Deep Learning

1150
Boston, Massachusetts, United States

Description
The School of Pharmacy - Boston seeks an adjunct faculty member to deliver high quality learning experiences and education for students in the Pharmaceutical Economics & Policy Program (PEP). More specifically, we are looking for candidates to teach online, asynchronously, a course on Artificial Intelligence (AI): Machine Learning (ML) and Deep Learning (DL), focusing on supervised learning, ensemble methods and boosting, neural networks, support vector machines, kernel methods, clustering and unsupervised learning, maximum likelihood, graphical models, hidden Markov models, inference methods, and computational learning theory for graduate students in the master's in PEP program. This course is an intermediate level course, designed to help students gain hands-on experience in building, training, and optimizing models using homework programming assignments reflecting real-world health data. More details about course content can be delivered during the interview process. The following criteria are sought in applicants:

• Deliver didactic instruction in the Pharmaceutical Economics & Policy Program on the Boston campus.
• Provide students with an approved syllabus that includes course objectives and learning outcomes, teaching methodology, attendance policies in line with those of the School, texts and readings, assignments and deliverables, timelines and evaluation criteria.
• Provide engaging assignments that demonstrate the real-world applications of concepts covered.
• Uses the University's learning management system to post syllabus, assignments and other materials and to communicate with students
• Advises and assists students through office hours or scheduled appointments, by videoconference, phone or email, and through other University-approved mechanisms
• Additional responsibilities may be assigned by the supervisor

Requirements

Required:

• A PhD or Master’s degree in Computer Science, Data Science, Biostatistics, Epidemiology, Health Informatics, or a related field.
• Strong background in machine learning, deep learning, and AI.
• Experience with healthcare applications of AI is preferred.
• Proficiency in R and/or Python and ML/DL libraries.
• Prior experience teaching at the graduate level is preferred.
• Ability to engage students in an online environment effectively.

Apply
Please attach a cover letter and a curriculum vitae/resume. Finalist candidate(s) for this position will be subject to reference checks and a pre-employment background check as a condition of employment.

Applicants must be authorized to work for any employer in the U.S. MCPHS is unable to sponsor, or take over sponsorship of an employment Visa. MCPHS is also not an E-Verify institution.

About Us
Established in 1823, Massachusetts College of Pharmacy and Health Sciences (MCPHS) is the oldest institution of higher education in Boston, a city that is home to many of the world’s top universities and healthcare institutions. We are one of the largest and most highly-ranked schools for health and life sciences, and our alumni and faculty continually distinguish themselves in healthcare settings around the globe. MCPHS has more than 7000 students across campuses in Boston’s Longwood Medical and Academic Area (LMA), downtown Worcester, MA and downtown Manchester, NH. Our vision is to empower our Community to create a healthier, more equitable world, which we strive to achieve through our core values of integrity, community, engagement, collaboration, support, and innovation.

MCPHS is an equal opportunity employer dedicated to ensuring equal opportunity for all members of the University community. We aim to recruit, develop, and retain the most skilled faculty and staff. All qualified applicants will be considered for employment.

To apply, visit https://myjobs.adp.com/mcphs/cx/job-details?__tx_annotation=false&rb=JobElephant&reqId=5001076771400&c=1171851







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