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

Ideal School of Allied Health Care Inc; Daly City (CA); Remote; USD 100,000 - 125,000; Part time

Job summary

The Ideal School of Allied Health Care Inc seeks an Adjunct Faculty member to teach an advanced online course on AI in Pharmaceutical Economics and Policy. Candidates must possess a relevant advanced degree and demonstrate expertise in machine learning, deep learning, and healthcare applications. The role involves engaging students through innovative assignments and providing mentorship in an online setting, contributing to building their skills for real-world health data applications.

Qualifications

• PhD or Master’s in relevant fields required.
• Strong background in ML, DL, and AI essential.
• Experience in healthcare applications preferred.

Responsibilities

• Deliver online instruction in Pharmaceutical Economics & Policy.
• Provide engaging assignments reflecting real-world applications.
• Advise and assist students through various mechanisms.

Skills

Machine Learning

Deep Learning

Artificial Intelligence

Engagement in an online environment

Education

PhD or Master’s degree in Computer Science or related field

Tools

R

Python

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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