Adjunct Professor - California School of Management & Leadership - Los Angeles Campus

Bertelsmann • Tampa, FL

27d • Onsite

About The Position

The California School of Management and Leadership (CSML) at Alliant University is seeking qualified part-time instructors to teach in its STEM MSHA Master Science Healthcare Analytics courses at the Los Angeles campus. CSML has a 35-year history and an extensive global alumni base, focusing on professional practice, applied theory, and contemporary techniques to prepare global leaders. The school is expanding its ground programs, online modality, and geographical reach. The programs have a strong global dimension, with faculty and students from diverse international backgrounds, creating a multicultural learning environment. Many doctoral students publish their work, enhancing their professional stature. CSML offers Master's and Doctoral level programs.

Requirements

• Proficient computer skills, including proficiency with Microsoft Office programs.
• The ability to work independently and be self-motivated.
• High level of accuracy and attention to detail and the ability to solve problems.
• The ability to explain complex requirements in clear and concise terms
• The ability to be flexible with workflow to meet the needs of the department and students and to manage multiple tasks by required deadlines
• The drive to encourage, direct, hold accountable and guide candidates toward task completion.
• Must demonstrate the ability to work as an effective team member and develop trusting relationships with students and Alliant employees, as well as the Registrar’s Office and various academic departments.
• Culturally competent and ability to communicate and interact effectively with diverse people.
• Highly motivated, focused and results oriented.
• Ability to exercise discretion and tact in all interpersonal interactions, and to maintain confidentiality.
• Collaboration and partnering with other university stakeholders to support candidate success.
• Ability to make administrative/procedural decisions and judgments
• Advanced knowledge of data analytics, statistical modeling, and data-driven decision-making
• Expertise in machine learning, artificial intelligence, and predictive modeling
• Proficiency in data wrangling, data preprocessing, and feature engineering
• Advanced knowledge of healthcare analytics, clinical informatics, and population health data
• Expertise in healthcare data standards and formats (e.g., HL7, FHIR, ICD-10, CPT, SNOMED)
• Proficiency in statistical modeling, predictive analytics, and machine learning applications in healthcare
• Strong skills in data cleaning, integration, and interoperability across healthcare systems
• Competence in programming languages commonly used in analytics (e.g., Python, R, SQL, SAS)
• Experience with electronic health records (EHR) systems and health information exchanges (HIE)
• Knowledge of data visualization and reporting tools (e.g., Tableau, Power BI, R Shiny, ggplot2)
• Understanding of data governance, healthcare compliance, and regulatory frameworks (e.g., HIPAA, GDPR)
• Familiarity with cloud platforms and secure computing environments for sensitive health data
• Knowledge of big data technologies and population-level analytics for public health and clinical research
• Master’s, Doctoral or other terminal degrees from an accredited college or university, depending upon the needs of the course being taught.
• 5 years’ appropriate industry experience in the areas(s) of specialization and expertise required.
• Applicants must currently be authorized to work in the United States on a full-time basis.

Responsibilities

• Facilitating Classroom and Distance/Distributed Learning
• Course and syllabus preparation
• Class curriculum coordination and planning
• Assessment and evaluation of learners
• Mentoring and advising students
• Holding office hours and meeting with students
• Research/scholarship mentoring and supervision, particularly of MS theses, STEM projects, and PhD, EdD, DBA dissertations

What This Job Offers

• Job Type: Part-time
• Career Level: Mid Level