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Data Analytics Professor Adjunct Jobs in Missouri

Victor

Program Analyst

California, MO · On-site

$74 - $98/hr

Utilizes data analytics and reporting to provide recommendations for enhancing the entire outcomes ... populations, adjunctive service types, and contracting agencies to support the Victor Business ...

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Data Analytics Professor Adjunct information

What is a data analytics professor adjunct?

Data Analytics Professor Adjuncts are part-time or non-tenure-track instructors who teach courses in data analytics at colleges or universities. They often have significant professional experience in the field and may work in industry while teaching part-time. Their role involves preparing and delivering lectures, developing course materials, assessing student performance, and staying current with advancements in data analytics. Adjunct professors provide practical insights and help bridge the gap between academic theory and real-world application for students.

What are the key skills and qualifications needed to thrive as a data analytics professor adjunct, and why are they important?

To thrive as a Data Analytics Professor Adjunct, you need an advanced degree (typically a Master's or Ph.D.) in data analytics or a related field, along with deep knowledge of statistics, data modeling, and analytics methodologies. Familiarity with tools such as Python, R, SQL, and data visualization platforms like Tableau, as well as experience with Learning Management Systems (LMS) and relevant teaching certifications, is often required. Exceptional communication, mentorship, and curriculum development skills help engage students and foster a collaborative learning environment. These qualifications ensure effective teaching, up-to-date instruction, and the ability to prepare students for evolving data-driven careers.

What opportunities for industry collaboration are typically available to adjunct data analytics professors?

Adjunct Data Analytics Professors often have the chance to collaborate with industry partners through guest lectures, project-based learning, and mentorship programs. Many institutions encourage adjunct faculty to leverage their professional networks, bringing real-world data challenges into the classroom to enhance student learning. These collaborations not only enrich the curriculum but can also lead to opportunities for joint research, consulting projects, or student internships. Engaging with industry partners is an excellent way for adjunct professors to stay current with evolving analytics trends and expand their professional impact.

What are popular job titles related to Data Analytics Professor Adjunct jobs in Missouri?

For Data Analytics Professor Adjunct jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Data Analytics Professor Adjunct jobs in Missouri look for?

The top searched job categories for Data Analytics Professor Adjunct jobs in Missouri are:

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Cities in Missouri with the most Data Analytics Professor Adjunct job openings:

Data Analytics Professor Adjunct jobs near you

Part-time Faculty - Health Data Science & AI

Saint Louis University

Saint Louis, MO • On-site

$57K - $57K/yr

Part-time

Re-posted 16 days ago

Saint Louis University rating

8.9

Company rating: 8.9 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

33rd of 621 rated colleges and universities

Job description

Who is Saint Louis University? Founded in 1818, Saint Louis University is one of the nation's oldest and most prestigious Catholic universities. SLU, which also has a campus in Madrid, Spain, is recognized for world-class academics, life-changing research, compassionate health care, and a strong commitment to faith and service.
Adjunct Assistant/Associate Professor - Health Data Science and Artificial Intelligence Applications in Medicine
Department of Health and Clinical Outcomes Research
Saint Louis University School of Medicine
Position Summary
The Department of Health and Clinical Outcomes Research at Saint Louis University School of Medicine invites applications for Adjunct Assistant or Associate Professor positions to teach graduate-level courses and mentor students in applied health data science and artificial intelligence in medicine.
Primary Responsibilities
Adjunct faculty will teach one or more of the following courses or related electives within the Department's data science and AI curriculum:
  • Privacy, Ethics, Regulation & Policy
  • Introduction to Artificial Intelligence
  • Predictive Modeling and Machine Learning
  • Image Processing and Deep Learning
  • Bioinformatics & Biomedical / Clinical Data Analysis Natural Language Processing and Large Language Models
  • Reinforcement Learning for Clinical Decision Making
  • Telehealth & Telemedicine
  • AI for Precision Medicine & Genomics & Diagnostics
  • Research in Medicine

Additional responsibilities include:
  • Develop and deliver engaging, practice-based course materials.
  • Mentoring students on applied research and analytics projects using real-world datasets.
  • Collaborating with program leadership to ensure content quality, alignment with learning objectives, and current best practices in AI and health data analytics.
  • Participating in departmental meetings or student events, as appropriate for adjunct appointments.

Qualifications
Required:
  • Ph.D. or equivalent terminal degree in Health Data Science, Biomedical Informatics, Computer Science, Biostatistics, or a related field.
  • Demonstrated expertise in one or more areas of artificial intelligence, data science, or computational health analytics.
  • Proficiency with relevant tools and languages (e.g., Python, R, SQL, TensorFlow, PyTorch, SAS).
  • Strong communication skills and a commitment to high-quality, student-centered graduate teaching.

Preferred:
  • Experience teaching graduate courses in AI, data science, or health informatics.
  • Applied or research experience involving AI deployment in healthcare, biomedical, or clinical contexts.
  • Familiarity with regulatory, ethical, and equity considerations in digital health and AI.
  • Record of scholarly or professional contributions in data-driven healthcare innovation.

Appointment Details
  • Type: Adjunct, non-tenure track
  • Rank: Assistant or Associate Professor (commensurate with qualifications)
  • Location: Saint Louis University School of Medicine (in-person, hybrid, or online options available)
  • Start Date: Ongoing recruitment for upcoming academic terms

Application Instructions
Interested applicants should submit:
  • A cover letter outlining teaching interests and relevant experience
  • Curriculum vitae (CV)
  • Contact information for three professional references

Applications will be reviewed on a rolling basis until positions are filled.
Function
Faculty - Adjunct
Scheduled Weekly Hours:
20
Saint Louis University is an equal opportunity/affirmative action employer. All qualified candidates will receive consideration for the position applied for without regard to race, color, religion, sex, age, national origin, disability, marital status, sexual orientation, military/veteran status, gender identity, or other non-merit factors. If accommodations are needed for completing the application and/or with the interviewing process, please contact Human Resources at 314-977-5847.

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