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Online Adjunct Python Jobs in St Louis, MO (NOW HIRING)

Online Adjunct Python information

See St Louis, MO salary details

$19

$51

$70

How much do online adjunct python jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for online adjunct python in St. Louis, MO is $51.38, according to ZipRecruiter salary data. Most workers in this role earn between $34.81 and $65.43 per hour, depending on experience, location, and employer.

What is an online adjunct Python instructor?

Online Adjunct Python instructors are part-time educators who teach Python programming courses remotely, usually for colleges, universities, or online learning platforms. They are responsible for preparing and delivering course materials, grading assignments, and supporting students virtually. These instructors typically have expertise in Python and experience in online teaching. Their roles are often contract-based, allowing flexibility and the opportunity to work with diverse student populations.

What skills and qualifications are needed to thrive as an online adjunct Python instructor?

To thrive as an Online Adjunct Python Instructor, you need strong expertise in Python programming, a relevant degree (often at least a master's), and prior teaching or instructional experience. Proficiency with online learning platforms such as Canvas, Zoom, and course authoring tools, along with relevant certifications like Python Institute credentials, is typically expected. Excellent communication, adaptability, and the ability to engage and motivate remote learners are standout soft skills in this role. These skills ensure effective knowledge transfer, student engagement, and a positive virtual classroom environment, leading to successful learning outcomes.

What are common challenges faced by online adjunct Python instructors, and how can they be addressed?

Online Adjunct Python instructors often encounter challenges such as engaging students in a virtual environment, managing diverse skill levels, and ensuring academic integrity during assessments. To address these, instructors can leverage interactive tools like live coding sessions, discussion boards, and regular feedback to foster engagement. Providing supplemental resources and offering flexible office hours can support students with varying experience. Utilizing plagiarism detection software and designing project-based assessments also helps maintain academic standards.

What is the difference between Online Adjunct Python vs Online Adjunct Data Analyst?

AspectOnline Adjunct PythonOnline Adjunct Data Analyst
Required CredentialsBachelor's in Computer Science or related field; programming certificationsBachelor's in Data Science, Statistics, or related; analytical skills
Work EnvironmentRemote teaching, curriculum development, student supportRemote instruction, grading, student mentorship
Employer & Industry UsageUniversities, online education platformsUniversities, online education platforms, training providers
Common Search & ComparisonYesYes

Online Adjunct Python roles focus on teaching programming courses, requiring coding skills and educational credentials. In contrast, Online Adjunct Data Analyst positions emphasize data analysis and interpretation, often requiring statistical knowledge. Both roles are remote, serve educational institutions, and are frequently compared by job seekers interested in online teaching careers in tech and data fields.

Which online adjunct Python job is in demand?

Online adjunct Python teaching positions are in demand at universities and online education platforms, especially for courses in programming, data science, and software development. Candidates with strong Python skills, teaching experience, and familiarity with virtual learning tools are sought after in this field.

Part-time Faculty - Health Data Science & AI

Saint Louis, MO • On-site


Saint Louis University
Colleges, Universities, and Professional Schools • 5 - 10K employees

8.9

Company rating: 8.9 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

34th of 622 rated colleges and universities

Great coworkers

People enjoy working here

Good employer


Part-time

Re-posted 20 days ago


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 Professorpositions 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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