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Part Time Data Science Intern Jobs in St Louis, MO

Vermeer Midwest-Chesterfield

IT Intern

Chesterfield, MO

$14.75 - $19.75/hr

IT Intern - Chesterfield, MO Part-Time Internship On-Site About Vermeer Midwest At Vermeer Midwest ... Currently pursuing a degree in Information Technology, Computer Science, Cybersecurity, Business ...

Vermeer Midwest-Chesterfield

IT Intern

Chesterfield, MO · On-site

$14.75 - $19.75/hr

IT Intern - Chesterfield, MO Part-Time Internship On-Site About Vermeer Midwest At Vermeer Midwest ... Currently pursuing a degree in Information Technology, Computer Science, Cybersecurity, Business ...

Vermeer Midwest-Chesterfield

IT Intern

Chesterfield, MO · On-site

$14.75 - $19.75/hr

IT Intern - Chesterfield, MO Part-Time Internship On-Site About Vermeer Midwest At Vermeer Midwest ... Currently pursuing a degree in Information Technology, Computer Science, Cybersecurity, Business ...

Sodexo

Campus Marketing Intern

Saint Charles, MO

$15/hr

Employment Type: Part-time Pay Range: $15. - $15. Working with Sodexo is more than a job; it's a ... data entry, filing, reporting, and updating documentation as needed. * May be part of a formal ...

Sodexo

Campus Marketing Intern

Saint Charles, MO · On-site

$15/hr

Employment Type: Part-time Pay Range: $15. - $15. Working with Sodexo is more than a job; it's a ... data entry, filing, reporting, and updating documentation as needed. * May be part of a formal ...

IQVIA

MedTech

Saint Louis, MO

$39 - $42/hr

We believe in pushing the boundaries of human science and data science to make the biggest impact ... part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of ...

Sage

Corporate Communications Intern

Saint Louis, MO · On-site +1

This paid, part-time internship (15-25 hours per week during normal office hours) begins summer ... Experience interpreting data and crafting graphs is a plus * Experience using social media for ...

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All JobsData Science Intern JobsPart Time Data Science Intern JobsPart Time Data Science Intern Jobs in St. Louis, MO

Part Time Data Science Intern information

See St Louis, MO salary details

$11

$21

$40

How much do part time data science intern jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for part time data science intern in St. Louis, MO is $21.88, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $23.85 per hour, depending on experience, location, and employer.

What is the difference between Part Time Data Science Intern vs Part Time Data Analyst?

AspectPart Time Data Science InternPart Time Data Analyst
Required CredentialsTypically pursuing or recent graduate in Data Science, Statistics, or related fieldsOften holds a degree in Data Analysis, Business, or related fields; certifications like Excel or SQL are common
Work EnvironmentInternship setting, often in tech companies, startups, or research labsBusiness environments, corporate offices, or consulting firms
Employer & Industry UsageUsed by companies seeking to train or evaluate potential future data scientistsCommon in industries like finance, marketing, and healthcare for routine data reporting

The main difference is that a Part Time Data Science Intern is usually a student or recent graduate gaining hands-on experience in data science projects, while a Part Time Data Analyst focuses on analyzing existing data to generate reports and insights. Internships are more learning-focused, whereas analyst roles are more task-oriented and require specific skills in data analysis tools.

Part Time Data Science Intern jobs near you
Infographic showing various Part Time Data Science Intern job openings in St. Louis, MO as of August 2026, with employment types broken down into 100% Part Time. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $45,509 per year, or $21.9 per hour.

Part-time Faculty - Health Data Science & AI

Saint Louis University

Saint Louis, MO • On-site

$57K - $57K/yr

Part-time

Re-posted 24 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

35th of 627 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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