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Health Data Analyst Part Time Jobs in Missouri (NOW HIRING)

... healthcare outcomes. This position collaborates with stakeholders on the development of forms to ... The Data Quality Analyst monitors and evaluates data trends and make recommendations to improve ...

$23.63 - $35.49/hr

Analytical Solutions, Big Data Analytics, Clinical Support, Communication, Computer Literacy, Data Management, Interpersonal Relationships, Organizational Leadership, Public Health Research ...

... healthcare outcomes. This position collaborates with stakeholders on the development of forms to ... The Data Quality Analyst monitors and evaluates data trends and make recommendations to improve ...

Exempt This position may be full time or part time, depending on availability. Pay Rate:$65,000-$90 ... Create data collection instruments, graph collected data, and critically analyze graphed data to ...

Exempt This position may be full time or part time, depending on availability. Pay Rate:$65,000-$90 ... Create data collection instruments, graph collected data, and critically analyze graphed data to ...

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Health Data Analyst Part Time information

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$10

$35

$58

How much do health data analyst part time jobs pay per hour?

As of Aug 3, 2026, the average hourly pay for health data analyst part time in Missouri is $35.01, according to ZipRecruiter salary data. Most workers in this role earn between $27.26 and $39.66 per hour, depending on experience, location, and employer.

What does a Health Data Analyst (Part Time) do?

A Health Data Analyst (Part Time) is responsible for collecting, processing, and analyzing health-related data to help healthcare organizations make informed decisions. Their work involves using statistical tools and software to interpret data trends, create reports, and ensure data quality. Part-time analysts often focus on specific projects or support larger analytics teams while maintaining flexibility in their schedules. They play a crucial role in improving patient care, operational efficiency, and compliance with healthcare regulations.

What are the key skills and qualifications needed to thrive as a Health Data Analyst Part Time, and why are they important?

To thrive as a Health Data Analyst Part Time, you need strong analytical skills, a background in statistics or public health, and a relevant degree such as in health informatics or biostatistics. Familiarity with data analysis tools like SQL, Excel, and statistical software (e.g., SAS, R, or Python) is typically required. Attention to detail, critical thinking, and effective communication are crucial soft skills for interpreting complex data and presenting actionable insights. These skills enable analysts to support evidence-based decisions and improve healthcare outcomes while working efficiently in a part-time capacity.

What are the most common challenges faced by part-time Health Data Analysts when balancing multiple projects?

Part-time Health Data Analysts often juggle several projects with tight deadlines while working limited hours, which can make prioritization and time management especially challenging. Communication is key, as analysts must coordinate with healthcare teams, IT staff, and supervisors to ensure data integrity and timely delivery of reports. Staying updated on evolving industry regulations and data privacy standards also requires proactive learning. Building strong organizational habits and leveraging collaborative tools can help overcome these hurdles, ensuring effective contribution despite part-time hours.
What are popular job titles related to Health Data Analyst Part Time jobs in Missouri? For Health Data Analyst Part Time jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Health Data Analyst Part Time jobs in Missouri look for? The top searched job categories for Health Data Analyst Part Time jobs in Missouri are:
Infographic showing various Health Data Analyst Part Time job openings in Missouri as of July 2026, with employment types broken down into 91% Full Time, 5% Part Time, 1% Temporary, and 3% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $72,829 per year, or $35 per hour.

Part-time Faculty - Health Data Science & AI

Saint Louis University

Saint Louis, MO • On-site

Part-time

Re-posted 27 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 614 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 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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