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Part Time Geology Data Science Jobs (NOW HIRING)

Rutgers University

$2.78K/wk

Position Information Recruitment/Posting Title Lecturers, Data Science Department Mathematics ... Position Status Part Time Posting Number 25FA1013 Posting Open Date Posting Close Date ...

Rutgers University

Lecturers, Data Science

Camden, NJ · On-site

$2.78K/wk

Position Details Position Information Recruitment/Posting Title Lecturers, Data Science Department ... Position Status Part Time Posting Number 25FA1013 Posting Open Date Posting Close Date ...

Canyons School District

$89.24/hr

Santa Clarita, CA Job Type: Part-Time Faculty Job Number: 202300051 Division: Mathematics, Science & Engineering Department: Geology Opening Date: 10/03/2023 Description We are now accepting ...

Booz Allen Hamilton, Inc.

Data Scientist

Washington, DC · On-site

$77.60K - $176K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Part Time Geology Data Science information

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$36K

$77K

$124.5K

How much do part time geology data science jobs pay per year?

As of Jun 1, 2026, the average yearly pay for part time geology data science in the United States is $77,030.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,000.00 and $93,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Part Time Geology Data Scientist, you need a solid background in geology, statistical analysis, and data science, often supported by a relevant degree. Familiarity with programming languages like Python or R, GIS software, and data visualization tools is typically required. Strong problem-solving, communication, and time management skills help you interpret complex data and share insights effectively. These capabilities are crucial for extracting actionable geological insights from data while balancing part-time responsibilities.

What are the typical responsibilities and collaboration opportunities for a part-time Geology Data Science role?

In a part-time Geology Data Science position, you can expect to work on tasks such as cleaning and analyzing geological datasets, creating visualizations, and supporting research or exploration projects with data-driven insights. You’ll often collaborate with geologists, engineers, and IT professionals to interpret findings and contribute to decision-making processes. Communication skills are important, as you'll need to explain complex data trends to colleagues who may not have a data science background. The role offers valuable experience in both geoscience and analytics, which can open doors for future full-time opportunities or specialized advancement in the field.

What is a part-time geology data scientist?

A part-time geology data scientist is a professional who applies data science techniques to analyze geological data, such as rock samples, seismic data, or mineral compositions, while working less than full-time hours. They use statistical analysis, machine learning, and data visualization to interpret complex geological information and support decision-making in areas like resource exploration or environmental monitoring. Part-time roles offer flexibility, making them ideal for students, professionals seeking work-life balance, or those supplementing other careers. Responsibilities may include data cleaning, creating predictive models, and collaborating with geologists and engineers. These professionals are valuable in industries like mining, oil and gas, environmental consulting, and academia.

What is the difference between Part Time Geology Data Science vs Part Time Environmental Data Science?

AspectPart Time Geology Data SciencePart Time Environmental Data Science
Required CredentialsGeology or Earth Science degree, Data Science skillsEnvironmental Science or related degree, Data Science skills
Work EnvironmentMining sites, geological surveys, research labsEnvironmental agencies, consulting firms, research institutions
Industry UsageMining, oil & gas, geological explorationEnvironmental consulting, conservation, policy analysis
Search & Comparison IntentUnderstanding geology-focused data roles in part-time settingsExploring environmental data science opportunities part-time

Part Time Geology Data Science involves analyzing geological data within industries like mining and oil & gas, often requiring geology credentials. In contrast, Part Time Environmental Data Science focuses on environmental data for conservation and policy, typically needing environmental science backgrounds. Both roles utilize data science skills but serve different industry needs and work environments.

What cities are hiring for Part Time Geology Data Science jobs? Cities with the most Part Time Geology Data Science job openings:
What are the most commonly searched types of Geology Data Science jobs? The most popular types of Geology Data Science jobs are:
What states have the most Part Time Geology Data Science jobs? States with the most job openings for Part Time Geology Data Science jobs include:
Part Time Geology Data Science jobs near you
Part-time Faculty - Health Data Science & AI

Part-time Faculty - Health Data Science & AI

Saint Louis University

Saint Louis, MO • On-site

$57.40K - $57.80K/yr

Part-time

Posted 23 days ago

Saint Louis University rating

8.7

Company rating: 8.7 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

38th of 530 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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