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Data Analytics Professor Adjunct Jobs in Reston, VA

Howard University

Adjunct Instructor

Washington, DC · On-site

The Graduate School and related schools/colleges invite applications for an adjunct instructor who ... Teach undergraduate and graduate level online Data Science and Analytics courses. SUPERVISORY ...

Bay Atlantic University

Adjunct Faculty

Washington, DC · On-site

$1.2K/mo

Adjunct Faculty Bay Atlantic University hires qualified candidates to fill positions that ... We have a large MBA Program and also Graduate degrees in Cybersecurity and Big Data Analytics. We ...

Umd

Professor & Associate Provost

College Park, MD

... adjuncts), and various other campus offices on a myriad of matters relevant to faculty. This role ... data, and research on faculty resources and issues. This role oversees a diverse portfolio of ...

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Data Analytics Professor Adjunct information

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$29

$70

$82

How much do data analytics professor adjunct jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for data analytics professor adjunct in Reston, VA is $70.29, according to ZipRecruiter salary data. Most workers in this role earn between $69.52 and $72.79 per hour, depending on experience, location, and employer.

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 Data Analytics Professor Adjuncts?

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.
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Data Analytics Professor Adjunct jobs near you
Assistant/Associate Professor

Assistant/Associate Professor

Howard University

Washington, DC • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago

Howard University rating

8.1

Company rating: 8.1 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

152nd of 612 rated colleges and universities

Job description

The Talent Acquisition department hires qualified candidates to fill positions which contribute to the overall strategic success of Howard University. Hiring staff "for fit" makes significant contributions to Howard University's overall mission.
At Howard University, we prioritize well-being and professional growth.
Here is what we offer:
  • Health & Wellness: Comprehensive medical, dental, and vision insurance, plus mental health support
  • Work-Life Balance: PTO, paid holidays, flexible work arrangements
  • Financial Wellness: Competitive salary, 403(b) with company match
  • Professional Development: Ongoing training, tuition reimbursement, and career advancement paths
  • Additional Perks: Wellness programs, commuter benefits, and a vibrant company culture

Join Howard University and thrive with us!
https://hr.howard.edu/benefits-wellness
We are seeking to hire an Assistant/Associate Professor. The Department of Pediatrics and Child Health in the College of Medicine at Howard University invites applications for a tenure-line, full-time, faculty position at the rank of Assistant/Associate Professor, with research expertise and teaching experience in advancing artificial intelligence (AI) for environmental health and community outcomes. The successful candidate will support the ongoing project on allergies and asthma. With an anticipated start date of August 2026, this position is part of the Office of the Provost Artificial Intelligence (AI) Cluster Hire Initiative, which aims to expand AI interdisciplinary research and instruction across the university.
SUPERVISORY AUTHORITY:
The candidate will supervise postdocs, students, research assistants, or lab interns conducting projects.
NATURE AND SCOPE:
The successful candidate will be housed in the Department of Pediatrics and Child Health in the College of Medicine (COM) and will develop an innovative, extramurally-funded research program applying AI techniques and advanced data science to questions at the intersection of environmental health, variation in health outcomes across populations, and clinical allergies and asthma care.
Research expertise in social and environmental determinants of health employing artificial intelligence methodologies is required.
The faculty member will lead interdisciplinary research at the intersection of computational health, AI, GIS, and medical data analytics, utilizing data science and data engineering approaches to convert unstructured data into structured formats suitable for large-scale analysis. This is an exciting opportunity to work with a cross-disciplinary team to build computational infrastructure to mobilize data. Experience designing systems to capture and structure unstructured electronic health record (EHR) data is required, and the design and maintenance of efficient, secure databases.
The successful candidate will publish in high-impact journals, present at national and international conferences, and pursue competitive external funding. The candidate will partner with another AI Cluster hire, housed in the School of Social Work and the College of Arts and Sciences' Department of Earth, Environment, and Equity (E3), to develop interdisciplinary coursework and advance collaborative research applying AI and machine learning to clinical, environmental, and behavioral datasets.
Preferred screening deadline of March 31, 2026, and will be considered until position is filled. Be sure to submit your cv, research statement, teaching statement, and letters of recommendation.
PRINCIPAL ACCOUNTABILITIES:
  • Lead interdisciplinary research at the intersection of computational health, AI, GIS, and medical data analysis, leveraging data science and data engineering approaches to convert unstructured data into structured, analyzable formats.
  • Apply machine learning models to analyze and interpret complex environmental and health data, with a focus on digital biomarker discovery.
  • Design systems to capture unstructured EHR data; demonstrate proficiency in Python or R, structured query language (SQL), cloud-based solutions (e.g., Microsoft Azure), and database design and management.
  • Publish research findings in high-impact journals, present at conferences, and pursue external funding through competitive grant submissions.
  • Partner with other AI cluster faculty to develop interdisciplinary coursework, including responsible and ethical AI in healthcare.
  • Contribute to teaching and mentoring medical, graduate, and undergraduate students.

CORE COMPETENCIES:
  • M.D., Ph.D., M.D./Ph.D., or M.D./M.S. or equivalent terminal degree in Environmental Health, Data Science, Epidemiology, Biomedical Informatics, Computer Science, or a related field.
  • Strong expertise in AI, machine learning, and natural language processing for data extraction and analysis.
  • Demonstrated experience working with electronic health records (EHRs) and digital biomarker data analysis.
  • Excellent written and oral communication skills, with a proven track record of publishing high-quality research.
  • Ability to work collaboratively in an interdisciplinary research environment.

MINIMUM REQUIREMENTS:
  • Experience with large-scale health data analysis, including the use of big data technologies.

  • Knowledge of regulatory and ethical considerations related to health data, including electronic health records governance.

  • Familiarity with public health datasets, environmental exposure assessment, and population health outcomes.

  • Experience in database management, data visualization, and bioinformatics tools.

  • Teaching experience in environmental health or related fields is desirable but not required.

Compliance Salary Range Disclosure
Compensation Range: $120,000 - $150,000

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