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Health Ai Jobs in Silver Spring, MD (NOW HIRING)

micro1 AI

AI Systems Engineer - Defense

Germantown, MD · On-site +1

$40 - $60/hr

... health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional ... Our AI tools are designed to complement, not replace, human decision-making. Disclaimer The ...

micro1 AI

AI Systems Engineer - Defense

Columbia, MD · On-site +1

$40 - $60/hr

... health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional ... Our AI tools are designed to complement, not replace, human decision-making. Disclaimer The ...

micro1 AI

AI Systems Engineer - Defense

Bethesda, MD · On-site +1

$40 - $60/hr

... health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional ... Our AI tools are designed to complement, not replace, human decision-making. Disclaimer The ...

micro1 AI

AI Systems Engineer - Defense

Reston, VA · On-site +1

$40 - $60/hr

... health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional ... Our AI tools are designed to complement, not replace, human decision-making. Disclaimer The ...

micro1 AI

AI Systems Engineer - Defense

Silver Spring, MD · On-site +1

$40 - $60/hr

... health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional ... Our AI tools are designed to complement, not replace, human decision-making. Disclaimer The ...

micro1 AI

AI Systems Engineer - Defense

Washington, DC · On-site +1

$40 - $60/hr

... health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional ... Our AI tools are designed to complement, not replace, human decision-making. Disclaimer The ...

micro1 AI

AI Systems Engineer - Defense

Arlington, VA · On-site +1

$40 - $60/hr

... health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional ... Our AI tools are designed to complement, not replace, human decision-making. Disclaimer The ...

micro1 AI

AI Systems Engineer - Defense

Mclean, VA · On-site +1

$40 - $60/hr

... health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional ... Our AI tools are designed to complement, not replace, human decision-making. Disclaimer The ...

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Showing results 1-20

All JobsHealth Ai JobsHealth Ai Jobs in Silver Spring, MD

Health Ai information

See Silver Spring, MD salary details

$35.7K

$109.6K

$198K

How much do health ai jobs pay per year?

As of Aug 13, 2026, the average yearly pay for health ai in Silver Spring, MD is $109,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,900.00 and $145,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Health AI position, and why are they important?

To excel in a Health AI role, you need a robust background in data science, machine learning, and healthcare informatics, typically supported by a degree in computer science or a related health or engineering field. Familiarity with tools such as Python, TensorFlow, clinical databases, and experience with HIPAA regulations and medical device standards are highly valued. Strong analytical reasoning, communication, and interdisciplinary collaboration skills help bridge the gap between technical and clinical teams. These competencies are crucial for developing effective AI solutions that improve healthcare outcomes while maintaining patient privacy and regulatory compliance.

What is a Health AI?

A Health AI job involves developing and applying artificial intelligence technologies to healthcare. Professionals in this field work on tasks such as medical data analysis, predictive modeling, and AI-powered diagnostics. They collaborate with doctors, researchers, and tech teams to improve patient outcomes and streamline healthcare processes. Roles may include AI engineers, data scientists, or clinical AI specialists, depending on the specific focus area.

What are the common day-to-day responsibilities for someone working in Health AI?

Professionals in Health AI are often involved in designing, developing, and validating machine learning models to solve complex healthcare challenges, such as disease prediction, patient outcome analysis, or workflow optimization. You might work closely with clinicians, data engineers, and regulatory specialists to collect and preprocess medical data, ensure models are clinically relevant, and meet strict privacy standards. Additionally, you'll present findings, monitor AI system performance in clinical settings, and continuously update algorithms to reflect the latest research and datasets. The role is highly collaborative and impactful, offering a dynamic work environment at the intersection of technology and healthcare innovation.

What are the most commonly searched types of Health Ai jobs in Silver Spring, MD?

The most popular types of Health Ai jobs in Silver Spring, MD are:

What job categories do people searching Health Ai jobs in Silver Spring, MD look for?

The top searched job categories for Health Ai jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Health Ai jobs?

Cities near Silver Spring, MD with the most Health Ai job openings:

Health Ai jobs near you
Infographic showing various Health Ai job openings in Silver Spring, MD as of July 2026, with employment types broken down into 77% Full Time, 14% Part Time, and 9% Contract. Highlights an 65% In-person, and 35% Remote job distribution, with an average salary of $109,552 per year, or $52.7 per hour.

Assistant/Associate Professor

Howard University

Washington, DC • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Howard University rating

8.1

Company rating: 8.1 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

162nd of 618 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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