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Healthcare Machine Learning Jobs in Washington, DC

Machine Learning Engineer

Mclean, VA ยท On-site

$105K - $115K/yr

Subsidized personal healthcare coverage : Medical, Dental & Vision, plus Wellness programs * Paid ... As a Machine Learning Engineer at Somatus, you will work collaboratively with our data and ...

Machine Learning Engineer

Ashburn, VA ยท On-site

$110 - $170/hr

Unissant, Inc. delivers innovative capabilities to the agencies that keep our nation healthy and ... We are seeking a Machine Learning Engineer to join our team and support our client in Ashburn, VA.

Machine Learning Engineer

Arlington, VA ยท Hybrid

$110K - $160K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... Our work is improving healthcare outcomes, increasing national security, and advancing our national ...

Unissant, Inc. delivers innovative capabilities to the agencies that keep our nation healthy and ... We are seeking a Machine Learning Engineer to join our team and support our client in Ashburn, VA.

Machine Learning Engineer

Arlington, VA ยท Hybrid

$110K - $160K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... Our work is improving healthcare outcomes, increasing national security, and advancing our national ...

Machine Learning Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this ... We also believe in taking care of our family - both yours and ours. Our benefits are phenomenal ...

Machine Learning Engineer

Reston, VA ยท On-site

$110 - $170/hr

Machine Learning Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this ... We also believe in taking care of our family - both yours and ours. Our benefits are phenomenal ...

Machine Learning Engineer

Arlington, VA ยท On-site

$110K - $160K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... Our work is improving healthcare outcomes, increasing national security, and advancing our national ...

Machine Learning Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this ... We also believe in taking care of our family - both yours and ours. Our benefits are phenomenal ...

Machine Learning Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this ... We also believe in taking care of our family - both yours and ours. Our benefits are phenomenal ...

Machine Learning Engineer

Arlington, VA ยท On-site

$77K - $176K/yr

Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ... care. Our recognition awards program acknowledges employees for exceptional performance and ...

Machine Learning Engineer

Arlington, VA ยท On-site

$77K - $176K/yr

Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ... care. Our recognition awards program acknowledges employees for exceptional performance and ...

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Showing results 1-20

Healthcare Machine Learning information

See Washington, DC salary details

$12.5K

$111K

$181.8K

How much do healthcare machine learning jobs pay per year?

As of Aug 24, 2026, the average yearly pay for healthcare machine learning in Washington, DC is $110,994.00, according to ZipRecruiter salary data. Most workers in this role earn between $24,900.00 and $181,200.00 per year, depending on experience, location, and employer.

What is a healthcare machine learning?

A Healthcare Machine Learning job involves developing and applying machine learning models to analyze medical data and improve healthcare outcomes. Professionals in this role work with electronic health records, medical imaging, genomics, and other healthcare data to assist in disease prediction, diagnosis, and personalized treatments. They collaborate with clinicians, data scientists, and engineers to ensure models are clinically relevant and ethically sound. Strong knowledge of machine learning, data preprocessing, and regulatory compliance (such as HIPAA) is essential.

What are the key skills and qualifications needed to thrive in healthcare machine learning?

To thrive in Healthcare Machine Learning, you need strong expertise in data science, machine learning algorithms, and biomedical informatics, often supported by an advanced degree in computer science, statistics, or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and healthcare data standards (like HL7 or FHIR) is highly beneficial, and certifications in data science or health informatics can provide an edge. Excellent problem-solving skills, attention to detail, and the ability to communicate complex technical concepts to diverse healthcare teams are valuable soft skills. These competencies are vital for developing robust, ethically sound machine learning solutions that improve clinical decision-making and patient outcomes.

What are some common challenges faced by professionals working in healthcare machine learning?

Professionals in Healthcare Machine Learning often encounter challenges such as navigating complex, unstructured, or incomplete healthcare data while ensuring strict compliance with privacy regulations like HIPAA. They must also bridge the gap between technical requirements and clinical needs, collaborating closely with medical professionals who may not have a technical background. Additionally, validating and interpreting machine learning models for real-world clinical use adds another layer of complexity, as solutions must be both accurate and explainable. Overcoming these challenges requires strong technical skills, effective teamwork, and a commitment to ethical, patient-centered solutions.

What does machine learning do in healthcare?

Healthcare machine learning involves developing algorithms that analyze medical data to assist in diagnosis, treatment planning, and predicting patient outcomes. Professionals in this field use tools like Python and TensorFlow, and often require knowledge of medical terminology and data privacy regulations to improve healthcare delivery.

What are the most commonly searched types of Healthcare Machine Learning jobs in Washington, DC?

The most popular types of Healthcare Machine Learning jobs in Washington, DC are:

What are popular job titles related to Healthcare Machine Learning jobs in Washington, DC?

For Healthcare Machine Learning jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Healthcare Machine Learning jobs in Washington, DC look for?

The top searched job categories for Healthcare Machine Learning jobs in Washington, DC are:

Infographic showing various Healthcare Machine Learning job openings in Washington, DC as of August 2026, with employment types broken down into 2% As Needed, 68% Full Time, 14% Part Time, and 16% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $110,994 per year, or $53.4 per hour.

$105 - $115/hr

Other

Medical, Dental, Vision, PTO

Posted 18 days ago


Job description

As a leading provider of outcomesโ€‘driven care for individuals and communities living with chronic conditions, Somatus is helping patients across the country enjoy More Healthy Days at Homeโ„ข.

Care at Somatus goes beyond treatment. Through a wholeโ€‘person approach, we deliver outcomesโ€‘driven integrated care and show up #SomatusStrong for our patients and teammates. We partner closely with health plans, health systems, and provider groups to support patients with, or at risk of developing, cardio, kidney, metabolic, or other chronic conditions.

We hire the brightest and boldestโ€”all talent driven by purpose and impact. Since our founding in 2016, our growth trajectory isnโ€™t just a milestoneโ€”itโ€™s a signal. Our leadership values culture and leads with intention as we remain dedicated to driving clinical excellence.

Does this sound like you? Keep reading.

How Weโ€™ll Support You:

We offer 25+ health, growth, and wealth work perks to help teammates be the best version of themselves, including:

  • Subsidized personal healthcare coverage: Medical, Dental & Vision, plus Wellness programs
  • Paid Time Off: Flexible PTO
  • Professional development: CEU and tuition reimbursement
How Youโ€™ll Make an Impact:

Somatus is on a mission to be the worldโ€™s best provider of integrated care for patients with or at risk of developing kidney disease. A core component of our mission is the effective and impactful use of data to support patient care. As a Machine Learning Engineer at Somatus, you will work collaboratively with our data and technology teams to help clinical, operational, and financial partners solve advanced analytical problems. Our culture is dataโ€‘driven, collaborative, resultsโ€‘focused, and fastโ€‘moving.

If you have a passion for building things and using data to impact the lives of patients, families, and communities, then we want to speak with you!

  • Partner with ML engineers, data engineers, software developers, product managers, data analysts, and clinical and operations team members to deliver machine learning solutions that make an impact.
  • Assist with endโ€‘toโ€‘end lifecycle for AI and machine learning projects, including idea generation, data and feature engineering, model training, model evaluation, model testing, model deployment, model monitoring, and maintenance.
  • Build pipelines for training, evaluating, and deploying models.
  • Perform exploratory data analysis, statistical modeling, causal inference, and other advanced analytical techniques to uncover meaningful insights.
  • Advise stakeholders on experimentation best practices and help design and implement A/B/n testing as needed.
  • Stay current with trends and developments in the AI, machine learning, and healthcare technology communities.
How Youโ€™ll Strengthen Our Team: Qualifications:
  • Bachelorโ€™s or Masterโ€™s Degree with 1 or more years of experience in a machine learningโ€‘related role, or PhD
  • At least 1 year of experience with Python
  • Some experience with relational databases and SQL
  • Understanding of software engineering best practices and software development lifecycle
  • Familiarity with Git and issue tracking tools such as JIRA
  • Familiarity with Linux and CLI
Preferred Qualifications:
  • Experience in healthcare industry and working with healthcare data
  • Experience with cloud infrastructure (Azure, AWS, or GCP)
  • Experience with Docker
  • Experience with Natural Language Processing
  • Experience with effectiveness research
Compensation:

$105,000 to $115,000 per year

We offer competitive compensation that reflects market conditions and recognizes the skills, experience, and contributions of our team members. Compensation for the role will depend on a number of factors, including a candidateโ€™s qualifications, skills, competencies, experience, and geographic location and may fall outside of the range shown above. In addition, this position may be eligible for a discretionary performanceโ€‘based bonus in accordance with the Company's applicable incentive compensation plans.

This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required of the employee. Duties, responsibilities, and activities may change at any time with or without notice. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Our Commitment to Diversity:

At Somatus, we celebrate what makes us unique โ€” our people. We believe that a culture intentionally built to foster and support our unique passions, experiences, and perspectives helps fuel us in the pursuit of our mission.

Somatus, Inc. provides equal employment opportunity to all individuals regardless of race, color, creed, religion, gender, age, sexual orientation, national origin, disability, veteran status, or any other characteristic protected by law. Discrimination of any type will not be tolerated.

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