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Clinical Artificial Intelligence Jobs (NOW HIRING)

HC1316 GE Precision Healthcare LLC

NY · On-site

$192 - $288/hr

D. in Artificial Intelligence, Computer Science, Software Engineering, Mathematics, Biomedical ... Deep understanding of clinical workflows, healthcare delivery systems, and integration of AI into ...

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How much do clinical artificial intelligence jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for clinical artificial intelligence in the United States is $34.62, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $32.93 per hour, depending on experience, location, and employer.

What is clinical artificial intelligence?

Clinical Artificial Intelligence (AI) refers to the use of advanced computer algorithms and machine learning techniques to assist in medical decision-making, diagnosis, treatment planning, and patient care. These AI systems analyze large amounts of medical data, such as images, lab results, and patient records, to provide insights that can help healthcare professionals deliver more accurate and efficient care. Clinical AI is increasingly being integrated into various healthcare settings, including hospitals, clinics, and telemedicine platforms, to improve patient outcomes and streamline workflows.

How does a clinical artificial intelligence specialist typically collaborate with healthcare professionals in a clinical setting?

Clinical Artificial Intelligence specialists work closely with physicians, nurses, and other healthcare staff to develop, implement, and refine AI-driven tools that support patient care. This often involves gathering clinical requirements, integrating AI solutions into existing workflows, and providing training to ensure effective adoption. Frequent interdisciplinary meetings are common to align technology with patient safety and regulatory standards. Building strong communication channels with clinical team members is essential for successful deployment and ongoing optimization of AI systems.

What are the key skills and qualifications needed to thrive in clinical artificial intelligence, and why are they important?

To thrive in Clinical Artificial Intelligence, you need a strong background in medicine, data science, and machine learning, often supported by advanced degrees in fields such as computer science, biomedical engineering, or health informatics. Familiarity with programming languages (Python, R), AI frameworks (TensorFlow, PyTorch), electronic health records (EHRs), and relevant certifications (such as Certified Health Data Analyst) is typically required. Excellent analytical thinking, problem-solving, and interdisciplinary communication skills help bridge the gap between technical teams and clinical practitioners. These skills are crucial for developing effective AI solutions that enhance patient outcomes and integrate seamlessly into healthcare environments.
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Clinical Artificial Intelligence jobs near you
Infographic showing various Clinical Artificial Intelligence job openings in the United States as of August 2026, with employment types broken down into 3% As Needed, 72% Full Time, 17% Part Time, and 8% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $72,002 per year, or $34.6 per hour.

Director, Data Science and Artificial Intelligence - Oncology / Prostate Cancer

Jobtailor

California, MO • On-site

$120 - $180/hr

Other

Posted 11 days ago

Job description

Responsibilities
  • Serve as primary scientific and strategic business leader for clinical‑stage Prostate Cancer Programs within Data, Data Science, and AI
  • Represent Data Science to Compound Team(s), where you will identify, develop and deploy Data Science solutions, including program and trial AI strategy to support clinical development
  • Provide subject matter expertise in prostate cancer clinical development, trial design, real‑world evidence generation, and ML/AI tools
  • With internal and external teams, leverage advanced analytics, including statistical models and AI/ML, to uncover insights from these complex datasets
  • Work closely with individual clinical project teams as well as functional area partners in Regulatory Affairs, Medical Affairs, Clinical Development, Epidemiology, Commercial Data Science, Statistics, and others to deploy Data Science solutions
  • Evaluate and manage external partnerships that can leverage new technologies/solutions/data assets for Prostate cancer program needs
Requirements
  • Advanced degree (PhD, MD, PharmD or MS) in a field experienced working with high‑dimensional datasets (e.g., Data Science, Pharmacoepidemiology, Biostatistics, Outcomes Research, Public Health, Computer Science)
  • A minimum of 8 years experience in drug development or related discipline in the field of biotechnology, artificial intelligence, omics, or real‑world evidence, or 8 years in clinical practice with outcomes research experience
  • Working knowledge of clinical oncology, such as treatment paradigms, patient experience, and clinical trials
  • An understanding of common data science research practices, such as predictive technologies, data mining and/or text mining
  • Hands‑on experience with a range of data science use cases in R&D (e.g., ECAs, site selection algorithms) and strong problem‑solving abilities
  • Experience working with healthcare‑related datasets, such as electronic health records (EHR), omics, or imaging datasets, with an understanding of their structure, limitations and applications to research
  • Prior experience working and driving external partnerships, either corporate or academic
  • Proven track record of managing timelines and driving key deliverables in a matrixed organization
  • Excellent communication, interpersonal, and written skills
Hard Skills
  • data science
  • machine learning
  • artificial intelligence
  • biostatistics
  • predictive technologies
  • data mining
  • clinical trial design
  • real‑world evidence generation
  • high‑dimensional datasets
  • clinical oncology
Soft Skills
  • problem-solving
  • communication
  • interpersonal skills
  • written skills
  • leadership
  • strategic thinking
  • collaboration
  • project management
  • time management
  • stakeholder engagement
Certifications & Qualifications
  • PhD
  • MD
  • PharmD
  • MS
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