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Biomedical Ai Engineer Jobs (NOW HIRING)

AI Engineer

Arden Hills, MN ยท On-site

$110K - $130K/yr

... science, biomedical engineering, or a related field and enjoys learning and stepping into new ... AI knowledge lookup tools is a plus. We are a leading provider of remote cardiac monitoring ...

AI Engineer

Boston, MA ยท Hybrid

... biomedical technologies. You'll work at the intersection of software development, large language ... AI specialization * 2-3 years of professional software engineering experience * Healthcare and/or ...

... biomedical AI capabilities. Prior experience in healthcare is helpful but not required. Research ... Work closely with researchers, engineers, clinicians, and product teams to bring health ...

Design, develop, and deploy enterprise-grade AI applications using modern software engineering best ... Experience within healthcare, provider organizations, payer organizations, or biomedical ...

Position Summary The Department of Biomedical Informatics (DBMI) at Columbia University Irving ... We have an immediate opening for a Principal AI Engineer to help lead this work. The ideal ...

AI Engineer

Boston, MA ยท On-site

$105K - $145K/yr

... biomedical technologies. You'll work at the intersection of software development, large language ... AI specialization * 2-3 years of professional software engineering experience * Healthcare and/or ...

... biomedical AI capabilities. Prior experience in healthcare is helpful but not required. Research ... Work closely with researchers, engineers, clinicians, and product teams to bring health ...

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Biomedical Ai Engineer information

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$41K

$94.8K

$140K

How much do biomedical ai engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for biomedical ai engineer in the United States is $94,807.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $116,000.00 per year, depending on experience, location, and employer.

What is a Biomedical AI Engineer?

A Biomedical AI Engineer is a professional who combines expertise in artificial intelligence (AI), machine learning, and biomedical sciences to develop advanced technologies for healthcare and medical research. They design algorithms and models to analyze complex biomedical data, such as medical images, genomic sequences, and clinical records, to assist in diagnosis, treatment planning, and drug discovery. Their work helps improve patient outcomes, streamline healthcare processes, and support the development of new medical innovations.

What are the key skills and qualifications needed to thrive as a biomedical AI engineer, and why are they important?

To thrive as a Biomedical AI Engineer, you need a strong background in computer science, machine learning, and biomedical engineering, typically supported by a relevant degree or advanced studies. Familiarity with programming languages such as Python, frameworks like TensorFlow or PyTorch, and experience with healthcare data standards and regulatory compliance are crucial. Strong problem-solving, collaboration, and communication skills set exceptional candidates apart in this interdisciplinary field. These competencies are essential for developing effective AI solutions that address complex biomedical challenges while ensuring accuracy, safety, and ethical integrity.

How does a biomedical AI engineer typically collaborate with clinicians and researchers in a healthcare setting?

Biomedical AI Engineers often work closely with clinicians and researchers to understand clinical problems, define project requirements, and ensure that AI solutions are both technically robust and clinically relevant. This collaboration may involve regular meetings to gather feedback, translating medical data into actionable formats, and iteratively refining models based on real-world clinical use. Effective communication and a willingness to learn from domain experts are key to building tools that truly enhance patient care and research outcomes.

What are popular job titles related to Biomedical Ai Engineer jobs?

For Biomedical Ai Engineer jobs, the most frequently searched job titles are:

BioMedical AI Research Engineer

South San Francisco, CA โ€ข On-site

$227K - $295K/yr

Full-time

Re-posted 12 days ago


Key responsibilities

  • Design and implement agentic AI architectures capable of multi-step reasoning, planning, and tool use in biomedical contexts.

  • Develop LLM-based agents that retrieve, synthesize, evaluate, and act on biomedical information from various data sources.

  • Integrate external tools into autonomous agent workflows and evaluate system robustness and interpretability in biomedical settings.


Job description

About the Role
We are seeking a Biomedical AI Engineer to design and deploy agentic AI systems that can reason over biomedical knowledge, plan multi-step analyses, and autonomously integrate diverse scientific data sources to accelerate therapeutic discovery.

This role goes beyond traditional LLM + RAG pipelines. You will build AI agents that can retrieve, synthesize, evaluate, and act on biomedical information across literature, omics datasets, and clinical records operating as intelligent systems embedded within discovery workflows.

Key Responsibilities

  • Design and implement agentic AI architectures capable of multi-step reasoning, planning, and tool use in biomedical contexts.
  • Develop LLM-based agents that dynamically retrieve, rank, and synthesize knowledge from scientific literature, knowledge graphs, omics datasets, and clinical data.
  • Build memory and feedback mechanisms that allow agents to refine hypotheses, update context, and adapt to evolving data.
  • Integrate external tools (analysis pipelines, simulation engines, statistical models, databases) into autonomous agent workflows.
  • Architect scalable systems that combine structured and unstructured biomedical data within production-grade AI environments.
  • Collaborate closely with computational biologists, translational scientists, and software engineers to embed agentic systems into real-world discovery pipelines.
  • Evaluate robustness, reliability, and interpretability of autonomous systems in high-stakes biomedical settings.

Qualifications

  • Degree in Computer Science, Machine Learning, Computational Biology, Biomedical Informatics, or related field.
  • Strong hands-on experience with large language models, including fine-tuning, alignment, and structured prompting.
  • Experience building agent-based systems or complex LLM orchestration frameworks (e.g., multi-agent systems, tool-using LLMs, planning modules).
  • Proficiency in Python and modern ML frameworks (PyTorch, JAX, TensorFlow).
  • Experience working with large-scale biomedical datasets (genomics, transcriptomics, clinical records, or scientific corpora).

Preferred

  • Experience designing autonomous research assistants or AI systems that perform multi-step scientific reasoning.
  • Familiarity with knowledge graphs, hybrid symbolic-neural systems, or multimodal foundation models.
  • Understanding of privacy, security, and regulatory considerations in healthcare AI.

Compensation

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $227,000 - $295,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.
Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.