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Biomedical Ai Engineer Jobs (NOW HIRING)

Stryker

Staff AI Engineer (Hybrid)

Menlo Park, CA · Hybrid

Bachelor's Degree in Computer Science, Machine Learning, Electrical Engineering, Biomedical Engineering, Mathematics, or related field. * 4+ years of AI/ML engineering experience, OR Master's Degree ...

Stryker

Staff AI Engineer (Hybrid)

Menlo Park, CA · On-site

Bachelor's Degree in Computer Science, Machine Learning, Electrical Engineering, Biomedical Engineering, Mathematics, or related field. * 4+ years of AI/ML engineering experience, OR Master's Degree ...

NYU Langone

Bachelor's degree in Computer Science, Data Science, Biomedical Informatics, Software Engineering, or a related field. * At least 0-1 years of experience in AI Solution development * Strong ...

NYU Langone

AI Engineer New York, NY

Manhattan, NY · On-site

Bachelor's degree in Computer Science, Data Science, Biomedical Informatics, Software Engineering, or a related field. * At least 0-1 years of experience in AI Solution development * Strong ...

AI Chopping Block

$280K - $320K/yr

About the Role We're looking for an Applied AI Engineer to join our Beneficial Deployments team ... Deep research experience in life sciences, biomedical research, or scientific computing. Bonus if ...

GDIT

AI/ML Delivery Engineer

WV · On-site +1

... biomedical research, improve operational efficiency, and enable data-driven decision-making to ... The AI Engineer Sr Principal must have: Education : Master of Science in Computer Science ...

Buck Institute

AI Data Scientist-Furman lab

Novato, CA · On-site

$60K - $75K/yr

The ideal candidate will be comfortable working at the intersection of AI, software engineering, data science, and biomedical research, and will bring the creativity needed to design new approaches ...

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Biomedical Ai Engineer information

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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:

Senior Software Engineer, X-Scientist

South San Francisco, CA • On-site

Xaira Therapeutics
See more jobs at Xaira Therapeuticsexternal

$189K - $245K/yr

Full-time

Re-posted 18 days ago

Key responsibilities

  • Build and maintain backend systems and APIs that connect AI models to scientific tools, datasets, and analysis workflows.

  • Develop tool-calling infrastructure, CLIs, SDKs, and workflow runners used by scientists and ML researchers for day-to-day tasks.

  • Design and implement reliable, long-running, multi-step workflows with strong testing, observability, logging, and maintainability.

Job description

About the Role

Xaira is pioneering an AI-native approach to discovering and developing the next generation of life-changing medicines. We are building predictive and agentic AI systems across drug discovery, and the X-Scientist team accelerates this mission by making AI-assisted science reliable, usable, and scalable across drug discovery workflows.

On the X-Scientist team, you will work at the intersection of AI, software engineering, and therapeutic discovery. You will collaborate closely with AI scientists, engineers, platform teams, and drug discovery experts to build systems that connect AI models, biological tools, datasets, and scientific workflows.

This role spans backend systems, APIs, tool-calling infrastructure, workflow orchestration, developer-facing SDKs and CLIs, and agentic interfaces that help scientists run analyses, inspect intermediate steps, and iterate on results.

What You'll Do

  • Backend systems and APIs that connect AI models to scientific tools, datasets, and analysis workflows

  • Tool-calling infrastructure, CLIs, SDKs, and workflow runners that scientists and ML researchers use day-to-day

  • Agentic interfaces where users can run analyses, inspect intermediate steps, and iterate on results

  • Observability and testing for long-running workflows that call external tools and produce scientific outputs

  • Design reliable systems for long-running, multi-step workflows with strong testing, observability, logging, and maintainability.

  • Collaborate with scientific and technical teams to turn complex research workflows into usable, extensible software.

What We're Looking For

  • Strong Python engineering fundamentals, with clean, typed, tested, maintainable code.

  • Experience building at least one of the following: a production library, CLI, API, SDK, backend service, workflow system, or developer platform.

  • Familiarity with LLM application development, agent frameworks, tool calling, MCP-style interfaces, or orchestration systems.

  • Comfort working with complex systems that combine multiple components, external calls, domain-specific logic, and evolving user needs.

  • Good instincts for abstraction, error handling, reliability, and designing software that can grow across use cases.

  • Strong communication skills and ability to work in a collaborative, multidisciplinary environment.

Nice to Have

  • Background or interest in computational biology, bioinformatics, protein design, single-cell genomics, biomedical AI, or adjacent domains.

  • Familiarity with biomedical databases or tools such as PubMed, UniProt, AlphaFold, PDB, DepMap, or related resources.

  • Curiosity about biology and scientific research; you do not need a biology background, but you should be excited to learn the domain and work closely with scientists and ML researchers.

Compensation

We offer a competitive compensation and benefits package, including base salary, on-target annualized cash bonus, and equity. The base pay range for this position is expected to be $189,000 - $245,000 annually; however, the base pay offered may vary depending on market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics is 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.

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