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Biomedical Ai Engineer Jobs (NOW HIRING)

NYU Langone Health

Engineer II, Gen AI

Manhattan, NY · On-site +1

$106K - $146K/yr

Bachelor's degree in Computer Science, Data Science, Biomedical Informatics, Software Engineering, or a related field. * At least 1-3 years of experience in AI Solution development * Strong ...

NYULMC

Engineer II, Gen AI

New York, NY · On-site

$106K - $146K/yr

Bachelor's degree in Computer Science, Data Science, Biomedical Informatics, Software Engineering, or a related field. * At least 1-3 years of experience in AI Solution development * Strong ...

NYU Langone Health

Engineer II, Gen AI

Manhattan, NY · On-site +1

$106K - $146K/yr

Bachelor's degree in Computer Science, Data Science, Biomedical Informatics, Software Engineering, or a related field. * At least 1-3 years of experience in AI Solution development * Strong ...

NYU Langone Health

Engineer II, Gen AI

Manhattan, NY · On-site +1

$97K - $140K/yr

Bachelor's degree in Computer Science, Data Science, Biomedical Informatics, Software Engineering, or a related field. * At least 1-3 years of experience in AI Solution development * Strong ...

Varsity Tutors

Biomedical Engineering Tutor

Detroit, MI · Remote

$40/hr

... Biomedical Engineering tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

Biomedical Engineering Tutor

IA · Remote

$40/hr

... Biomedical Engineering tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

Biomedical Engineering Tutor

KS · Remote

$40/hr

... Biomedical Engineering tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

Biomedical Engineering Tutor

Arlington, TX · Remote

$40/hr

... Biomedical Engineering tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

Biomedical Engineering Tutor

Durham, NC · Remote

$40/hr

... Biomedical Engineering tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

Biomedical Engineering Tutor

Memphis, TN · Remote

$40/hr

... Biomedical Engineering tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

Biomedical Engineering Tutor

Hartford, CT · Remote

$40/hr

... Biomedical Engineering tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

Biomedical Engineering Tutor

Miami, FL · Remote

$40/hr

... Biomedical Engineering tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

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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:

Lead Technical Writer, Clinical AI/ML & SaMD

On-site, Remote

Grant Engine
Biotechnology Research and Development • 11 - 50 employees
Learn more about Grant Engineexternal

Full-time, Part-time

Re-posted 19 days ago

Job description

Lead Technical Writer, Clinical AI/ML amp; SaMD
We are seeking a Lead Writer to partner closely with a Program Manager in developing high-stakes federal proposals (e.g., ARPA-H, BARDA, SBIR) for industry-focused clients. The work will span regulated clinical AI and adjacent biomedical AI product development, including SaMD clinical support tools, autonomous patient-facing and clinical workflow agents with post-deployment oversight and safety monitoring, computer-vision image analysis systems, and AI-enabled medical devices (including edge AI and/or surgical robotics), with additional exposure to computational AI for drug discovery.
This is NOT a general grant-writing or editing role. We are seeking someone who can shape reviewer-credible technical narratives at the intersection of clinical AI/digital health development and deployment, rigorous validation and safety monitoring, SaMD regulatory and authorization requirements, and milestone-driven program design. They will lead the full range of technical activities required to conceptualize, prepare, and deliver grant proposals to NIH, DoD, and other government agencies. The ideal candidate is comfortable bridging next-generation innovation with real-world execution—able to see what may be technically possible and translate it into a plan that can be responsibly proposed, rigorously evaluated, and ultimately deployed to improve human health. This role requires exceptional technical writing and cross-functional synthesis, fluency in AI/ML development and validation, and the ability to handle multiple concurrent projects each with varying deadlines for execution.
Grant Engine is focused on securing funding for leading companies that have high potential to make a difference in their domain. Our vision is to improve and extend human life by supporting our clients. In this mission, we selectively work with clients whose technology has the potential to significantly improve upon the standard-of-care. In this pursuit, we hold the following core values in high regard: Trust, Customer Success, Excellence Without Bias, Teamwork.
We realize that to build this vision, Grant Engine must be a leader in the field. We identify innovation from every corner of our company and we are committed to innovation in every facet of our work. Each of us works to get results by employing, or pioneering, cutting-edge techniques in communication and program management to realize our vision. We know that every detail matters. We are committed to successfully delivering on our goals so that our partners can deliver on theirs. Everyone on our team realizes that when clients win, our mission is accomplished.
A key tenet of the Grant Engine team is that we work well together! We trust one another’s judgment and have established an effective team dynamic of delivering on our individual responsibilities to best serve our clients.
This position is part-time or full-time opportunity. Individuals with superior skills and a demonstrated track record will be considered for immediate full-time hire.
Job Title:
Lead Writer, Technical Lead, Clinical AI/ML agents
Status
Part-time or full-time opportunity (based on experience, proposal volume, and demonstrated fit).
Location
USA (remote/client-facing role).
Deliverables
Proposal Leadership amp; Drafting
  • Serve as a senior, client-facing proposal architect and lead writer for ARPA-H and related federal R amp;D pursuits in clinical AI/digital health.
  • Work directly with external clients (founders, clinicians, technical teams, consortium partners) to shape proposal strategy, technical framing, and reviewer-facing narrative.
  • Partner with internal proposal managers to align on timelines, deliverables, and submission workflows.
Draft All Proposal Sections
  • Draft all major proposal sections (not just outlines or edits), including technical narrative, significance/impact, innovation, work plan, milestones, evaluation/validation strategy, risk/mitigation, and related supporting sections as applicable.
  • Translate solicitation requirements and client inputs into clear, cohesive, submission-ready draft content.
  • Build proposal structure (workstreams/technical areas, dependencies, milestones, go/no-go logic) and write it into a reviewer-credible narrative.
Client Iteration amp; Content Refinement
  • Lead working sessions with external clients to extract technical and clinical content.
  • Iterate drafts directly with clients through review cycles, incorporating feedback while preserving clarity, coherence, and strategic positioning.
  • Resolve gaps, contradictions, and unsupported claims across sections.
  • Drive revision cycles toward a coherent, technically credible, reviewer-ready final proposal.
Necessary Qualifications:
  • PhD preferred. Master’s Degree in biology, biochemistry, biomedical engineering, other life science, or relevant background, essential.
  • Minimum 1-year scientific writing experience, preferably in a healthcare/research/academic environment.
  • Proven experience writing grants, including NIH SBIR proposals, and/or experience with other funding mechanisms.
  • Demonstrated ability to shape technical narratives for AI/ML, digital health, and software-enabled healthcare technologies in real deployment contexts.
  • Strong fluency in AI/ML technology development, clinical validation concepts, implementation and deployment realities, and regulatory/authorization constraints.
  • Proven ability to operate under ambiguity and deadline pressure while improving rigor.
Additional Qualifications and Competencies:
  • Critical Evaluation: Objectivity, critical thinking, problem solving, curiosity, inquisitiveness, research methodology, knowledge management, online search skills.
  • Communication for Impact: Exceptional verbal and written communications skills, command of the English language, strong presentation skills, diplomacy, perceptual objectivity, active listening, asking the right questions.
  • Understanding of healthcare industry trends, regulations, and emerging technologies associated with software and digital health.
  • Relationship Building: Trustworthy, competent, client-focused, credible, proactive and responsive, values the team environment, and works with mutual respect.
  • Flexibility: Ability to handle changing priorities and multiple concurrent deadlines while maintaining high quality final products.
  • Ethical Practice: Personal and professional integrity, builds trust and rapport.
Compensation:
Competitive salary commensurate with experience. Bonus eligible.

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