Healthcare AI Algorithm Validation Engineer – San Francisco, CA

Are you passionate about advancing healthcare through artificial intelligence? We are seeking a Healthcare AI Algorithm Validation Engineer to join a cutting-edge team in San Francisco, CA. This is a unique opportunity to validate and optimize AI models that are revolutionizing patient care, diagnostics, and clinical decision-making. If you’re driven by data integrity, real-world impact, and innovative healthcare solutions, this role is the perfect fit for you.

Play a Key Role in AI-Driven Healthcare Innovation

A leading health-tech organization in San Francisco, CA is looking for a Healthcare AI Algorithm Validation Engineer to ensure the accuracy, safety, and reliability of AI algorithms used in clinical environments. The ideal candidate will have a strong background in machine learning, clinical data analysis, and regulatory standards such as FDA or HIPAA compliance. If you’re excited about blending AI with healthcare to improve patient outcomes, this is your chance to contribute to the future of medicine.

Key Responsibilities of the Healthcare AI Algorithm Validation Engineer – San Francisco, CA

Algorithm Validation & Testing:
Design, execute, and document rigorous validation protocols for AI models used in healthcare settings. Ensure algorithms meet clinical standards for accuracy, sensitivity, specificity, and safety prior to deployment.

Data Quality & Integrity:
Collaborate with data engineering and clinical teams to assess and curate high-quality datasets for training and validation. Ensure that data preprocessing, labeling, and normalization processes adhere to best practices and regulatory requirements.

Regulatory Compliance & Documentation:
Develop comprehensive validation reports, risk assessments, and supporting documentation aligned with FDA, HIPAA, and other healthcare regulatory frameworks. Support submission efforts for regulatory approvals and audits.

Cross-Functional Collaboration:
Work closely with machine learning engineers, clinicians, product managers, and compliance teams to align validation goals with real-world clinical use cases. Provide input into model development based on validation outcomes.

Performance Monitoring & Continuous Improvement:
Establish robust performance benchmarks and monitoring systems to assess model efficacy over time. Recommend improvements and re-validation strategies to adapt to changing clinical data and environments.

Clinical Relevance Assessment:
Translate algorithm performance metrics into clinically meaningful insights. Collaborate with medical experts to validate that AI outcomes align with standard-of-care practices and contribute to better patient outcomes.

Tool & Framework Development:
Create and maintain tools, scripts, and automated pipelines for efficient and repeatable model validation. Stay current with industry best practices and validation methodologies for healthcare AI.

Risk Management & Bias Detection:
Identify and mitigate risks associated with algorithmic bias, model drift, and unintended clinical consequences. Proactively address fairness, equity, and safety concerns in AI deployment.

Knowledge Sharing & Reporting:
Present validation findings to internal stakeholders, regulatory bodies, and clinical partners. Promote a culture of transparency, data integrity, and continuous learning within the AI/ML team.

Innovation & Research:
Contribute to research initiatives and thought leadership on AI validation in healthcare. Publish findings, attend conferences, and help shape industry standards and ethical guidelines.

What the Client is Looking for in You

As a Healthcare AI Algorithm Validation Engineer, the client is seeking a detail-oriented and scientifically rigorous professional who can ensure the safety, accuracy, and effectiveness of AI models used in clinical environments. You should be passionate about the intersection of healthcare and artificial intelligence and possess the technical expertise required to validate high-stakes algorithms that impact patient outcomes.

Expertise in Healthcare AI & Validation Methodologies

The ideal candidate will have experience working with machine learning models in a healthcare or regulated environment. You should have a strong background in algorithm validation, statistical analysis, and understanding of clinical data. Familiarity with regulatory frameworks such as FDA, HIPAA, and GxP guidelines is highly preferred.

Strong Analytical and Technical Skills

The client is looking for someone who can design and implement robust validation protocols and interpret performance metrics with precision. Proficiency in Python, R, or similar programming languages, as well as experience with data visualization and analysis tools, is essential.

Clinical Data Understanding

You must be comfortable working with diverse healthcare datasets such as EHRs, medical imaging, and lab results. A working knowledge of clinical workflows and terminology will enable effective communication with clinicians and ensure that validation approaches align with real-world use cases.

Regulatory and Documentation Expertise

As this role supports product development and potential regulatory submissions, the client is looking for someone who can generate clear, audit-ready documentation and validation reports. Experience contributing to FDA submissions, CE marking, or similar regulatory processes is a plus.

Collaborative and Communicative Mindset

Success in this role requires seamless collaboration with cross-functional teams including AI researchers, data engineers, clinicians, and regulatory affairs professionals. You should be able to clearly communicate technical findings to both technical and non-technical stakeholders.

Commitment to Patient Safety and Ethical AI

The client highly values a candidate who is committed to developing AI tools that are equitable, unbiased, and safe for all patient populations. You should proactively identify potential risks and contribute to ethical AI practices in line with healthcare standards.

Curiosity and a Drive for Innovation

The healthcare AI field evolves rapidly. The ideal candidate is someone who stays current with the latest research, validation techniques, and compliance updates, and is eager to contribute to the development of cutting-edge, life-changing technologies.

FAQs About the Role – Healthcare AI Algorithm Validation Engineer – San Francisco, CA

1. What are the key responsibilities of the Healthcare AI Algorithm Validation Engineer?
In this role, you will be responsible for designing and executing validation protocols to ensure the safety, accuracy, and clinical relevance of AI algorithms used in healthcare. This includes testing model performance, analyzing datasets, ensuring compliance with regulatory standards (such as FDA or HIPAA), and collaborating with cross-functional teams including clinicians, data scientists, and regulatory affairs. Your work will support product certification, deployment, and continuous monitoring.

2. What qualifications and experience are required for this position?
The ideal candidate should have a background in biomedical engineering, computer science, data science, or a related field. Experience with healthcare data (such as EHRs, imaging, or clinical trials), validation and verification methodologies, and regulatory compliance (FDA, ISO, GxP, etc.) is essential. Proficiency in tools like Python, R, and statistical software is required. A Master’s or Ph.D. is preferred, particularly if related to medical AI or biostatistics.

3. What technical skills are essential for success in this role?
Strong programming skills (Python, R), experience with AI/ML performance metrics, data visualization tools, and a deep understanding of model evaluation and validation in clinical settings are crucial. Familiarity with tools such as Jupyter, Tableau, or clinical data management systems is an added advantage.

4. What challenges can I expect in this role?
Key challenges include managing complex, often incomplete healthcare datasets; ensuring models meet stringent regulatory and ethical standards; and effectively communicating findings to both technical and clinical stakeholders. You may also face the challenge of validating novel algorithms in real-world clinical contexts where data variability and patient safety are critical concerns.

5. What impact will I have in this role?
You will play a critical role in ensuring that AI tools used in healthcare are safe, effective, and equitable. Your work will directly contribute to the accuracy and reliability of technologies that support clinical decisions, improve patient outcomes, and comply with healthcare regulations.

6. What is the company’s culture and work environment like?
The organization promotes a mission-driven, collaborative environment that values scientific rigor, innovation, and cross-disciplinary teamwork. Employees are encouraged to challenge assumptions, learn continuously, and prioritize patient safety and data ethics. The culture supports transparency, diversity, and a shared commitment to transforming healthcare through responsible AI.

What Remuneration Can You Expect from This Job?

As a Healthcare AI Algorithm Validation Engineer based in San Francisco, CA, you can expect a competitive and comprehensive compensation package aligned with the high-demand skillset and responsibilities associated with this role. The package typically includes the following components:

1. Base Salary
The base salary for this role generally ranges between $130,000 and $180,000 per year, depending on experience, education, and the company’s size and funding stage. Candidates with advanced degrees or specialized expertise in regulatory AI validation and healthcare data science may command salaries at the higher end of this range.

2. Performance Bonuses
In addition to the base salary, many employers offer annual performance-based bonuses, which reward individual contributions, innovation, and successful delivery of validation outcomes. Bonuses typically range from 10% to 20% of the base salary.

3. Equity and Stock Options
For startups or growth-stage health tech firms, equity compensation in the form of stock options or RSUs (Restricted Stock Units) is often part of the total package. These equity grants give engineers ownership in the company and align long-term incentives with the company’s success.

4. Benefits and Perks
You can expect a strong suite of benefits that typically includes:

Comprehensive health, dental, and vision insurance
401(k) with company matching or contribution
Paid time off (PTO), sick leave, and holidays
Parental leave and family support services
Continuing education stipends or tuition reimbursement
Wellness perks (gym memberships, mental health resources, etc.)

5. Relocation Support & Signing Bonuses
Depending on your current location and the employer’s urgency in hiring, companies may offer relocation assistance or a signing bonus, typically ranging from $5,000 to $25,000, especially for hard-to-fill roles or specialized candidates.

6. Career Development Opportunities
Although not a direct financial benefit, many top-tier employers in the AI healthcare space invest heavily in employee growth. You may gain access to:

Professional certifications
Conference sponsorships
Cross-functional project opportunities with clinical, regulatory, and AI teams

Total Compensation Outlook

Taking into account salary, bonus, equity, and benefits, total annual compensation for this role can range from $150,000 to $250,000+, with potential upside in early-stage or high-growth companies offering significant equity participation.

How to Apply

If you are a detail-oriented and mission-driven professional with experience in healthcare AI, regulatory compliance, and algorithm validation, we invite you to apply for the Healthcare AI Algorithm Validation Engineer position in San Francisco, CA. This is a unique opportunity to contribute to the advancement of safe, effective, and innovative AI solutions in the healthcare space.

To apply, please submit your updated resume along with a cover letter outlining your experience in:

AI/ML model validation and testing
Compliance with healthcare regulations (e.g., FDA, HIPAA)
Working with clinical datasets and EHR systems
Cross-functional collaboration with data scientists, engineers, and regulatory teams
Designing robust validation protocols and performance metrics

Highlight any prior involvement in FDA submissions, post-market surveillance, or real-world data validation for medical software or devices.

This role offers the chance to shape the future of healthcare by ensuring AI technologies meet the highest standards of safety and accuracy. Apply today to join a pioneering team at the intersection of artificial intelligence and patient care.

For more information or to explore related opportunities, visit our Healthcare AI Careers page.

Job Category: Medical Device

Job Type: Full Time

Job Location: San Francisco

Healthcare AI Algorithm Validation Engineer – San Francisco, CA