
Legal Counsel, Artificial Intelligence, Data Innovation
Stryker
full-time
Posted on:
Location Type: Remote
Location: Florida • Missouri • United States
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Salary
💰 $179,100 - $388,100 per year
About the role
- Advise on the legal, ethical, and IP implications of AI/ML model development and deployment.
- Provide legal guidance on algorithmic transparency, explainability, model lifecycle management, and fairness audits.
- Support legal reviews for vendor engagement, data training sets, and co-development of AI-powered tools.
- Counsel on cross-border data flows, data labeling, retention, and re-use for AI applications.
- Partner with Privacy and Digital Health to align AI projects with global data protection and regulatory requirements.
- Monitor emerging AI legislation (e.g., EU AI Act, U.S. Executive Orders, industry guidelines) and translate developments into policy recommendations.
- Provide legal counsel on the deployment of AI/ML technologies, including: Vendor engagement and IP ownership Fairness, transparency, and explainability standards Risk mitigation strategies for regulated medical and enterprise use.
- Advise on enterprise productivity platforms with a focus on licensing, interoperability, data handling, and user compliance.
- Partner with other members of the legal team (commercial, regulatory, IP, data governance & privacy) to coordinate and align on all issues concerning AI, such as: AI model training using sensitive data Cross-border data flows and platform integrations Retention, access controls, and auditability in collaboration tools.
Requirements
- Juris Doctor (JD) with license to practice in at least one jurisdiction.
- Minimum 10 years applicable professional experience in law firm or corporate legal department setting with demonstrated experience and a strong interest or focus in AI/ML, data science, or emerging technologies.
- Prior professional experience considered; medical device, pharmaceutical, life sciences experience strongly preferred.
- Knowledge of intellectual property, data protection, and regulatory frameworks relevant to AI innovation.
- Exposure to algorithmic governance, model validation, or ethics in tech is a plus.
- Excellent research, risk-spotting, and cross-functional communication skills.
Benefits
- bonus eligible
- generally eligible for short-term and long-term financial incentives
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
legal guidancealgorithmic transparencymodel lifecycle managementfairness auditsdata protectionregulatory complianceintellectual propertyrisk mitigation strategiesdata handlingalgorithmic governance
Soft Skills
excellent research skillsrisk-spottingcross-functional communication
Certifications
Juris Doctor (JD)license to practice