Enable secure development: Partner with engineering and data science teams to provide security consultation, create self-service security patterns, and educate developers on security best practices. Healthcare industry context: Experience in healthcare, life sciences, or regulated industries, with understanding of compliance requirements and data protection needs in medical technology. We also believe that AI is a tool, not an identity – without access to high quality data and a scientifically rigorous, transparent approach to model development, AI is just a buzzword. We work with partners as well as leading global life sciences companies. You'll be responsible for conceptualizing, leading, and owning security initiatives that protect sensitive healthcare data, ensure compliance with industry standards, and enable our to build secure-by-default solutions.
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