It is an exciting time at Mayo Clinic, as we are building the most trusted generative AI and LLM-based solutions to empower our staff, improve our practice and transform healthcare. To accelerate our generative AI strategy, we are forming a cross functional team of technical experts. This team will be responsible for:
This is a full-time, remote position. Incumbent must live within the United States. Mayo Clinic will not sponsor or transfer visas for this position including F1 OPT STEM.
Position Responsibilities:
A Codility Test may be required as part of the candidate selection process.
Required qualifications for this position include: Bachelor's Degree in Computer Science/Engineering or related field with 5 years of experience as noted below; OR an Associate’s degree in Computer/Science/Engineering or related field with 7 years of experience.
Have in-depth knowledge of software engineering with experience coding applications or services in a high-level language (C, C++, Golang, Java, C# etc.) and a basic knowledge of related fields.
Demonstrated problem solving and time management skills. Possesses strong technical aptitude for designing and implementing software solutions. Experience with modern application development frameworks
Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations. Deep hands-on technical expertise, excellent verbal and written communication skills. Experience with Agile software development techniques.
Preferred qualifications for this position include:
• Masters or PhD in Machine Learning, Artificial Intelligence, Computer Science, Biomedical Engineering, or related scientific fields.
• Experience applying AI and machine learning in production healthcare environments, highlighting an understanding of healthcare technology and its unique challenges. Experiences in AI implementation within Cancer research and practice domain preferred.
• Experience implementing MLOps capabilities at enterprise level, with a focus on reproducibility and ethical AI practices.
• Skilled in advanced AI/ML techniques and frameworks, with a portfolio of complex model development projects.
• Project experience working with cloud AI/ML services (e.g., GCP Vertex AI, AWS SageMaker, Azure ML) for large-scale model deployments.
• Demonstrated leadership in managing complex projects, to navigate intricate project requirements and deliver successful outcomes.
• Proficiency in fostering collaboration across diverse teams and effectively communicating complex technical concepts to non-technical stakeholders, including clinical and research audiences.
• Demonstrated expertise in cloud infrastructure environment and software development tools.
• Familiarity with best practices in data engineering, data science, AI Engineering, and the MLOps communities.
• Mentor less-experienced team members, coupled with strong interpersonal, communication, and time management skills.
• Deep knowledge of the healthcare domain, including clinical workflows, electronic health records, medical terminologies, regulatory requirements, and industry standards.
• Familiarity with systems or quality engineering best practices, regulatory standards, and compliance frameworks, with the ability to adapt these effectively to different project scenarios.
• Demonstrated experience leading technical/quantitative teams in a regulated environment.
• Demonstrated experience creating risk management files and verification/validation strategies for digital health technology products within the healthcare industry.