DescriptionAt Mayo Clinic our mission is to inspire hope and promote health through integrated clinical practice education and research. The Mayo Clinic Generative AI team building technology at that very intersection combining our research initiatives with the latest advances in transformerbased technologies to transform medicine.
This is a fulltime remote position within the United States. Mayo Clinic will not sponsor or transfer visas for this position (H1B F1 OPT STEM).
Position Responsibilities:
- Leverage machine learning techniques such as deep learning natural language processing computer vision large language models to lead the design development testing and deployment of machine learning and deep learning models for healthcare applications.
- Work on the full spectrum of the AI life cycle from ideation to production.
- Leverage advanced techniques in AI/ML to analyze vast amounts of healthcare data including patient records medical imaging and genomic information to develop AI solutions that meet clinical needs and integrated smoothly into clinical processes.
- Collaborate with multidisciplinary teams to support the engineering and implementation of AI/ML solutions.
- Develop robust machine learning pipelines to support production processes and setting new benchmarks for safety and effectiveness in clinical settings.
- Facilitate consistent and automated AI software solution development and releases through the design testing and maintenance of tools and associated CI/CD pipelines.
- Contribute to implementing the best practices and standards for AI development and deployment methodologies tools and platforms.
- Provide mentorship guidance and technical leadership to junior engineers within the AI enablement team.
- Provide consultative services on areas of expertise to clinical work units or AI product teams offering insights and strategies to address complex business problems.
- Provide training and education to healthcare staff on AI tools and technologies.
- Contribute to developing new AI methods and technologies that can advance the stateoftheart in healthcare AI.
QualificationsRequired qualifications for this position include: Bachelors Degree in Computer Science/Engineering or related field with 5 years of experience as noted below; OR an Associates degree in Computer/Science/Engineering or related field with 7 years of experience.
Have indepth knowledge of software engineering with experience coding applications or services in a highlevel 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 handson technical expertise excellent verbal and written communication skills. Experience with Agile software development techniques.
Preferred Qualifications for this position include:
- Ph.D or Masters degree in Computer Science/Engineering or related field.
- Experience applying AI and machine learning in production healthcare environments highlighting an understanding of healthcare technology.
- 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 nontechnical stakeholders.
- Demonstrated expertise in cloud infrastructure environment and software development tools.
- Experience working with large complex and heterogeneous data sets preferably in healthcare.
- Skilled in AI/ML techniques and frameworks.
- Familiarity with best practices in data engineering data science AI Engineering and the MLOps communities.
- Demonstrated initiative in administration education software development and technical reporting.
- Mentor lessexperienced team members coupled with strong interpersonal communication and time management skills.
- Strong expertise in AI/ML techniques and frameworks such as deep learning natural language processing and Generative AI with proficiency in tools like Python TensorFlow PyTorch scikitlearn and Keras.
- 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.
Required Experience:
Senior IC