Why Mayo Clinic Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans ( – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic. You’ll thrive in an environment that supports innovation, is committed to ending racism and supporting diversity, equity and inclusion, and provides the resources you need to succeed. Responsibilities This is a full-time remote position within the United States. Incumbent must live within the United States, preferably within travel distance to Mayo Clinic’s Arizona campus. The Mayo Clinic Cloud AI team is seeking a highly motivated, experienced Senior Software Engineer to join the team. In this role you will build, deploy, and operate AI and Machine Learning solutions derived from Mayo Clinic’s AI Innovation Hub. Individuals with experience in AI/ML with demonstrated skill implementing scalable software on Google Cloud Platform are strongly desired. The Senior Software Engineer will design and build back-end services that support our portfolio of data-centric clinical and analytic applications. These applications leverage cloud computing, big data, mobile, data science, data warehousing, machine learning using state of the art software development applications and frameworks. Our Software Engineers ensures that these cloud-based micro-services adhere to uptime and accuracy targets, are resilient, and scale as data volumes and traffic increase. They work closely with the data engineering, platform, and solutions teams to develop applications as required to benefit our practice and patients. Works closely with the Product Owners, Product Managers, Architects to translate requirements into code. Developing services around data warehousing, big data, cloud computing, business intelligence, analytics and machine learning. Participate in DevOps, Agile, continuous development and integration frameworks. Programming in high-level languages such as Go, Python, Java etc. Ensure all appropriate documentation of processes and source code is created and maintained. Communicate effectively with peers, leaders, and customers throughout the organization. Participate in expert level troubleshooting and resolve problems through root cause analysis, data and system investigation. Contributes to design and architecture discussions with Principals and Architects. Leads targeted cross-functional improvement efforts and mentors more junior software engineers. Solves complex problems; takes a new perspective on existing solutions. Work independently with minimal guidance. You may lead projects or project steps within a broader project or have accountability for ongoing activities or objectives. Act as a resource for colleagues with less experience. 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 (Generative AI) that can advance the state-of-the-art in healthcare AI. Qualifications 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: Master’s degree in Computer Science/Engineering or related field. Ability to use a wide variety of open-source technologies and cloud-based services. Experience writing software for the cloud (GCP, AWS, Azure). Experience in databases, analytics, big data systems or business intelligence products. Experience building high-performance, highly available and scalable distributed systems. Experience developing software for healthcare related industries. 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 non-technical 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 less-experienced 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, sci-kit-learn 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. Authorization to work and remain in the United States, without necessity for Mayo Clinic sponsorship now, or in the future (for example, be a U.S. Citizen, national, or permanent resident, refugee, or asylee). Also, Mayo Clinic does not participate in the F-1 STEM OPT extension program. This position will accept applications until 06/24/2024. This deadline may be extended if the necessary candidate pool is not met by this date. Exemption Status Exempt Compensation Detail $134,888.00 – $195,624.00 / year Benefits Eligible Yes Schedule Full Time Hours/Pay Period 80 Schedule Details Monday – Friday; 8:00 am – 5:00 pm Weekend Schedule Rotating on-call schedule International Assignment No Site Description Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. ( Affirmative Action and Equal Opportunity Employer As an Affirmative Action and Equal Opportunity Employer Mayo Clinic is committed to creating an inclusive environment that values the diversity of its employees and does not discriminate against any employee or candidate. Women, minorities, veterans, people from the LGBTQ communities and people with disabilities are strongly encouraged to apply to join our teams. Reasonable accommodations to access job openings or to apply for a job are available. Recruiter Miranda Grabner Equal opportunity As an Affirmative Action and Equal Opportunity Employer Mayo Clinic is committed to creating an inclusive environment that values the diversity of its employees and does not discriminate against any employee or candidate. Women, minorities, veterans, people from the LGBTQ communities and people with disabilities are strongly encouraged to apply to join our teams. Reasonable accommodations to access job openings or to apply for a job are available.
Go GenAI Agile CI/CD Artificial intelligence (AI) Python Data Engineering DevOps Google Cloud Platform (GCP) MLOps Java Machine Learning TensorFlow keras PyTorch Software Engineer