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 (https://jobs.mayoclinic.org/benefits/) - 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.
Benefits Highlights
Medical: Multiple plan options.
Dental: Delta Dental or reimbursement account for flexible coverage.
Vision: Affordable plan with national network.
Pre-Tax Savings: HSA and FSAs for eligible expenses.
Retirement: Competitive retirement package to secure your future.
Responsibilities
The Cardiovascular Systems Unit is seeking a Software Engineer to support AI and research initiatives by operationalizing machine learning solutions, developing cloud-hosted applications, integrating clinical systems, and partnering with data scientists, researchers, and clinical stakeholders. Success in this role requires a highly flexible engineer who can navigate changing priorities, rapidly learn new technologies, and transform proof-of-concept solutions into production-ready systems.
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. Work on deployment automation/configuration management with tools including but not limited to ADO, Puppet, Chef or Ansible or Azure Pipelines, CloudFormation, Terraform following a DevOps model. 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. Continues to build knowledge of the organization, processes and customers. Performs a range of mainly straightforward assignments. Uses prescribed guidelines or policies to analyze and resolve problems. Receives a moderate level of guidance and direction.
Qualifications
Bachelor's degree in Computer Science/Engineering or related field; Or an Associates' degree in Computer Science/Engineering or related field with an additional 2 years of experience as described below.
Have working knowledge and experience of Software Engineering with a minimum of internships and a minimum of 1 yr. of experience, or 2yrs of experience coding applications or services in a high-level language (C, C++, Golang, Java, C# etc.).
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:
Experience with Microsoft Azure cloud technologies.
Experience developing with Python.
Experience with C#/.NET development.
Understanding of front-end application development
Experience with Docker and containerized deployments.
Familiarity with machine learning engineering concepts and model hosting.
Experience deploying and supporting software developed by data scientists in production environments
Knowledge of cloud platforms such as Azure and/or Google Cloud Platform.
5-10 years of software engineering experience.
Experience working within clinical or healthcare systems.
Experience integrating systems and solving interoperability challenges.
Experience working within research environments and translating research solutions into operational tools
Experience supporting AI, analytics, or machine learning initiatives.
During the selection process you may participate in an OnDemand (pre-recorded) interview that you can complete at your convenience. During the OnDemand interview, a question will appear on your screen, and you will have time to consider each question before responding. You will have the opportunity to re-record your answer to each question - Mayo Clinic will only see the final recording. The complete interview will be reviewed by a Mayo Clinic staff member, and you will be notified of next steps.
This is a hybrid position and must be located within 100 miles of a Mayo Clinic campus for occasional on-site expectations based on business needs.
This vacancy is not eligible for sponsorship/we will not sponsor or transfer visas for this position. Mayo Clinic DOES NOT participate in the F-1 STEM OPT extension program.
Exemption Status
Exempt
Compensation Detail
$97,448.00 - $143,270.40 / year
Benefits Eligible
Yes
Schedule
Full Time
Hours/Pay Period
80
Schedule Details
8:00am - 5:00pm, Monday-Friday. Evenings and weekends as needed. Participate in an on-call rotation.
This is a hybrid position and must be located within 100 miles of a Mayo Clinic campus for occasional on-site expectations based on business needs.
Weekend Schedule
Weekends as needed.
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. (https://jobs.mayoclinic.org/alllocations)
Equal Opportunity
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law" (https://www.eeoc.gov/poster) . Mayo Clinic participates in E-Verify (https://www.e-verify.gov/sites/default/files/everify/posters/EVerifyParticipationPoster.pdf) and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.
Recruiter
Jackie Mckay
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.
