Breakthrough

The IT Radiology AI, Data & Development unit is looking for a skilled and driven person to join the team in advancing the Radiology Artificial Intelligence initiatives. The Department of Radiology is growing the Framework for AI Software Technologies (FAST) program to establish the leading clinical AI program. The FAST program covers AI development from discovery to clinical implementation of AI algorithms to enhance patient care. The FAST program expansion includes Generative AI and LLM-based solutions to further offer innovative solutions to transform healthcare.

The successful candidate will work as part of a team to develop and deploy data pipelines, integrations, and transformations that support analytics and machine learning applications. This work will involve using various open-source programming languages and commercial software products to meet design and functionality requirements. The role requires maintaining knowledge of the organization’s current solutions, coding languages, and tools, and frequently applying independent judgment. Demonstrated experience in designing, building, and validating data systems is expected. The candidate will collaborate with AI scientists, data scientists, and IT colleagues to identify and retrieve data, perform exploratory analysis, pipeline and transform data, visualize trends, build and validate analytical models, and translate findings into actionable insights.

Develops and deploys data pipelines, integrations and transformations to support analytics and machine learning applications and solutions as part of an assigned product team using various open-source programming languages and vended software to meet the desired design functionality for products and programs. The position requires maintaining an understanding of the organization's current solutions, coding languages, tools, and regularly requires the application of independent judgment. May provide consultative services to departments/divisions and leadership committees. Demonstrated experience in designing, building, and installing data systems and how they are applied to the Department of Data & Analytics technology framework is required. Candidate will partner with product owners and Analytics and Machine Learning delivery teams to identify and retrieve data, conduct exploratory analysis, pipeline and transform data to help identify and visualize trends, build and validate analytical models, and translate qualitative and quantitative assessments into actionable insights.

May be required to provide 24/7 call support.  

A Codility exam will be required as part of the interview screening process for this position. 

Mayo Clinic will not sponsor or transfer visas for this position including F1 OPT STEM.  This is a full time, remote position within the United States.  

A Bachelor's degree in a relevant field such as engineering, mathematics, computer science, information technology, health science, or other analytical/quantitative field and a minimum of five years of professional or research experience in data visualization, data engineering, analytical modeling techniques; OR an Associate’s degree in a relevant field such as engineering, mathematics, computer science, information technology, health science, or other analytical/quantitative field and a minimum of seven years of professional or research experience in data visualization, data engineering, analytical modeling techniques. In-depth business or practice knowledge will also be considered.
Incumbent must have the ability to manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes. Interpersonal skills, time management skills, and demonstrated experience working on cross functional teams are required. Requires strong analytical skills and the ability to identify and recommend solutions and a commitment to customer service. The position requires excellent verbal and written communication skills, attention to detail, and a high capacity for learning and problem resolution.
Advanced experience in SQL is required. Strong Experience in scripting languages such as Python, JavaScript, PHP, C++ or Java & API integration is required. Experience in hybrid data processing methods (batch and streaming) such as Apache Spark, Hive, Pig, Kafka is required. Experience with big data, statistics, and machine learning is required. The ability to navigate linux and windows operating systems is required. Knowledge of workflow scheduling (Apache Airflow Google Composer), Infrastructure as code (Kubernetes, Docker) CI/CD (Jenkins, Github Actions) is preferred. Experience in DataOps/DevOps and agile methodologies is preferred. Experience with hybrid data virtualization such as Denodo is preferred. Working knowledge of Tableau, Power BI, SAS, ThoughtSpot, DASH, d3, React, Snowflake, SSIS, and Google Big Query is preferred. 
Google Cloud Platform (GCP) certification is preferred.