SBC SR DATA & AI SOLUTIONS ENG

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Day - 08 Hour (United States of America)
This is a Stanford Blood Center job.
A Brief Overview
The SBC Sr Data & AI Solutions Engineer designs Artificial Intelligence (AI), predictive algorithms and other emerging machine learning (ML) innovations and integrates into SBC operations to improve outcomes, drive resource optimization and help meet blood transfusion and transplantation requirements. This role also leads end-to-end Extract Transformations and Load (ETL) pipelines to unify data across databases, data marts, and the EDW; enhances BI capabilities to drive data-driven decisions, optimize blood production and testing workflows, and monitor performance with proactive support.
Locations
Stanford Blood Center
What you will do
Applies solid software development and object-oriented programming (OOP) skills to build applications and front-end web solutions.
Builds, deploys, and maintains AI and ML solutions across clinical, laboratory, and operational domains to improve outcomes while upholding safety, ethical governance and cost-effectiveness
Utilizes Python data science capabilities and leverages libraries (virtual environments, REST APIs) to accelerate analytics delivery, solve complex problems efficiently, and build scalable data pipelines and applications, ensuring reliable technical support and timely troubleshooting.
Leverages deep expertise in large language models (LLMs) and smaller language models (SLMs) to fine-tune, engineer prompts, and deploy AI solutions that enhance business analytics, product development, data-driven decision making to help boost productivity.
Develops/enhances BI and ETL processes that reflect best practices for error handling, operations logging and alerting, scheduling, and job control. Prepares specifications, designs, data models and diagrams from which databases can be developed and manages a common data model to harmonize relational databases, tune queries to optimize the EDW and BI architecture while monitoring performance with proactive support.
Applies advanced data analysis, forecasting, predictions and simulation methods to project demand for services and blood products, driving supply chain optimization and optimal resource allocation.
Identifies improvements to operational processes including productivity analysis, process engineering and optimization and leads projects to implement such improvements applying solid project management skills, team/user communications, etc.
Assumes broader responsibilities to meet evolving business needs and uphold department efficiency, while mentoring BI analysts to grow their capabilities
Complies with governmental regulations and Stanford Health Care and Blood Center policies regarding health and safety. Observes and supports good health and safety practices.
Strictly observes privacy and security related policies, procedures and practices to preserve the integrity and confidentiality of medical and other sensitive information pertaining to donors, patients, research subjects, and team members. Acts as a responsible information steward and treat information as sensitive and confidential in accordance with federal and state laws and with professional ethics, accreditation standards and legal requirements. Do not disclose protected health information inappropriately.
May be required to enter areas where other individuals work with human blood; potential may exist for unanticipated exposure to bloodborne pathogens by splash or spill.
Education Qualifications
Bachelor's Degree in engineering, computer science, data science or related field plus 4 years of experience with applied problems required
Master's Degree in engineering, computer science, data science or related field preferred
Experience Qualifications
3+ years to 5 years hands-on experience designing and developing software (across the full lifecycle), AI, and BI solutions; accountable for a complex EDW environment, driving performance with robust ETL processes required
Required Knowledge, Skills and Abilities
Experience developing, evaluating, and implementing Machine Learning and Artificial Intelligence models while partnering with individuals across clinical and operational areas to deploy algorithms and solutions that can lead to better outcomes and optimization of resources while validating both researcher-built and vendor-provided algorithms or AI solutions
Advanced OOP-based architecture and optimization for software and systems; proficient in Python (Django) and Java; HTML and CSS skills; experience with AI/ML deployment, including large language models (LLMs); proven performance tuning ability.
End-to-end BI lifecycle ownership, including design, development, and deployment of BI solutions; BI tool administration; ETL design and development; EDW architecture; and delivery of robust reporting and analytics
Extensive experience leveraging advanced analytics, forecasting, predictive modeling, and simulation to optimize operations; proven ability to communicate results to diverse stakeholders and management to drive engagement.
Proficiency with BI and data visualization tools (i.e., Power BI, Tableau, SSRS, SAP BusinessObjects); SQL expertise in Oracle and MS SQL Server (Management Studio); SSIS; Azure DevOps Server; applying patches/upgrades; and monitoring hardware utilization for peak performance.
Applies Lean principles to BI workflows, problem-solving, and Gemba-style observation rounds to identify waste and improve process flow, simulation for analyzing production systems and optimal production scenarios.
Seeks and embraces coaching and mentoring and effectively formulates. Exercises sound judgement in prioritizing work independently, balancing speed and accuracy while maintaining quality and reliable outputs with limited problems or defects.
Physical Demands and Work Conditions
Physical Demands
Constant Sitting.
Occasional Walking.
Occasional Standing.
Seldom Bending.
Never Squatting.
Never Climbing.
Seldom Kneeling.
Never Crawling.
Constant Hand Use.
Frequent Repetitive Motion Hand Use.
Frequent Grasping.
Occasional Fine Manipulation.
Occasional Pushing and Pulling.
Seldom Reaching (above shoulder level).
Occasional Twisting and Turning (Neck and Waist).
Frequent Vision (Color, Peripheral, Distance, Focus).
Constant Other (please list each item under Comments). Computer use
Lifting
Seldom lifting of 0 - 10 lbs.
Seldom lifting of 11 - 20 lbs.
lifting of 21 - 30 lbs. 0 to 0 in height
lifting of 31 - 40 lbs. 0 to 0 in height
lifting of 40+ lbs. 0 to 0 in height
Carrying
Seldom lifting of 0 - 10 lbs.
Seldom lifting of 11 - 20 lbs.
lifting of 21 - 30 lbs. 0 to 0 in height
lifting of 31 - 40 lbs. 0 to 0 in height
lifting of 40+ lbs. 0 to 0 in height
Blood Borne Pathogens
Category III - Tasks that involve NO exposure to blood, body fluids or tissues, and Category I tasks that are not a condition of employment
These principles apply to ALL employees:
SHC Commitment to Providing an Exceptional Patient & Family Experience
Stanford Health Care sets a high standard for delivering value and an exceptional experience for our patients and families. Candidates for employment and existing employees must adopt and execute C-I-CARE standards for all of patients, families and towards each other. C-I-CARE is the foundation of Stanford’s patient-experience and represents a framework for patient-centered interactions. Simply put, we do what it takes to enable and empower patients and families to focus on health, healing and recovery.
You will do this by executing against our three experience pillars, from the patient and family’s perspective:
Know Me: Anticipate my needs and status to deliver effective care
Show Me the Way: Guide and prompt my actions to arrive at better outcomes and better health
Coordinate for Me: Own the complexity of my care through coordination
Equal Opportunity Employer Stanford Health Care (SHC) strongly values diversity and is committed to equal opportunity and non-discrimination in all of its policies and practices, including the area of employment. Accordingly, SHC does not discriminate against any person on the basis of race, color, sex, sexual orientation or gender identity and/or expression, reli