Data Analyst II - Unither Bioengineering

About the Role

Key Responsibilities

• Conduct research into suitable machine learning approaches for deriving insights from EVLP & CRM datasets
• Analyze large EVLP clinical data sets, donor profiles, and transplant outcomes to identify trends, implement optimizations, build dashboards, and deliver reports
• Develop, test, and deploy machine learning models to predict lung benefits from EVLP and post-EVLP acceptance likelihood
• Develop and apply models to analyze inspiratory and expiratory movement data captured by EVLP systems to monitor lung mechanics, detect abnormalities, and identify concerns during deflation procedures
• Work with the OrganVue development team to support data integration from EVLP devices
• Design dashboards and visualizations to communicate insights to clinical and commercial teams
• Ensure models are explainable, clinically relevant, and meet regulatory standards
• Present findings through interactive visualizations, internal and external meetings, conferences, and publications
• Collaborate with the Power BI team to ensure accurate data capture, integration, and visualization
• Analyze national lung transplant and organ donation data (e.g., UNOS, OPTN, SRTR) to identify trends and share insights with leadership
• Explore and evaluate learning models to support decision-making in EVLP operations, logistics, and customer engagement
• Collaborate with UT CLIMB, UT Organ Manufacturing, and HEOR to share relevant learnings
• Maintain records, prepare reports, create data visualization dashboards
• Identify opportunities for improvement within OrganVue and Customer Engagement Platform
• Develop plans for future data integrations and advanced analytics
• Design, manage, and conduct quality control procedures for data sets from multiple systems
• Analyze cost-related data for operational decision making
• Contribute to peer-reviewed publications
• Perform all other duties as assigned

Requirements

• Bachelor's degree in computational biology, biostatistics/bioinformatics, computer science, applied math, or related field of study and 2+ years of experience in data analysis
• Master's degree in computational biology, biostatistics/bioinformatics, computer science, applied math, or related field of study and 0+ years of experience in data analysis
• Expertise in statistical and machine learning methods applied to high-dimensional datasets, text mining, and/or imaging data
• Fluency in one or more scientific programming languages (e.g., Python, R, Julia, MATLAB)
• Experience with common databases and tools relevant to bioinformatics and systems biology
• Experience with data visualization tools
• Ability to apply natural language processing techniques to extract relationships
• Advanced Excel skills (building pivot tables & pivot charts, writing formulas, etc.)

Nice to Have

• Proficiency with deep learning software packages
• Experience with version control systems such as Git
• Strong data visualization skills, including interactive visualization (e.g., R Shiny or d3.js)
• Experience with imaging (CT, MRI) data
• Knowledge of molecular/cellular biology and pulmonary physiology
• Experience with PowerBI, Python, and/or SAS

Qualifications

• Educational background as specified in requirements (Bachelor's or Master's in relevant fields)

Benefits & Perks

• Eligible for the company's short-term and long-term incentive programs
• Comprehensive benefits including medical, dental, vision, prescription coverage
• Employee wellness resources
• Savings plans (401k and ESPP)
• Paid time off and paid parental leave benefits
• Disability benefits
• Additional benefits detailed at https://www.unither.com/careers/benefits-and-amenities