Senior Leader, Process Mining and Data Science

SENIOR LEADER, PROCESS MINING AND DATA SCIENCE

About Our Company

Our company is a healthcare business process management company focused on medical knowledge extraction through advanced techniques in process mining, data mining, data science and simulation. Based in Denver, Colorado, our principals have over 40 years of healthcare experience having sold private businesses for over $130 million and having raised over $15 million from private equity firms and investors. We are currently working with Fortune 500 healthcare companies and leading-edge healthcare systems. Our products and services create tremendous value for all stakeholders across the care continuum. We take our company culture seriously, only hiring people who are humble, empathetic, adaptable, remarkable and team-focused. In doing so, we deliver remarkable products and services to our customers.

About this Role

The Senior Leader of Healthcare Process Mining and Data Science is a critical role to the success of the company. As such, we are seeking to hire someone with a cluster of skillsets to move our company forward. This leadership position will have a strong background in computer science and mathematics. He or she is proficient with database design, architecture and building using open-source applications like PostgreSQL or MySQL. He or she is proficient in process mining discovery, conformance, performance, benchmarking, etc. of large healthcare datasets using software including but not limited to process event discovery tools. He or she is proficient with advanced data science software (e.g. RapidMiner, R, python, etc.) and methods to develop acuity adjustment algorithms, personalized care processes based on disease-states, improved process models using advanced data science techniques (e.g. clustering, decision trees, regression, etc.). He or she is comfortable building what-if simulation models to help predict future outcomes using simulation software.

About You

Incredible working knowledge and experience process mining

Strongly believes their data science capabilities are best-in-class

Strong passion to improve population health on a national and global scale

Enjoy solving complex problems “on their own”

Zest for learning new skills

Never satisfied with the status quo and constantly improving upon existing work

Thrives in a fast-paced, entrepreneurial environment

Enjoys wearing multiple hats to do whatever it takes to deliver remarkable results to customers

Considers themselves a team player and a leader of teams

Seeks an employer interested in a robust company culture

Roles and Responsibilities

• Architect and build the database in a hosted cloud-based secure server environment to warehouse “big data” sets including clinical, operational and outcomes datasets from large healthcare systems
• Strong understanding of privacy and security compliance to ensure the utmost care for sensitive patient information
• Experience and demonstrated expertise of process mining techniques to discover processes, compare to benchmark care models, analyze conformance and performance opportunities, etc.
• Experience and demonstrated expertise of data science to analyze, benchmark, acuity-adjust and deliver quantifiable cost savings and quality improvements to healthcare systems as well as personalized care models based on disease states, demographics, etc.
• Data capabilities include, but are not limited to R, python and/or Rapid Miner
• Understanding of Alteryx for rapid analysis of data is a plus
• Understanding of healthcare coding systems to both map data structures and build sophisticated process models is a plus
• Working knowledge of Tableau is a plus

Requirements

• Advanced mathematics and / or data science degree
• 5+ years of data science experience analyzing and building large and complex algorithms and models
• 3+ years of SQL experience (e.g. PostgreSQL, MySQL, etc.)
• 2+ years of process mining experience (in the healthcare domain is highly preferred)
• 1+ years of process simulation modeling (in the healthcare domain is highly preferred)

While living in Denver, CO is not a requirement, we would like to understand how you would be a good fit working remotely. As this position is critical to our success, we are open to hiring remotely as we want to hire the most qualified person for the job.

We are an equal opportunity employer.

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