The Senior Methodologist is a key member of the Product + Data Science and Methods (Product + DSM) team at Springbuk. This role works closely with the product management team, clinical expert and the engineering teams to design, test, implement and support complex analytic methods within the Springbuk product. They also closely collaborate with our client-facing teams and clients. 

This role requires a unique combination of healthcare data expertise, scientific thinking and technical prowess. We are looking for someone who thrives solving multi-dimensional analytic puzzles but also possesses a deep understanding of the business applications of healthcare analytics. Being skilled in translating complicated concepts into easy to understand terms is a highly desired characteristic in the ideal candidate. 

Here’s what you will do:

• Collaborate to create valuable analytic solutions that solve our clients’ business challenges
• Ensure the analytic integrity of Springbuk methods and features by providing a business perspective to their design, implementation and interpretation
• Assess and recommend appropriate trade-offs between analytic precision, client value, and speed to market
• Formulate, research, and evaluate approaches to solving a given analytic challenge, performing hands-on data analysis as needed
• Develop a deep understanding of the algorithms and calculations within each method and feature and be able to clearly articulate both their strengths and limitations 
• Represent Springbuk and our product in interactions with external analytic experts (actuaries, brokers, etc.) ensuring confidence in our analytic integrity 
• Provide clarification and/or analytic validation of Springbuk’s methods/features to existing customers, prospects and/or internal stakeholders
• Create internal and client-facing documentation or presentations as needed to provide understanding of approaches, rationale for design decisions and appropriate interpretation of Springbuk methods/features 
• Analyze client data to discern additional opportunities for product enhancements
• Support Sales and client-facing teams through industry and data subject matter expertise

A successful candidate will have:

• Bachelor’s in Health Administration, Health Informatics, Economics, Computer Science or equivalent experience
• Natural curiosity, tenacity, initiative, and an innate desire to solve problems and create solutions 
• Demonstrated success troubleshooting and analyzing complex data analytics challenges
• Solid understanding of employer-centered healthcare analytics, healthcare financial data, the nuances of working with claims data, episode groupers, predictive modeling concepts and other analytic methodologies
• Experience performing analytics with sql and Tableau preferred
• At least five years of experience working with healthcare claims data to support health plans, employers and/or brokers in analyzing population health
• Outstanding analytic and technical skills, with experience manipulating and analyzing large datasets and presenting clear and accurate results of analyses
• Self-motivation and the ability to work independently, along with a strong desire to collaborate, compromise, and communicate well within a small interdependent team structure 
• Strong presentation and communication skills appropriate for audiences with a variety of levels of analytic expertise and knowledge

Not required but a preferred:

• Experience with relational databases
• Master’s degree in Health Administration, Health Informatics, Economics, or related field

Here is how you will get ramped up for success:

30 Days:

• Explain, at a high level, the business challenges that Springbuk aims to solve and the clients we serve
• Provide a high level overview of the Springbuk platform and the various components it contains 
• Understand the types of data enrichments (ETGs, ERGs, etc) that we use analytically enhance client data

Steps to get there: 

• Participate in Springbuk platform demonstration
• Meet with all members of the Product team to gain an understanding of roles and responsibilities
• Meet with the VP of Product to gain an understanding of Springbuk roadmap 
• Meet with Chief Clinical Scientist to understand scope of DSM responsibilities and knowledge transfer on current methodologies
• Meet with Sales and Client Success to gain an understanding of how clients use our product
• Review analytical methodology documentation

60 Days:

• Demonstrate a strong understanding of the analytic concepts underlying content in the product (e.g., groupers, data sources, other algorithms)
• Readily access Springbuk data from the platform, exhibit foundational knowledge of how to use Tableau and/or database queries to access the same data
• Have a basic understanding of the database contents, ingestion and storage process      

Steps to get there: 

• Review all analytic methods documentation, including for algorithms that apply to various Insights and Answers, but also episodes, encounters, and gaps in care; where documentation does not exist, interview/meet with individuals with that knowledge
• Gain access to Tableau and participate in any necessary knowledge sharing (formal or informal) on the Tableau tool, and specifically how to use it to access information in Springbuk database 
• Gain access to underlying Springbuk database through appropriate query tools and participate in any necessary knowledge sharing to become comfortable using those tools
• Meet with various Engineering team reps to receive an overview of data intake and QA process as well as the Springbuk database structure (tables, fields, etc.)

90 Days:

• Support most internal and external questions regarding analytic methods applied in platform (with limited support)
• Be comfortable describing all aspects of Springbuk platform, focusing on (but not limited to) calculations and other analytic methods
• Participate as an SME in Sales calls, customer meetings, etc. lending industry knowledge and analytic credibility to Springbuk
• Utilize analytical skills and industry-awareness to guide development of new algorithms and data science models

Steps to get there: 

• Participate in at least 2 sales meetings as a silent observer
• Provide a “demo” to others on your team of the Springbuk platform

Being You at Springbuk:

Springbuk’s goal is to attract and retain diverse talent and provide an inclusive environment for all where everyone’s voice is heard and all employees feel accepted. Springbuk is an equal opportunity employer and we do not discriminate on the basis of race, color, religion, creed, national origin or ancestry, ethnicity, sex (including pregnancy), gender (including gender nonconformity and status as a transgender or transsexual individual), age, physical or mental disability, citizenship, past, current or prospective service in the uniformed services, genetic information, or any other characteristic protected under applicable federal, state, or local law.