Healthcare Data Scientist

At Diverge Health we are a team of entrepreneurs passionate about improving health access and outcomes for those most in need. We partner with primary care providers to improve the engagement and management of their Medicaid patients, providing independent practices access to specialized resources and clinical programs to address medical, social and behavioral patient needs. Our care ecosystem is equipped with enhanced technology and data interfaces to enable provider and patient success in a value-based environment. Guided by our core values of humility, continuous learning and feeling the weight, our team is on a mission to strengthen communities from within, unlocking people's ability to live their healthiest lives. 

We are looking for a Healthcare Data Scientist to join our team! This is a highly critical role on our growing team, who will help pioneer and grow healthcare analytic capabilities as we work to improve care for the disadvantaged.  This role reports directly to the Senior Vice President, Technology.   

Who We Are:  

Diverge Health supports primary care practices to extend their reach and better serve patients on Medicaid. We bring providers significant infrastructure - contracts, local community health teams, provider liaisons, enabling technology and data – to improve outcomes for low-income patients, and enable success in value-based contracts.   

Our technology organization is a small, growing team of problem solvers committed to improving healthcare outcomes for key disadvantaged populations.  Our fully remote, entrepreneurial workforce strives to be… 

• Innovative – We love creative problem solvers capable of outside the box solutioning, and who work hard to find simple solutions to hard problems. 

• Independent – We take ownership of problems and have pride in our solutions, while working independently and supporting each other’s efforts.    

• Adaptive – As a small team, we all lean in across the breadth of our technologies and love to learn new technologies and dive into new areas - and to figure things out as we go.  

What We Do:  

We create and execute our technology enablement efforts – from software development to data/analytics, to infrastructure, and enterprise technologies. We work collaboratively across internal stakeholders to understand business problems and needs, and design & implement solutions that support our mission of providing effective and transformative patient-centered care.  

Our data science team leverages integrations with all types of healthcare data - claims data, electronic health/medical records, healthcare information exchanges, continuity of care information, admit/discharge records, etc. – to help identify patients that would benefit most from focused care efforts, and uses data to help shape the plans that offer care to this population.  We leverage census and other population data to locate where such populations exist and are centered so that services can be effectively offered to large populations.  We work to continually shape and improve healthcare so that it becomes both more effective and more cost-effective by analyzing clinical results and feeding that into future strategies.   

We leverage a collection of cloud-based tools to store, analyze, and report within our data efforts.  Our team members leverage: 

• Snowflake to store vast SQL databases – defining data models through DBT and integrations through Hightouch or Dagster. 

• The reporting capabilities of Sigma, Salesforce, or more to visualize results. 

• Advanced databases of AWS such as Dynamo for NoSQL or Neptune for relational queries. 

• The cloud for complex AI calculations with Jupyter notebooks in Sagemaker or other machine learning platforms. 

How You Can Help Us:  

Here are some key areas where we’re looking to make our team stronger:  

• Knowledge of healthcare ecosystems, information & analytics – having knowledge of the data sources, types, nomenclature, used in healthcare is critical - in particular having a strong history understanding and analyzing claims data.  This kind of knowledge often comes with 4-10 years of experience in healthcare but can also be demonstrated with other strong HCLS accomplishments.  We’re expecting this role to help address such problems such as market analyses, risk stratification, operational efficiency, clinical efficacy and healthcare quality metrics.   We’d love to hear what you’ve done in similar areas, and where you’re looking to grow.   

• Extracting and communicating information from data – a proven ability to communicate results by designing and creating dashboards and reports in systems such as Salesforce and BI tools like Sigma is important – you’ll have to help people understand what our data is telling them in simple and effective ways.   

• Advanced SQL, analytics, and statistical background – someone who can understand the math and help navigate alternative statistical strategies.  Having projects where you’ve investigated alternative data sources and approaches, and discussing how you helped guide teams to a successful decision and results, is a great way to demonstrate the ability to go deep.   

• Adaptable willingness and ability to support the team and achieve results – someone who has shown themselves willing to jump into new areas, learn new technologies, and do so quickly in a way that impacts the business.  Being able to discuss examples of having a measurable impact on the business and mastering new technologies would show how you are focused on making a difference for the team and the company.     

• Keeping things simple – someone who remains focused on simple, reliable solutions even when the problems seem complex.  We’d love to hear precedents where you took something really complicated and were able solve it with something simple, or in a way that addressed an even bigger problem in a general, flexible way.   

And as potential bonus areas, we’re also interested to hear about your 

• More in-depth previous experience in healthcare or with healthcare informatics/analytics, demonstrating in-depth knowledge of healthcare industry and terminology.  A strong experience with medical and prescription claims information is important.    

• Breadth of data skills across the board with knowledge of infrastructures (in Snowflake, AWS), data modeling, reporting & visualizations, statistics/analytics, AI/ML, Jupyter notesbooks, etc. – we’re still a small team and being able to demonstrate breadth of knowledge is as important as demonstrating depth.   

• A demonstrated ability to impact care quality and quality gaps – showing you can help quantify care quality or measure HEDIS/STARS metrics is a great benefit 

• History of automating data, analytics, and AI/ML pipelines to improve developer reliability, speed, and quality.  

Our Investors

Diverge Health is funded by GV and incubated by Triple Aim Partners, which since 2019 has partnered with entrepreneurs to co-found and launch eight companies focused on improving the quality, experience and total cost of healthcare.

At Diverge Health we believe that a diverse set of backgrounds and experiences enrich our teams and enable us to realize our mission. If you do not have experience in all areas detailed above, we encourage you to share your unique background with us and how it might be additive to our team.

Special Considerations 

Diverge Health is dedicated to the principles of Diversity, Equity and Inclusion and Equal Employment Opportunities for all employees and applicants for employment. We do not discriminate on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, reproductive health decisions, family responsibilities or any other characteristic protected by the federal, state or local laws. Our decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance and business needs.