At J2 Health, we know that healthcare is complicated and falls short of the experience and outcomes consumers deserve. J2 exists to enable higher value healthcare. We are a team of industry insiders and technologists and are laser focused on transforming a critical, and underserved part of the ecosystem - provider networks.

As individuals it’s difficult to find affordable doctors in our networks that meet our medical and personal needs. Healthcare organizations struggle with this too. Doing their best with unreliable data and disjointed manual processes, healthcare organizations lack the tools to evaluate the quality of their networks and prioritize the doctors to be in our plans. The founding team has grappled with this problem first hand and are building a better way.

J2 Health brings together best in class data and purpose built software to enable healthcare organizations to optimize provider network performance. This approach puts patients first and lets healthcare organizations offer networks that meet members’ needs.

We recently raised a $4.5M seed round led by Primary Ventures, Tiger Global and BoxGroup and are looking for early team members interested in building a mission driven healthcare company and are not afraid to get their hands dirty.

In this role you will accomplish:

● Help customers optimize their provider networks by conducting research projects that will generate novel insights and best practices

● Grow our knowledge base by proactively developing new data sets

● Ensure the company remains on the cutting edge by keeping up to date with the latest trends in machine learning and data science

● Drive results efficiently and effectively but working cross functionally with business, engineering, & product stakeholder

All candidates must have:

● 5+ years experience preferred in data science driven role

● Fluency with coding and an ability to mentor others in coding (SQL, python)

● Ability to think at a high level and work well with internal stakeholders to translate business needs into a data science roadmap

● The ability to work autonomously and explain results in a clear manner

● Strong enough high-level and common-sense thinking to not get lost in details, scrappiness and creativity to work with messy data, and the ability to tie data science problems to business problems

Ideal candidate also has:

● Experience with healthcare claims data

● Experience with healthcare provider data

● Worked at an early stage startup before