Who we are
Cityblock Health is a new type of healthcare company, operating out of Brooklyn and backed by Alphabet’s Sidewalk Labs, along with some of the top healthcare investors in the country.
Our mission is to radically improve the health of urban communities, one block at a time. Importantly, our solutions are designed specifically for Medicaid and lower-income Medicare beneficiaries, and we bring the capability to deliver care in the home and neighborhood with our field-based teams.
In close collaboration with community based organizations and a leading commercial partner, we are reorganizing the health system to focus on what matters to our members. We deliver personalized primary care, behavioral health, and social services through a network of neighborhood hubs with deep community-based partnerships and world-class technology.
We partner with payers and at-risk providers, taking capitated financial risk to care for their most vulnerable, high and rising risk members. Additionally, we invest in strategic partnerships with community-based and social services organizations, in some instances bringing them into the value equation through sub-capitation and performance-based compensation.
Over the next year we’ll grow quickly, including entering new markets, each with their own commercial relationships and field-based teams. This role will be a key contributor to the success of our business.
We are seeking a curious, precise data analyst to design and build analytic solutions that will inform business decisions, drive operations, measure our performance and demonstrate our value as a company.
Healthcare data is complex and vast, so you must be excited about sinking your teeth into complex problems, untangling them and communicating your findings to the team. Behind every data element is a real person, with real problems that Cityblock is working hard to address, and the Data team is responsible for delivering accurate and timely information to steer these efforts.
If you like hard problems, have experience pulling insight out of complex structured and unstructured data sources, and are an amazing teammate, we want to hear from you!
- Work with clinical, operational and research leaders to identify levers for broad system change, pull them, and measure the results
- Perform complex descriptive analyses over production-scale data sets to drive business decisions
- Build-out our real-time reporting dashboards and own early data tooling across Clinical, Product, and Customer Success verticals
- Design reports to steer our value-driven business lines, including traditional and non-traditional success metrics. Work with our clinical operations team to design robust evaluation models
- Work with our Chief Health Officer, Chief Product Officer, and Engineering teams daily
You’d be a good fit if:
- You enjoy doing whatever it takes to execute on complex projects, whether it’s researching a new technology you haven’t worked with before, or building out complex data transformations in order to fuel a dashboard
- You have 2+ years of experience in a highly operational data science or data analysis role
- You are a strong SQL programmer, with experience navigating and cleaning messy data at scale
- Experience in a high growth technology company
- You have exposure to healthcare data in at least one domain (claims processing, EHR data pulls, HIE feeds, prescriptions, etc)
Nice to have:
- Experience building data products using Looker/LookML
- Experience with Jupyter notebook and related datavis packages
- Comfort across a range of data analysis toolsets (Python, R, SAS, SPSS)
- Exposure to standard clinical metrics and taxonomies (HEDIS, STARS, HCC, etc)
You should include these in your application:
- A resume and/or LinkedIn profile.
- A short cover letter and link to any public portfolio or previous data analyses and visualization work.
Cityblock values diversity as a core tenet of the work we do and populations we serve. We are an equal opportunity employer, indiscriminate of race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic information, or any other protected characteristic.