Removing roadblocks surrounding the patient care experience is the main goal of Cohere Health employees, but it’s also just the start. With that mission in mind, professionals across the company work to validate and generate data more quickly to streamline and automate processes like utilization management, which helps health insurance companies manage the cost of healthcare benefits. In a healthcare system full of hurdles, such advances are essential. “It is more important, now more than ever, that we help simplify the process for health plans, providers and members,” one employee told Built In.
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At a glance
01
Company core values
Purpose drives performance; rethink the status quo; embrace humility; connect, collaborate, cohere.
02
Level the playing field
In addition to a commitment to increasing people from underrepresented groups in leadership positions, our product advances health equity.
03
Open positions
Current open roles include data analysts, software engineers, machine learning engineers and clinicians.
04
Full steam ahead
In the spring of 2021, we raised $36 million in a Series B led by Polaris Partners.
Featured employees
Optimization ahead
Simplifying the healthcare payment process
At Cohere Health, Jason Ehule is committed to helping unblock a broken healthcare system by removing barriers to entry and simplifying the payments process. This year, that mission will take the form of signing on new payer customers. Using artificial intelligence and cutting-edge technology, sales development representatives like Ehule work with sales leaders, growth team members and marketing professionals to define and implement strategic engagement so they can better target prospects from various health plans.
Jason Ehule
Manager of Sales
At the end of the day, we have an extreme focus on not delaying care to the patient.
Remote dream team
Connecting professionals across locations
Emma Nien
Senior Director of Data Management and Science
Over the past couple of years, many professionals have had to overcome the hurdle of onboarding employees remotely. But few have had the unique challenge Emma Nien faces: building a remote team from scratch. The director of data management and science credits open communication channels to her success in doing just that, citing the brainstorming sessions her team holds for constantly improving the process.
Not only do we make sure we are on the same page, but we also read from the same book!
The Business Intelligence Engineer will develop BI reports and dashboards, ensuring data quality and collaborating with business stakeholders for data-driven insights.
Design and deploy machine learning algorithms, develop production systems, and collaborate with stakeholders to align ML solutions with business objectives.
The Senior Machine Learning Engineer will architect advanced agent-driven ML systems, oversee development and deployment, and ensure cross-team collaboration. Responsibilities include automation, system monitoring, and compliance oversight.
