Search the 12 jobs at Caris Life Sciences

The Billing Operations Specialist I processes claims within an automated billing system, reviews insurance information, and follows up on unpaid claims to maximize collections. The role requires strong communication skills to educate payers on service value and drive towards resolving billing issues while maintaining professionalism and relationship management with insurance representatives.

The Billing Operations Specialist processes claims in an automated billing system, collects and reviews patient insurance information, and follows up on unpaid claims with a focus on data integrity and precision. The role involves educating insurance providers on the necessity of services and building relationships with third party payers to ensure timely payment.

The Lead - Billing Operations Specialist resolves un-billable claims and claim denial issues, analyzes accounts, makes client calls for information, reviews responses, updates systems, and identifies billing trends to prevent exceptions while assisting with other duties as assigned.

The Account Manager is responsible for driving growth and supporting customer satisfaction within the territory. This role includes account management, upselling, and working closely with various teams to enhance customer relationships and maintain company assets. The ideal candidate should possess strong sales experience in the pharmaceutical or medical sectors.

The Account Manager is responsible for the growth of accounts in their territory. Key responsibilities include nurturing existing relationships, supporting sales strategies, presenting product solutions, and ensuring customer satisfaction. The role demands effective communication, strategic planning, and collaboration with internal teams to exceed client expectations and meet sales targets.

The SEC Reporting Manager is responsible for internal and external financial reporting, including 10-Q’s and 10-K’s, oversight of SEC filings, and compliance with US GAAP and SEC regulations. The role involves coordination across departments, managing deadlines, research on trends, and implementation of new accounting guidance and controls under SOX.

The EMR Order and Result Interface Engineer will manage the integration of healthcare data into Caris' systems, lead data discovery and validation projects, and optimize ETL processes. They will work closely with business leaders to communicate technical needs and contribute to the design of data infrastructures while ensuring data accuracy.

The Senior Revenue Accountant is responsible for managing all revenue-related accounting activities, ensuring compliance with ASC606 standards, and performing monthly revenue recognition processes. Key responsibilities include preparation of schedules, detailed revenue analysis, reconciliation of accounts, technical accounting research, and support during audits.

The Staff DevOps Engineer designs, implements, and maintains scalable Linux-based infrastructure across on-premises and cloud environments. They drive automation, enhance system reliability, and support cloud migration. Responsibilities include managing automation pipelines, ensuring security compliance, optimizing performance, and participating in cross-functional collaboration and troubleshooting.

The VP of Strategic Account Management will build and manage relationships with academic accounts and corporate organizations, leading a team to exceed volume and revenue goals. Responsibilities include developing key account strategies, leading a matrix team, and ensuring account performance while driving growth in molecular solutions.

The Senior Staff DevOps Engineer will lead the development and implementation of scalable cloud-native infrastructure using AWS and Kubernetes. Responsibilities include architecting complex environments, driving cloud migrations, developing observability solutions, and mentoring junior engineers while aligning technology with business goals.

The Data Scientist will develop and validate molecular biomarkers for cancer treatments, utilizing statistical and machine-learning methods on genetic data. Responsibilities include feature set development, project roadmaps, communication of clinical outcomes, and collaboration with disease experts and cross-functional teams.