Jobs at Cohere Health

Leads healthcare analytics projects using clinical, claims, pharmacy, and eligibility data to evaluate cost, utilization, quality, and program performance. Develops statistical analyses, predictive models, dashboards, and reporting solutions; identifies optimization opportunities; partners with clinical, product, engineering, and business teams; presents recommendations to stakeholders; and mentors junior analysts.

Partner with business leaders in India to develop and execute people strategies, support organizational design and workforce planning, manage employee relations, guide performance and talent development, and drive engagement initiatives. The role also oversees Indian labor-law compliance, HR policy improvements, HRIS usage, and information security responsibilities while collaborating with the US People Business Partnership team.

Analyze healthcare claims, authorization, utilization, cost, operational, and clinical outcomes data to optimize auto-decisioning strategies and client implementations. Build reporting solutions, dashboards, visualizations, and self-service analytics using SQL and Tableau or Power BI. Identify performance improvements, track industry trends, communicate actionable insights, and collaborate with clients and cross-functional teams on rule refinement and metric tracking.

Audits clinical coverage decisions against guidelines, analyzes quality performance data, identifies trends and root causes, and provides coaching to Clinical Operations teams. Develops SOPs, job aids, workflow materials, onboarding, and upskilling sessions. Partners cross-functionally to implement workflow changes, manage quality and compliance risks, support change management, report improvement opportunities to leadership, and maintain operational coverage during high-volume periods.

Lead SDET work to design and maintain scalable E2E automation across UI, API, and config-driven flows. Integrate automation into CI/CD, improve test reliability, validate deployment guardrails, mentor teams, and collaborate with Platform, SRE, and Security to ensure release safety and compliance in a healthcare platform.

Build and support full-stack web applications and cloud platform features for AI-driven healthcare automation. Responsibilities include contributing to technical roadmaps, designing and developing features, testing, deploying releases, supporting production services, and collaborating with product and design teams. The role also involves database and frontend work, implementing security practices, and integrating AI or agent-based systems into product workflows.

Build and lead scalable business intelligence software, including backend systems, APIs, ETL pipelines, cloud data services, user interfaces, dashboards, and analytics capabilities. Own architecture, feature delivery, performance, reliability, testing, security, and data governance. Collaborate with product, analytics, data science, and business teams while mentoring engineers and driving technical excellence.

Designs and delivers scalable cloud-native data solutions using AWS, Apache Iceberg, dbt, Python, SQL, and Spark. Builds batch and near-real-time pipelines, ingestion and transformation frameworks, data quality controls, observability practices, and legacy modernization solutions. Supports schema evolution, partitioning, compaction, query optimization, architecture discussions, code reviews, and mentoring. Also contributes to information security management, risk assessments, continuity testing, security policies, and ISMS reporting.

Leads the L1 client support function, managing support associates, ticket triage, SLA tracking, escalations, access provisioning, client communications, and support metrics. Drives process improvements through automation, standardized workflows, alerting, and knowledge-base development. Partners with Client Success, Product, Engineering, and QA to resolve issues and improve the client support experience.

Reviews clinical information to determine medical appropriateness using evidence-based guidelines and clinical judgment. Documents medical necessity decisions, conducts peer-to-peer discussions with treating providers, supports clinical guideline development, and contributes to operational and member/provider experience improvements. The role requires an Internal Medicine physician with board certification, unrestricted licensure, managed care knowledge, strong communication skills, and the ability to work autonomously in a remote, matrixed environment.

Gather and document business and data requirements, translate needs into user stories, perform data gap analyses and source-to-target mapping, and validate data outputs using SQL. Support data profiling, quality monitoring, data lineage, QA, Agile ceremonies, documentation, workflow improvements, change management, and stakeholder communications across client, product, engineering, and business teams.

Configure and test healthcare platform requirements for client implementations, define test scenarios, resolve technical issues, and support post-implementation activities. Serve as a configuration subject matter expert for client-facing analysts, collaborate with Product, Design, Development, and Engineering teams, and help build scalable configuration management tools. The role requires advanced Excel skills, JSON-based business rule experience, Jira familiarity, and strong project execution and problem-solving abilities.

Process incoming US provider requests via fax, email, and electronic systems for prior authorization workflows. Review and validate medical documentation, enter and update patient/provider data, identify missing information, follow HIPAA, meet productivity and quality targets, and collaborate with clinical and operations teams to support process improvements.

Leads and develops a Data Platform engineering team while owning delivery of complex data initiatives. The role establishes delivery discipline, assesses technical and implementation risks, partners cross-functionally, and drives production reliability, data quality, observability, incident management, and on-call readiness. It also guides the evolution of scalable data ingestion, transformation, lakehouse, cloud architecture, governance, and reusable platform capabilities.

Consult PaaS clients on prior authorization decision automation programs, translating requirements into technical blueprints and partnering with Product, Design, Development, and Engineering. Build strategic improvement roadmaps, analyze healthcare authorization data, maintain dashboards and reports, monitor client KPIs, and ensure automation success throughout the customer lifecycle. The role also identifies scalable workflow improvements and guides customers in maximizing platform value.

Lead full-cycle technical recruitment for healthcare technology roles (software, data, cloud, DevOps, cybersecurity). Partner with stakeholders on workforce planning, sourcing, and employer branding. Maintain ATS data, metrics, and compliance (HIPAA/GDPR). Drive DEI, market intelligence, and onboarding for mid-to-senior hires in a matrixed global environment.

Configures and tests clinical platform requirements for healthcare clients, defines test scenarios and success criteria, troubleshoots technical issues, and supports implementations. Serves as a configuration subject-matter expert for client-facing teams, collaborates with Product, Development, Design, and Engineering, and helps develop scalable configuration management tools.

Leads a 20-plus-person distributed Review Engineering organization across three agile squads. Owns technical direction, production reliability, incident response, system scalability, delivery metrics, hiring, performance management, and engineering career growth. Partners with Product, Design, Security, Clinical Operations, and peer engineering teams to deliver reliable, secure, high-quality systems in a regulated healthcare environment.

Designs and delivers large-scale, governed data pipelines and infrastructure across the full data lifecycle. Responsibilities include coding in Python and SQL, optimizing Airflow, dbt, AWS, Kafka, and Iceberg/Parquet workflows, implementing data quality and observability, contributing to architecture and tool evaluations, mentoring engineers, collaborating with stakeholders, and participating in on-call support.

Analyze administrative and clinical healthcare data to build reporting solutions, identify optimization opportunities, and support clinical program effectiveness. Apply statistical analysis, data mining, and predictive modeling to improve decision-making, patient outcomes, utilization, and cost efficiency. Develop dashboards and KPIs, monitor healthcare trends, collaborate with clinical, data science, engineering, and client teams, and lead complex multidisciplinary projects.