Lead Data Scientist

Opportunity Overview:

As a Lead Data Scientist at Cohere Health, you will drive high-impact analytics and modeling initiatives that directly inform product development, clinical strategy, and business decision-making. You’ll operate as a senior individual contributor, owning complex problem spaces end-to-end, from framing ambiguous questions to delivering actionable insights and scalable solutions. You’ll partner closely with Product, Clinical, and Engineering teams to translate real-world healthcare challenges into data-driven strategies, while helping elevate analytical rigor and best practices across the team. This role is ideal for someone who thrives in a fast-paced, mission-driven environment and wants to make a meaningful impact on how care is delivered.

What you’ll do:

• Own and execute end-to-end analytical projects, from problem framing and data exploration to model development and delivery of insights
• Partner with cross-functional stakeholders to translate business and clinical questions into structured analytical approaches
• Develop advanced statistical models and analytical frameworks to drive decision-making and optimize outcomes
• Design and implement experiments, performance tracking, and hypothesis-driven analyses to inform product and clinical strategies
• Build scalable, reusable code and analytical assets to support ongoing insights and operationalization
• Communicate findings clearly through data visualization, storytelling, and executive-ready presentations
• Contribute to team best practices and mentor junior team members through guidance and review

What you’ll need:

Must-haves

• 6+ years of experience in data science, ideally in healthcare or a mission-driven environment
• Strong experience translating ambiguous problems into structured analytical solutions
• Expertise in statistical modeling, experimentation, and data analysis methods
• Hands-on experience tuning and evaluating ML models for NLP tasks (e.g., transformers, large language models)
• Experience building and scaling data science solutions in cloud environments (e.g., AWS)
• Expertise in Python programming language
• Experience working with large, complex datasets (e.g., claims, EMR, or similar)
• Ability to communicate complex insights to both technical and non-technical audiences

Nice-to-haves

• Experience applying data science solutions on healthcare data (EMR, claims, SDOH data)
• Familiarity with distributed data processing (e.g., PySpark, Spark SQL)
• Experience with search or graph-based data systems (e.g., Elasticsearch, graph databases)

About Cohere Health:

Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members. With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.