Jobs at Surescripts

Drives new business and revenue growth across mid-market life sciences accounts by selling electronic benefit verification, prior authorization, and data analytics solutions. Owns territory strategy, prospecting, complex enterprise sales cycles, contracting, executive relationships, and quota attainment. Partners cross-functionally on solution development and implementation while translating healthcare data capabilities into customer value. The role requires approximately 50% U.S. travel and focuses on commercialization, patient access, reimbursement, and market access needs.

Leads the information security Governance, Risk, and Compliance program, including control frameworks, audits, third-party risk, regulatory compliance, risk assessments, security awareness, business continuity, crisis management, and executive reporting. Builds and manages the GRC team, oversees policy and standards, monitors risk metrics, supports customer security reviews, and guides AI-related security governance across the healthcare organization.

Build and extend automated enterprise data governance and quality frameworks. Define measurable trust rules, data contracts, validation and certification workflows, metadata, lineage, tagging, and trust scoring across a cloud data platform. Integrate governance checks into developer workflows and Collibra, coach engineering and product teams, and establish organization-wide data trust standards. The role requires strong SQL, BigQuery or comparable warehouse experience, and expertise with data quality or observability tools.

Supports clinical data analysis, workflow improvement, solution requirements, project coordination, clinical content, dashboards, and customer engagement. Serves as a clinical subject matter expert, applying healthcare terminologies, data standards, SQL, Excel, and analytical tools to generate insights from EHR data. Collaborates with EHR vendors, pharmacies, payers, and internal teams on health IT initiatives and clinical solutions, including AI-enabled capabilities.

Leads product excellence for the prior authorization product area, managing Product Managers and Analysts across ideation, discovery, prioritization, roadmap development, delivery, and lifecycle management. Partners with technical leadership on solution and build decisions, customer experience, quality improvement, onboarding, and product utilization. Coaches and develops product talent while using analytics, customer research, industry standards, and AI-assisted practices to guide product strategy and outcomes.

Generates and qualifies enterprise sales opportunities for Life Sciences healthcare technology solutions. The role prospects pharmaceutical organizations, engages VP and C-suite stakeholders, conducts discovery, validates opportunities using MEDDPICC, and collaborates with Account Executives and Marketing on account-based campaigns. Responsibilities include researching accounts, documenting intelligence in Salesforce, monitoring industry triggers, personalizing outreach, optimizing messaging, and maintaining expertise in healthcare regulations, pharmaceutical commercial models, and competitive trends.

Design, implement, maintain, and optimize hybrid public and private cloud infrastructure, storage, operating systems, enterprise management tools, and automation. Lead capacity planning, infrastructure cost analysis, security compliance, business continuity and disaster recovery planning, performance testing, documentation, and resolution of complex operational issues. Provide escalation support across technology departments while improving reliability, efficiency, and security.

Lead enterprise AI initiatives as a principal engineer and solution architect. Design, prototype, and deploy scalable generative AI, RAG, agentic AI, and predictive solutions. Translate business needs into technical requirements, evaluate technologies and vendors, conduct architecture reviews, and establish AI engineering, trust, safety, monitoring, and compliance standards. Mentor engineers and guide responsible AI practices across customer-facing products and internal operations.

Leads infrastructure strategy, architecture, implementation, performance tuning, security, automation, monitoring, and reliability across on-premise and cloud environments. Designs scalable, resilient systems; troubleshoots production issues; supports Google Cloud Platform operations; implements configuration management and infrastructure-as-code solutions; and ensures compliance, documentation, and secure access. The role serves as a principal subject matter expert and may lead cross-functional technical projects.

Designs, provisions, operates, and optimizes secure, highly available relational and NoSQL database platforms. Responsibilities include schema and data modeling, query tuning, cloud database operations, infrastructure-as-code provisioning, automated schema management, policy enforcement, replication, failover, disaster recovery, observability, and technology evaluation. The role collaborates with agile teams to deliver scalable, resilient database solutions for high-volume business workloads.

Lead the design, development, testing, deployment, troubleshooting, and production support of secure, high-volume software applications. Provide technical leadership across the software development lifecycle, conduct code and design reviews, improve automated testing and observability, mentor engineers, and promote Agile, security, privacy, and quality practices. Build and maintain AI-enabled components responsibly while collaborating with architects, customers, product partners, and engineering teams.

Supports sales and account management teams by positioning healthcare technology solutions, conducting prospect discovery and vetting, answering technical integration questions, leading RFP/RFI responses, representing the company at industry events, and advising customers on network requirements, standards, use cases, and implementation effort. The role also communicates market insights and future product needs to product innovation teams.

The Data & Analytics team at Surescripts transforms healthcare data into actionable insights, collaborating with various stakeholders to support critical decisions across the healthcare ecosystem.

The Senior Data Scientist leads data-driven initiatives, optimizing analytics for business decisions, mentoring staff, and ensuring data quality across healthcare projects.

Sell and commercialize Surescripts data and analytics to pharmaceutical manufacturers. Drive new business and account expansion, build C-level relationships, create account-based GTM plans, negotiate complex contracts, and achieve quarterly bookings. Collaborate with internal teams to close large deals and monitor market and competitive trends.

Lead technical design and delivery of enterprise AI solutions (generative AI, RAG, agentic AI, predictive models). Own architecture, deployment, responsible AI standards, vendor evaluations, prototyping, CI/CD/LLMOps, monitoring, and mentor engineers while aligning solutions to business outcomes and regulatory best practices.

Drive pipeline for Life Sciences sales by prospecting enterprise pharmaceutical accounts, qualifying VP+ stakeholders, booking meetings, researching account structures, documenting activity in Salesforce, and partnering with Account Executives and Marketing. Use MEDDPICC-style qualification, personalize outreach with industry/regulatory knowledge, monitor trigger events, and continuously optimize messaging and enablement.