[Hiring] Associate Director, Clinical Solutions Engineering @Revolution Medicines

Role Description

Revolution Medicines is a global, commercial-state oncology company dedicated to discovering, developing and delivering innovative medicines for patients with RAS-addicted cancers. Our people are united by a shared way of working: follow the science, challenge assumptions, act with urgency and hold ourselves to a high standard of rigor—all in service of patients.

The Opportunity:

• Clinical Solutions Leadership: Lead the development and implementation of in-house applications, analytics, and AI-enabled solutions that support other clinical functions.
• Team Management and Development: Manage and mentor engineers, programmers, and technical contractors. Establish clear goals, provide regular feedback and coaching, support career development, and build a collaborative team culture grounded in technical excellence, accountability, and continuous learning.
• Solution Strategy and Delivery: Partner with functional leaders to define clinical solutions roadmap, prioritize business needs, and translate requirements into achievable implementation plans.
• Dashboard and Application Development: Lead and contribute to the development of applications, dashboards, reports, backend dataflows, and data transformations that support clinical trial data review, analysis, performance metrics, and operational insights.
• AI Solution Architecture: Guide the design and delivery of scalable AI solutions and governed automation in regulated environments.
• AI Agent Development: Oversee and contribute to the development of Retrieval-Augmented Generation (RAG) agents and LLM-enabled applications supporting multi-step workflows.
• Programming and Workflow Modernization: Lead approaches for translating, modernizing, and validating analytical code across programming languages.
• Clinical Data and System Integration: Collaborate with Clinical Systems, IT, and business stakeholders to integrate solutions into clinical data platforms, statistical computing environments, and operational systems.
• Technical Leadership and Knowledge Sharing: Remain actively involved in architecture, prototyping, code review, and resolution of complex technical issues.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, Statistics, Bioinformatics, Health Informatics, or a related technical field; advanced degree preferred.
• 9+ years of progressive experience in software engineering, data engineering, statistical programming, clinical systems, AI/ML engineering, solutions engineering, or related technical roles.
• Demonstrated experience leading technical teams or workstreams, including setting priorities, assigning work, reviewing deliverables, and coaching engineers or programmers.
• Hands-on experience designing and building AI, machine learning, or generative AI solutions.
• Strong programming experience in SAS, R, and Python for clinical data analysis, automation, reporting, and statistical computing workflows.
• Demonstrated ability to translate business and scientific needs into technical designs, implementation plans, reusable frameworks, and reliable production capabilities.
• Experience delivering and supporting solutions in pharmaceutical, biotechnology, healthcare, or life sciences environments.
• Ability to manage competing priorities, coordinate cross-functional dependencies, and guide projects from requirements through implementation, adoption, and ongoing support.
• Strong communication, problem-solving, and stakeholder management skills.

Requirements

• Experience managing a small engineering or programming team, including hiring, onboarding, performance management, development planning, and contractor oversight.
• Experience with data visualization, web application development, APIs, and user-facing analytics tools.
• Experience with clinical systems such as EDC, CTMS, eTMF, safety systems, data warehouses, or statistical computing platforms.
• Deep experience with SAS and R in clinical development.
• Experience translating or refactoring code across SAS, R, Python, and SQL while maintaining analytical equivalence, auditability, and validation evidence.
• Experience designing AI agent architectures incorporating planning, tool calling, retrieval, guardrails, evaluation frameworks, human review, monitoring, and cost controls.
• Familiarity with cloud-based AI services, LLM APIs, vector databases, MLOps platforms, CI/CD practices, and secure deployment patterns.
• Knowledge of clinical trial data standards and workflows.
• Experience establishing technical standards, reusable solution patterns, documentation, training materials, and adoption practices.
• Experience with version control, secure software development, agile delivery, vendor evaluation, and resource planning.

Benefits

• Competitive cash compensation.
• Robust equity awards.
• Strong benefits.
• Significant learning and development opportunities.

Company Description

Revolution Medicines is an equal opportunity employer and prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital status, medical condition, and veteran status.

Revolution Medicines takes protection and security of personal data very seriously and respects your right to privacy while using our website and when contacting us by email or phone.

Base Pay Salary Range: $177,000 — $221,000 USD