Base Salary
$125k - $215k/yr
Responsibilities
- Build credibility with R&D leaders and shape strategic, first-of-kind engagements.
- Lead R&D opportunities from pre-sales through delivery, including scoping, qualification, readiness assessment, feasibility, business value, staffing, estimates, success criteria, and phased plans.
- Coordinate account, advisory, customer success, product engineering, and services teams throughout engagement delivery.
- Translate scientific and engineering challenges into product backlogs, workflows, research objectives, metrics, and target-state AI architectures.
- Lead design and delivery of MVPs, proofs of concept, and production-ready solutions involving Discovery workflows, agents, integrations, simulations, and data pipelines.
- Own technical workstreams across qualification, discovery, design, implementation, build, and post-go-live optimization.
- Evaluate emerging AI capabilities and provide scientific and technical oversight.
- Develop reusable architectures, delivery playbooks, technical assets, and best practices while influencing the Microsoft Discovery roadmap.
Requirements
- Master’s degree in computer science, information technology, engineering, or a related field plus 6 or more years of relevant experience, or a bachelor’s degree in those fields plus 8 or more years of relevant experience, or equivalent experience.
- At least 2 years of experience managing multiple projects or portfolios.
- At least 1 year of experience leading blended, multidisciplinary teams.
- Preferred experience in pharmaceutical or life sciences R&D, including areas such as drug discovery, genomics, bioinformatics, computational biology, or clinical development.
- Understanding of scientific methods, experimentation, data-driven decision-making, and R&D workflows.
- Experience applying AI, machine learning, generative AI, data science, simulation, or advanced analytics to business or scientific problems.
- Ability to work with technical experts and executive stakeholders and influence cross-organizational outcomes.
- Understanding of data science and machine learning algorithms, exploratory data analysis, model development, and evaluation.
- Familiarity with Azure cloud services, Foundry, AI Search, agentic AI architectures, knowledge graphs, containers, and scientific high-performance computing.
- Experience with product management, agile delivery, backlog management, large matrixed organizations, and innovation-focused initiatives.
- Experience using GitHub Copilot, Claude Code, Codex, or similar tools.
Benefits
- The typical U.S. base pay range is USD $124,500–$214,600 per year, with a separate San Francisco Bay Area and New York City metropolitan area range of USD $154,500–$231,700 per year.
- Certain roles may be eligible for benefits and other compensation.
- Applications are accepted on an ongoing basis until the position is filled, with the posting open for at least 5 days.
Tech Stack
Categories
About Microsoft
Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. Because impact matters. Microsoft operates in 190 countries and is made up of approximately 228,000 passionate employees worldwide.