Base Salary
$102k - $194k/yr
Responsibilities
- Build executive credibility with R&D leaders and lead strategic, first-of-a-kind engagements.
- Lead R&D opportunities from pre-sales through delivery, including qualification, technical scoping, readiness assessment, feasibility, business value, staffing, estimation, and delivery planning.
- Coordinate account, advisory, customer success, product engineering, and services teams throughout engagements.
- Translate scientific, engineering, and advanced-computing challenges into backlogs, user stories, research objectives, metrics, workflows, and target-state AI architectures.
- Lead the design and delivery of MVPs, proof-of-concepts, 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 to ensure credible, feasible solutions.
- Develop reusable architectures, delivery playbooks, technical assets, best practices, and product feedback to scale R&D motions.
Requirements
- Master’s degree in Computer Science, Information Technology, Engineering, or a related field and 4+ years of relevant experience, or bachelor’s degree in one of these fields and 6+ years of relevant experience, or equivalent experience.
- Preferred direct experience in pharma or life sciences R&D, 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 scientific or business problems.
- Ability to work with technical experts and executive stakeholders, influence without authority, and drive cross-organizational outcomes.
- Understanding of data science and machine learning, including 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 first-of-a-kind innovation initiatives.
- Experience using GitHub Copilot, Claude Code, Codex, or similar tools.
Benefits
- The role may be eligible for benefits and other compensation.
- The U.S. base pay range is $101,800–$193,800 per year, with a separate San Francisco Bay Area and New York City range of $126,100–$207,600 per year.
- Applications are accepted on an ongoing basis until the position is filled, with the posting open for at least five 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.