This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
Do you come alive when a path isn’t obvious? Would you see open, complex, scientific, AI/ML, and engineering problems as something to be shaped into clear plans, crisp milestones, and aligned teams? If you’re energized by being the connective tissue that makes audacious research programs work, then you should join our team. We’re Microsoft Research Health Futures. A fast moving, global group of scientists, engineers, and medical doctors building next generation AI in health and life sciences. We pair academic grade research with enterprise software rigor to empower every person on the planet to live a heathier future.
Job Responsibility:
Bring structure and momentum to complex, AI/ML‑heavy research programs by turning open goals into sequenced plans and keeping cross-team dependencies visible.
Coordinate strategic roadmaps, decision logs, readiness gates, and will help orchestrate evaluation pilots with external collaborators.
Contribute to our culture of creating safe, compliant, and responsible AI.
Joining a geographically distributed team with hybrid schedules (expected three days per week in-office) and periodic travel for in-person working sessions.
Requirements:
Bachelor's Degree in Computer Science, Engineering OR related disciplines OR equivalent practical experience AND 2+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience.
Master’s or PhD in Computer Science, Engineering, or related disciplines AND 5+ years experience engineering, product/technical program management, data analysis, or product development OR equivalent experience.
Experience in AI/ML research environments or research-to-product tech transfer.
1+ year(s) experience reading/writing code (Python, notebooks, evaluation scripts) in research or production settings.