Microsoft’s Health and Life Sciences team is dedicated to empowering healthcare organizations to achieve their goals and improve patient care. The HLS Platform team aims to create an efficient and connected healthcare ecosystem built on the Microsoft Cloud, empowering everyone across the healthcare journey to collaborate, communicate, and innovate together to provide better experiences for clinicians, staff, and patients. Our team has an exciting opportunity for a Senior Applied Research Scientist to expand our Dragon Ambient eXperience (DAX) product to international markets. DAX listens to doctor/patient conversations and writes highly accurate clinical summaries of the encounter for review by the physician. DAX is an industry leading solution in the US healthcare market, and we are expanding our languages and market to include Netherlands, Germany and France. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. \#Health&LifeScience \#hls \#hlsdp **Responsibilities** + Demonstrate broad understanding of state-of-the-art in machine learning concepts and applications. + Collaborate directly with product leaders, researchers, and engineers within Microsoft Health and Life Sciences division. + Develop state-of-the-art clinical summarization technology using advanced LLM capabilities in multiple languages. + Identifies approaches, and applies, improves, or creates a research-backed solution (e.g., novel, data driven, scalable, extendable) to positively impact DAX international summarization. + Applies language expertise and knowledge of clinical documentation to create high-quality clinical summaries for European markets. + Performs data analysis by reviewing criteria that reflect quality and technical constraints. Reviews data for inclusion in model training, taking actions to address data quality problems **Qualifications** + Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND related experience (e.g., statistics predictive analytics, research) OR + Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND related experience (e.g., statistics, predictive analytics, research) + OR equivalent experience. **Additional Qualifications:** + Experience in medical text analytics and/or clinical information retrieval + Experience with text summarization and/or text generation Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: : + This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .