Senior Applied Scientist - Health and Life Sciences at Microsoft

Burlington, Massachusetts, United States -

Full Time

Start Date

Immediate

Expiry Date

13 Apr, 26

Salary

234700.0

Posted On

13 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Speech Recognition, Voice-Driven Document Creation, Machine Learning, Natural Language Processing, Generative AI, C++, Python, Data Processing, Analytics, Collaboration, Teamwork, Problem Solving, Communication, Research, Statistical Analysis, Algorithm Development

Industry

Software Development

Description

Overview Microsoft’s Health and Life Sciences team is dedicated to empowering healthcare organizations to achieve their goals and improve patient care. We aim to create an efficient and connected healthcare ecosystem which empowers everyone across the healthcare journey to collaborate, communicate, and innovate together to provide better experiences for their workforces and patients or members alike. We are looking for a Senior Applied Scientist - Health and Life Sciences to join our Dragon ASR team. In this role, you will collaborate with a highly motivated, multi-disciplinary group of scientists and engineers, primarily based in Vienna, Austria. Our team develops interactive and ambient speech recognition technologies powering Health and Life Sciences products such as Dragon Medical One, Dragon Copilot, and PowerScribe One. Our mission is to deliver solutions that not only address current challenges but also pave the way for the future. We seek a passionate scientist who thrives on innovation, embraces teamwork, and is committed to excellence. The ideal candidate is: Deeply engaged with the latest advancements in AI and speech technologies Focused on team success, contributing to a collaborative and inclusive environment Skilled in delivering high-quality, production-ready code that drives real-world impact 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. Responsibilities Bring new technology and approaches into production by applying long-term research efforts to solve immediate product needs Design, implement, optimize and experimentally evaluate features related to speech recognition and voice-driven document creation Analyze field data, identify problems and provide strategic direction for future-proof solutions Implement and enhance tools, learning algorithms and prototypes to advance speech technology capabilities Work closely with speech recognition experts, product managers, and engineering teams, and effectively communicate results and ideas to peers and leadership Qualifications Minimum qualifications Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years 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 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. Other Requirements: 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: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred qualifications 5+ years of software development experience in production environments in C++ and Python Experience working with machine learning models in areas such as speech recognition, natural language processing, generative AI Proficient communication skills Experience with speech recognition algorithms (speech-to-text) Experience with the Azure ecosystem Experience with large-scale data processing and analytics #hls #hlssp #Health&LifeSciences #speechrecognition Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. 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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Responsibilities

The Senior Applied Scientist will bring new technology into production, design and optimize features related to speech recognition, and analyze field data to provide strategic direction. They will also implement and enhance tools and algorithms to advance speech technology capabilities.