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Senior NLP Research Scientist

Apply Job ID 1-43790 Date posted 02/11/2020 Location Burlington, Massachusetts

Company Overview:

Nuance is the pioneer and leader in conversational artificial intelligence (AI) innovations that bring intelligence to everyday work and life. We deliver solutions that understand, analyze, and respond to people, amplifying human intelligence to increase productivity and improve security. With decades of both domain and AI expertise, we work with thousands of organizations across a wide range of industries.

Join our team! At Nuance, we are constantly reinventing how people connect with technology and with each other. Our AI-powered solutions empower organizations to transform “business as usual.” For decades, the world’s leading financial, healthcare, telecommunications, retailers, and government organizations have trusted Nuance to bring them award-winning solutions that deliver more meaningful outcomes and empower a smarter, more connected world. From clinical speech recognition technologies that free physicians to spend more time caring for patients to real-time intelligence that powers billions of customer interactions, we’re deeply committed to helping organizations push the boundaries of what’s possible.

Job Summary:

Position summary

Research scientist in the Healthcare Research organization working on state-of-the-art deep learning systems for our Ambient Clinical Intelligence product.  Major duty is to help develop deep learning technology to improve physicians’ efficiency in clinical documentation, as well as develop tools to help other team members do similar research.

Principal duties and responsibilities

  • The research will focus on creating state of the art, scalable, and self-learning systems for Ambient Clinical Intelligence and similar products.
  • This includes designing, training and tuning a variety of deep neural network machine learning models.
  • There will be a need to create models from varying levels of data quality and quantity, so ability to creatively apply domain knowledge will be important.
  • It will be essential to perform data and error analysis in order to improve models and understand their shortcomings.

Knowledge, skills and qualifications

Education: Ph.D. (or M.S. with research and development experience) in Computer Science, Computational Linguistics, Electrical Engineering or equivalent.

Minimum years of work experience: 3+ Years

Required skills:

  • Minimum of 2 years experience (including graduate school) training machine learning models, running experiments, and doing error analysis.
  • Proven experience with Machine Learning algorithms, including Deep Neural Networks, supervised and semi-supervised methods with strong knowledge of the mathematical underpinnings behind these models.
  • Experience with running experiments on large datasets.
  • Experience with Natural Language Processing methods.
  • Experience with open-source machine learning toolkits such as Tensorflow, Pytorch, etc.
  • Software development experience in Python or similar language.
  • Bash/Unix scripting skills

Preferred skills:

  • Experience in medical text analytics and/or clinical information retrieval is a definite PLUS.
  • Experience with text summarization and/or text generation is a PLUS.

Additional Information:

Nuance offers a compelling and rewarding work environment. We offer market competitive salaries, bonus, equity, benefits, meaningful growth and development opportunities and a casual yet technically challenging work environment. Join our dynamic, entrepreneurial team and become part of our continuing success.  

Nuance Communications, Inc. (“Nuance”) is an equal opportunity employer.  We evaluate qualified applicants without regard to race, age, color, religion, sex, national origin, disability, veteran status, gender identity, sexual orientation and other legally protected characteristics. The EEO is the Law poster and its supplement is available here. If you need a reasonable accommodation because of a disability for any part of the employment process, please call 781-565-5086 – Human Resources Department and let us know the nature of your request and your contact information.


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