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Research Scientist, NLP

Founding Team | San Francisco, CA | Full Time

Job Description

About Us

Tenor is attacking one of the biggest problems in healthcare today.  Physicians are burned out and patients feel rushed or ignored due to the growing demand of administrative work on physician’s time.  We are building personalized digital assistants for doctors to give them more time in their day, help them provide better care, put more money in their wallet and have a happier and healthier panel of patients.  

Tenor leverages cutting edge voice-related technology including NLP, entity extraction/recognition, parsing and natural language search to enable physicians to do more of what they love and less of what they don’t all while providing incredible care.

The best part is that we are just getting started!  We’re led by a repeat entrepreneur with a successful exit under his belt and we offer the opportunity to be a member of the founding team with commensurate levels of equity and responsibility.  We are looking for motivated team-players who want to take the lead in building something special and have fun doing it.  

About You

You enjoy being a critical member of an entrepreneurial, high-functioning, team. You want to work on a meaningful problem in the healthcare space and are inspired by unstructured challenges, entrepreneurial environments and building technology.  You want to play a key role in building a big business from the ground up. You like to get your hands dirty as you “get things done.”  

You’re also a high-integrity and trust individual who expects the same from your coworkers.  You relish the opportunity to play a key role in building a warm, collaborative environment that welcomes vigorous, yet positive, discussions.  You are comfortable with constant learning and enjoy envisioning and researching new problems and methods to solve them.  You like to win and like to lead teams that win.  Your communication skills are top notch.

Desired skills/experience

  • Knowledge of or experience in building production quality applications in machine learning/NLP

  • Solid background in applied, predictive statistics, entity extraction and recognition, knowledge graph or fact bank construction

  • Strong programming skills in at least one object oriented language

  • PhD or MS in Natural Language Processing, Machine Learning or 3+ years equivalent experience



  • Be a part of a founding team working on a BIG and VALUABLE problem

  • Pay + Substantial Equity

  • Work with maximum autonomy and control