Docent Health is a revolutionary new company working to help health systems transition to consumer-centric business models. Our belief it that ALL patients should be treated like high-value customers.

 

Docent Health is an early-stage start-up with significant blue chip institutional support: ideated inside of Oxeon Partners venture studio, co-development partnership with the Hospital for Special Surgery, and funded by Bessemer Venture Partners, New Enterprise Associates (NEA), and Maverick Capital.

 

Best practices in other consumer-centric industries can be applied to healthcare to help patient’s feel known, valued and supported. Technology and human-based services are critical to building and maintaining positive relationships with patients.

 

When executed correctly, “great care” coupled with a “great experience” results in increased patient satisfaction scores, higher patient retention rates, increased net promoter scores, and help patients become more engaged in their own healthcare journeys.

 

Specifically, Docent Health is a technology and services platform built upon three foundational pillars: 1) a customer experience playbook designed for the health system setting, 2) a robust patient experience technology platform consisting of enterprise and consumer mobile solutions driven by intelligent analytics of patient and consumer data, and 3) a team of dedicated patient liaisons (Docents) available as a single point of contact to patients as they proceed through their journey. These assets are currently being co-developed alongside Docent Health’s anchor client, Hospital for Special Surgery, a leading health system and the nation’s top ranked hospital for adult orthopedics that has attained top patient satisfaction scores for over a decade, and two nationally recognized non-profit health systems.

You will:

 

· Join a first-mover organization focused on cracking the code on patient experience to ensure that all patients feel known and valued in the moments where they need it most

· Help direct and develop a Sentiment Analysis Engine, create data science workflows and influence the technology strategy of a quickly growing startup as a founding member of an engineering team

· Work closely with the Data Science Lead on the development of our data science roadmap and influence the business through technical insight

· Develop a standard set of tools and processes for data management and visualization

· Work in a highly collaborative, mission-driven, agile product team

· Partner with multiple stakeholders across the company to develop a centralized, comprehensive data platform for the collection, storage, and distribution of operational and analytics data and models

· Play a critical role by sustaining an analytics and data-driven culture by delivering insights on all parts of the business from the operational aspects of services to the data being collected by the platform

· Embody the Docent values by operating with thoughtful efficiency, leading with data, and interacting with empathy

· Be responsible for providing transparency to business units through continual education on the approach and progress of data science projects and initiatives

· Enable stakeholders to develop and support their business initiatives with standardized data tools and documentation

 

 

You already have:

 

· 3+ years of experience working in data science, data mining and/or machine learning

· Proficiency with python/R and packages such as pandas, numpy, scikit-learn, caret,…

· Experience with open source data visualization libraries such as Matplotlib, Seaborn, ggplot2, D3.js, bokeh and platforms such as plot.ly or tableau

· 5+ years of software development experience in an Agile environment

· 3+ years SQL Experience

· Git mastery and comfortable with the command line

· Bachelor's degree in Computer Science, Systems Engineering or similar preferred

· An inquisitive mindset and demonstrated ability to show initiative.

· An ability to quickly estimate effort, analyze and solve problems, and take ownership of a problem from beginning to end

· Strong verbal and written communication skills (both technically and non-technically)

· Able to work in an environment at a fast pace and with changing priorities

· Demonstrated ability to rapidly adapt to new technologies and quickly contribute to a world-class engineering team that delivers high-quality code

· Hands-on experience with NLP and text mining libraries such as NLTK, gensim, wordnet, spacy.io, etc ...

· Some innovative end-to-end data science projects that you are proud of

· Basic understanding of matrix theory, probabilities or stats

· Hands on experience with cloud environments AWS, Google cloud, Microsoft

· Previous experience with HIPAA and/or working in a healthcare or regulated environment