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Principal Applied Researcher-nlp

PointClickCare is the leading North American cloud-based healthcare software for the acute and long-term and post-acute care markets. For over 20 years, the company has held the same vision – to help the world care for vulnerable populations. Since its inception, PointClickCare has grown exponentially with over 1,700 employees today all working towards impacting the lives of millions. Recognized by Forbes as one of the Top 100 Private Cloud Companies and acknowledged by Waterstone Human Capital as Canada’s Most Admired Corporate Culture, PointClickCare leads the way in creating cloud-based software. With its recent acquisition of Collective Medical, PointClickCare solidifies its position as a high growth healthcare software provider, serving over 21,000 long-term and post-acute care providers and over 1,300 hospitals. Their shared mission to support vulnerable populations is allowing PointClickCare and Collective Medical to connect disparate points of care at scale faster than anyone else in the market.
For more information on PointClickCare, please connect with us on Glassdoor [1] and LinkedIn [2].
Reporting to the Vice President, Advanced Technology, you will be a member of the Advanced Technology team at PointClickCare. You are an exceptionally talented Principal Applied Researcher in Natural Language Processing with a strong Machine Learning background, looking to make a difference solving critical customer and business challenges in the dynamic healthcare market by building cutting-edge solutions leveraging multiple kinds and sources of data with a variety of machine learning and natural language based predictive models and other solutions to be deployed at scale.   You thrive on solving complex natural language processing and machine learning modelling challenges, applying creative and pragmatic solutions--from framing problems to preparing data, to selecting appropriate techniques, algorithms and features to prototyping, building and evaluating models that will truly transform healthcare and enable our customers to deliver better care to the aging population. Responsibilities:· You will be applying NLP and ML techniques to develop machine learning models and other solutions which may involve working with data scientists and machine learning experts, domain experts, UI/UX designers and product leaders as well as backend engineering and infrastructure teams and operations to integrate the models into successful end user experiences in the context of a large-scale cloud based SaaS production environment.  · Design, build and evaluate predictive models, extractors, classifiers, recommenders or other machine learning based models to be deployed into production environments, including research and experimentation to select appropriate ML and NLP approaches, algorithms and frameworks.  · Perform or assist in data collection, data cleaning, data analysis, algorithm selection or design, model training using supervised, semi-supervised or unsupervised learning, development and evaluation, and scaling up the system.  · As a principal applied researcher, you will bring technical mentorship on advanced NLP, data science, statistical and machine learning methods and technologies to the team, and help the organization develop new capabilities for innovative solutions. · You will have substantial independence and responsibility from day one.  Required Experience: · PhD or comparable level of experience in Computer Science, Math, Physics, Engineering or a related field.   · Expert level practical experience applying machine learning to solve real-world problems including NLP, predictive analytics, content extraction, classification and deep learning.  · Experience building and deploying machine learning and NLP models into large-scale SaaS products including familiarity with industry standard software development concepts such as scaling issues, version control, CI/CD pipelines, and security. · Expert level experience with Natural Language Processing and expertise in at least one area of machine learning. This includes hands on work performing standard tasks (e.g. feature selection, language modeling) and techniques (e.g. transfer learning, transformers, etc.) as well as applying specific models and tools.  · Solid understanding and experience with multiple kinds of models and machine learning approaches such as logistic regression, Random Forest and other ensemble methods, Bayes networks, active learning, machine teaching, reinforcement learning, deep learning and other ML techniques.  · Proficiency in Python and one or more of C, C++ or Java · Experience doing data engineering for ML and NLP applications, including exposure to database systems and proficiency with SQL  · Proficiency building models from big data using modern machine learning packages, models data analysis stacks such as NumPy, SciPy, Scikit-learn, fastText, Pandas, Keras, Tensorflow, PyTorch, CNTK and NLTK  · Accomplished and curious problem finder and problem solver, able to think both creatively and methodically, including strong fundamentals in optimization, problem solving, model building and evaluation · Strong interest in applying NLP and machine learning to healthcare related problems and data   · Experience working with large data sets using big data processing frameworks (e.g. Azure Data Lake, HDFS/Hadoop, Spark or other cluster computing/MapReduce frameworks)   · Happy doing whatever data wrangling and cleaning are necessary to create solutions, but also looking for ways to make model development processes more efficient over time.   · Experience using public cloud infrastructure for building, evaluating and deploying machine learning models (Azure, AWS, Google Cloud)  · Exceptional communication skills and comfortable working on a distributed team Working at PointClickCare goes beyond the resume, because the work we perform makes a true difference in people’s lives. We build innovative healthcare technology for seniors and their caregivers that improve their quality of life and well-being on a daily basis. We believe work is so much more meaningful when you’re doing it with a higher purpose. For more information on PointClickCare, please visit us on Glassdoor [3] and LinkedIn [4]
Job LocationRemote
Position TypeFull-Time/Regular
#LI-MJ1It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.
When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy [5]. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team here recruitment@pointclickcare.com [6]

  1. http://www.glassdoor.ca/Overview/Working-at-PointClickCare-EI_IE452666.11,25.htm
  2. https://www.linkedin.com/company/50625?trk=tyah&trkInfo=tarId%3A1406914835274%2Ctas%3Apointclickcare%2Cidx%3A2-1-4
  3. http://www.glassdoor.ca/Overview/Working-at-PointClickCare-EI_IE452666.11,25.htm
  4. https://www.linkedin.com/company/50625?trk=tyah&trkInfo=tarId%3A1406914835274%2Ctas%3Apointclickcare%2Cidx%3A2-1-4
  5. https://www.lever.co/privacy-policy
  6. mailto:recruitment@pointclickcare.com

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