For more than 20 years, PointClickCare has been the backbone of senior care. We’ve amassed the richest senior care dataset making our market density untouchable and our connections to the healthcare ecosystem exponentially more powerful than those of any other platform. 

With Collective Medical & Audacious Inquiry, we’ve become the most expansive, full-continuum care collaboration network, offering care teams immediate, point-of-care access to deep, real-time insights at every stage of a patient’s journey.

For more information on PointClickCare, please connect with us on Glassdoor and LinkedIn.

Responsibilities: 

·            Perform research, experimentation, and related engineering to design, build and evaluate machine learning-based models to be deployed into production environments,  

·            Tasks may include (for example) data collection, data cleaning, data analysis, model training, development, and evaluation, and scaling up the system. 

·                Master’s degree or equivalent experience in Computer Science, Math, Physics, Engineering or a related field and experience with advanced mathematics or statistical methods applicable to machine learning.

·                Proven industry experience, through one or more commercial product releases

·                Proficiency in Python  

·                Experience doing data engineering for ML applications, including exposure to database systems and proficiency with SQL.

·                Exposure to building models from big data using modern machine learning packages and data analysis stacks such as NumPy, SciPy, Scikit-learn, Pandas, Keras, Tensorflow, PyTorch, CNTK or NLTK 

·                Curious problem finder and problem solver, able to think both creatively and methodically.  

·                Strong interest in applying machine learning to healthcare-related problems and data.

·                Works well with others and independently and comfortable working on a distributed team

·             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) and/or public cloud infrastructure (Azure, AWS, Google Cloud) for building, evaluating, or deploying machine learning models is a plus.

 

It 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 upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations.

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PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.