compensation:
$80K — $100K *
industry:
specialty:
experience:
We are looking for a data scientist who is willing to take on new challenges and work in a highly collaborative environment with clinicians, developers, and other data scientists. There is always something new to learn, and the team both supports and challenges each other so that the best solutions win. Reporting into the Wolters Kluwer Health CTO team, this role is crucial to the continued growth and evolution of one of the leading global healthcare technology companies.
Essential Duties and Responsibilities:
· Learn, apply, and innovate on machine learning algorithms from domains such as predictive analytics, natural language processing, and optimization
· Collaborate with clinicians, product managers, and software engineers to develop applied solutions from ideation to enterprise deployment and scaling in real-world applications
· Systematically investigate statistical and algorithmic approaches to attain the level of accuracy and explainability needed in healthcare applications
· Learn fast through hands-on rapid prototyping of 3rd party software, both commercial and Open Source, and proprietary development
· Collaborate effectively with other data scientists to educate, be educated, align on best practices, and leverage existing tools and knowledge
· Participate with the team on publications and research to promote Wolters Kluwer as a thought leader in the domain of healthcare AI
· Learn and evaluate new machine learning frameworks and packages as they become available
· Monitor trends in AI to influence the solutions within Wolters Kluwer Health
Education:
• PhD or Master’s Degree in Computer Science, Electrical Engineering, Mathematics or equivalent field.
Experience:
• Master’s degree comes with requirement of 1+ year work experience in data science
• Use of core statistical methods such as correlation analysis, hypothesis testing, etc.
• Application of machine learning methods, from feature engineering to validation
• Experience with programming for data science in languages such as Python
• Strong communication skills and the ability to relay and simplify complex concepts
Preferred Qualifications:
The following is highly desired, but not required:
• Strong research publication record
• Expertise in software development
• Experience in healthcare
• Experience or understanding of SNOMED, ICD-10, LOINC, and CPT
Travel Requirements:
Up to 5% travel might be needed
Valid through: 3/27/2021