Job Description

Senior Machine Learning Engineer

Do you want to use your skills and talent to make a meaningful impact on healthcare?

Wolters Kluwer Health is a fast-growing and innovation-driven healthcare information technology company working on the front lines of clinical care. Our talented team of clinicians, technologists, and product visionaries collaborate to provide advanced solutions that tackle some of the most challenging problems in our healthcare system.

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

OTHER DUTIES

Performs other duties as assigned by supervisor.

JOB QUALIFICATIONS

Education:

• PhD or Master's Degree in Computer Science, Electrical Engineering, Mathematics or equivalent.

• Bachelors Degree and 7+ years of experience or Masters Degree and 3+ years of experience or PhD and 2+ years of experience. Degree preferred in Computer Science, Electrical Engineering, Mathematics or equivalent; specializing in machine learning, NLP, or a related field.

Experience:

• 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

About Wolters Kluwer

Wolters Kluwer N.V. (AEX: WKL) is a global leader in information services and solutions for professionals in the health, tax and accounting, risk and compliance, finance and legal sectors. We help our customers make critical decisions every day by providing expert solutions that combine deep domain knowledge with specialized technology and services.

Wolters Kluwer reported 2016 annual revenues of EUR4.3 billion. The company, headquartered in Alphen aan den Rijn, the Netherlands, serves customers in over 180 countries, maintains operations in over 40 countries and employs 19,000 people worldwide. Wolters Kluwer shares are listed on Euronext Amsterdam (WKL) and are included in the AEX and Euronext 100 indices.

For more information about our solutions and organization, visit www.wolterskluwer.com, follow us on Twitter, Facebook, LinkedIn, and YouTube.

EQUAL EMPLOYMENT OPPORTUNITY

Wolters Kluwer U. S. Corporation and all of its subsidiaries, divisions and customer/business units is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

INFORMATION

For any assistance with your application for this job opening, please call the HR Source at (888) 495-4772 or email HRSource@WoltersKluwer.com. TTY is also available at (888) 495-4771