Principal Statistical Programmer | Waltham, MA

more dynamic world. Wolters Kluwer combines deep domain knowledge with specialized technology. Our portfolio offers software tools coupled with content and services that customers need to make decisions with confidence. Every day, our customers make critical decisions to help save lives, improve how we do business, and build better judicial and regulatory systems.

We help them get it right. Under the Wolters Kluwer Health umbrella, Clinical Effectiveness (" CE" ) is a leader providing evidence-based solutions that create clinical decision-making and outcome across healthcare. The solutions CE offers include Up To Date, Lexicomp, Medi-Span and Emmi. The Information Retrieval

and Analytics team provides the search capabilities for several applications that are part of CE. You will be a member of a very active and creative team responsible for designing, implementing, monitoring and maintaining next-generation search capabilities including a rich and predictive search experience to broad spectrum of use cases.

You will report to the Director, Technology Product Management Responsibilities Develop predictive models using supervised and unsupervised machine learning/deep learning, Build models for health products using natural language understanding, conversational AI, generative AI, large language models, forecasting, and anomaly detection Develop Gen AI applications,

applying open-source or proprietary large language models (LLMs) and following responsible AI principles Deploy reproducible models that help customers across health segments Develop proofs of concept to demonstrate the applicability of AI/ML for solving customer problems in collaboration with product and other development teams Integrate ML solutions into the product, making them production ready, scalable and performant Collaborate with product managers, clinicians, data scientists, and software engineers Who can align the technology solution with a business goal Qualifications Graduate degree (MS or Ph D) in Computer Science or relevant field with a focus on NLP or Machine Learning7+ years of industry software development experience5+ years of industry experience in supporting the development of production-ready solutions applying AI technologies: NLP, Deep Learning, Machine Learning Hands-on expertise in Python and open-source libraries/frameworks/tools such as pandas, spa Cy, anaconda, etc.

Experience with deep learning frameworks such as Tensor Flow, Keras, Py Torch, or Transformerinteractioncellent knowledge of Gen AI methodology for NLP such as retrieval augmented generation and frameworks such as langchain Experience applying deep learning to NLPExperience with designing, building data and model training pipelineinteractionperience with cloud-based platforms for solution delivery, such as Azure, Google cloud technologies Domain knowledge with medical text is a big plus Familiarity with web search engine development is a big pluinteractionperience working with agile and Software Development Lifecycle tools (e.

g. JIRA, Confluence, Git)Demonstrate collaborative skills within function and across peer partners Benefits: A comprehensive benefits package that begins your first day of employment. Additional Information: Wolters Kluwer offers great benefits and programs to help meet your needs and balance your work and personal life, including Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave.

Full details of our benefits are available - /index. html Diversity Matters Wolters Kluwer strives for an inclusive company culture in which we attract, develop, and retain diverse talent to achieve our strategy. As a global company, having a diverse workforce is of the utmost importance. We've been recognized by employees as a European Diversity Leader in the Financial Times, as one of Forbes America's Best Employers for Diversity in 2022, 2021 and 2020 and as one of Forbes America's Best Employers for Women in 2021, 2020, 2019 and 2018.

In 2020, we placed third in the Female Board Index, and were recognized by the European Women on Boards Gender Diversity Index. Wolters Kluwer and all of our subsidiaries, divisions and customer/departments is an Equal Opportunity / Affirmative Action employer. #LI-remote PDN-9be8-a946-a9d631a412c0

in an ever more dynamic world. Wolters Kluwer combines deep domain knowledge with specialized technology. Our portfolio offers software tools coupled with content and services that customers need to make decisions with confidence. Every day, our customers make critical decisions to help save lives, improve how we do business, and build better judicial and regulatory systems.

We help them get it right. Under the Wolters Kluwer Health umbrella, Clinical Effectiveness (" CE" ) is a leader providing evidence-based solutions that drive clinical decision-making and outcome across healthcare. The solutions CE offers include Up To Date, Lexicomp, Medi-Span and Emmi. The Information

Retrieval and Analytics team provides the search capabilities for several applications that are part of CE. You will be a member of a very active and creative team responsible for designing, implementing, monitoring and maintaining next generation search capabilities including a rich and predictive search experience to broad spectrum of use cases.

Responsibilities Develop predictive models using supervised and unsupervised machine learning/deep learning, Build models for health products using natural language understanding, conversational AI, generative AI, large language models, forecasting, and anomaly detection Develop Gen AI applications, leveraging open-source or proprietary large

language models (LLMs) and following responsible AI principles Deploy robust and reproducible models that impact customers across health segments Innovate and develop proofs of concept to demonstrate the applicability of AI/ML for solving customer problems in collaboration with product and other development teams Integrate ML solutions into the product, making them production ready, scalable and performant Collaborate effectively with product managers, clinicians, data scientists, and software engineers A self-starter who can align the technology solution with a business goal Qualifications Graduate degree (MS or Ph D) in Computer Science or relevant field with a focus on NLP or Machine Learning 5+ years of industry software development experience 2+ years of industry experience in supporting the development of production-ready solutions leveraging AI technologies: NLP, Deep Learning, Machine Learning Strong hands-on expertise in Python and open-source libraries/frameworks/tools such as pandas, spa Cy, anaconda, etc.

Experience with deep learning frameworks such as Tensor Flow, Keras, Py Torch, Transformers Excellent knowledge of Gen AI methodology for NLP such as retrieval augmented generation and frameworks such as langchain Knowledge of visual question and answering is a plus Experience in applying deep learning to NLP Experience with designing, building, and optimizing data and model training pipelines Experience with cloud-based platforms for solution delivery, such as Azure, Google cloud technologies Domain knowledge with medical text is big plus Familiarity with web search engine development is a big plus Experience working with agile and Software Development Lifecycle tools (e.

g. JIRA, Confluence, Git) Demonstrate strong collaborative skills within function and across peer stakeholders Compensation: Target salary range CA, CT, CO, HI, NY, WA: $108,700-$152,050PDN-9b064381-8b71-49c1-871f-5f422c54d460

Computer/Software jobs encompass a range of positions focused on designing, developing, testing, and maintaining software systems and applications. These roles demand a blend of technical skills including programming, problem-solving, and an understanding of algorithms and data structures. Key characteristics of such jobs include continuous learning to keep up with emerging technologies, collaboration with teams of engineers, and a penchant for innovative thinking to create effective and user-friendly solutions. These jobs often require a degree in computer science or a related field and can range from software development to systems analysis and network engineering.

will develop in close partnership with product management, software engineers and quality engineers, automated test frameworks and suites that fulfill the testing requirements within a software development lifecycle (SDLC). You will partner with others to adopt techniques to improve product quality early and help quality engineers use knowledge of technology to improve the practice of product verification.

Responsibilities: Experience in developing in at least one modern programming language (C#/PHP/Python/Javascript) Experience in troubleshooting, root cause analysis, debugging Experience in designing and writing comprehensive scalable test cases and procedures for functional, performance

and integration testing Adeptness working within a Scrum/Agile methodology Be a strong quality advocate, collaborating closely with software engineers, designers, product managers Inherent willingness to be a total team player, i.

e. do what it takes for the team to succeed and achieve Perform end-to-end testing initiatives throughout the entire SDLC from test planning, test design, test execution, and test reporting. This includes performance testing, stress testing, unit testing, UI testing, API testing, automation testing, includes functional, regression, UAT, black box, white box, etc. Contribute to test strategy, conduct requirements analysis for testability, identify scope, conduct

risk and mitigation planning, configuration management planning, write master and detailed test plans for test planning and design.

Improve automation testing frameworks and tools for API and web-based applications. Drive standardization and adoption of test automation technologies that will scale with growth. Familiar with Continuous Integration, Continuous Delivery and Continuous Deployment environments and pipelines. Excellent communication skills and the ability to collaborate with other technical teams, analysts and deliver processes and tools to support the organization Appreciation of the customer perspective, i. e. an end user view Upgrade existing practices and processes as needed Skills & Qualifications: 3+ years’ experience in enterprise software development Good analytical abilities and proven design skills Experience in scripting languages (e.

g. Python, Java Script, C#, PHP) Familiarity with reading software code, it’s flows, data structures, end points Familiar with distributed architectures, web service APIs (e. g. HTTP, REST) Experience in a high paced agile/Dev Ops development environment. 1+ years’ experience with CI/CD pipelines 1+ years’ experience with docker or kubernetes Experience with cloud technologies such as Azure or AWS Experience developing in a Windows, Linux, environment and in utilizing virtual machines Experience with browser technologies, i.

e. Edge, Chrome Practical knowledge and experience with relational database (e. g. SQL) development 2+ years’ experience maintaining a UI automation suite , e. g. Selenium, Appium Familiarity in software testing throughout the SDLC, regression, functional, unit, component, contract, integration, black-box, white box, UAT, usability, stress testing, performance testing, etc. Knowledge of software test engineering best practices across the life cycle, including coding standards, code reviews, source code management, build processes, test case management Capable of working in a dynamic and startup environment Experience working with non-technical team members, with project management, planning Preferred: Experience with Atlassian tools, e.

g. Confluence, Jira, Bit Bucket Experience with Tricentis tools, e. g. q Test Experience with Low code/No Code tools, e. g. mabl Experience with Linux, Kubernetes. Experience with performance and scalability testing Experience in regulated industries, e. g. FDA class II medical device, Healthcare IT Education: M.

S. /B. S. in Engineering, Information Systems or Computer Science and 4+ years of applicable experience or equivalent work experience Working Conditions: Travel may be required occasionally Additional Notes The above statements are intended to describe the general nature and level of work being performed by personnel assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.

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