The Waters Informatics department is looking for an energetic and creative computational scientist that will specialize in creating scientific mechanistic and machine learning models. This role will exist at the interface of research and development, with the individual developing, experimenting and validating mechanistic and machine learning models in the Global Research department, and also supporting the integration of these models in AWS cloud products for release as part of the Informatics department. The individual will bring to bear concepts in mathematics, chemistry and physics, as well as machine learning approaches, to contribute to the next generation of innovations in intelligent instrumentation.
The Waters Global Research team performs early, cutting-edge research on novel chromatography and mass spectrometry systems that have a direct impact on laboratory testing, drug discovery and development and food safety. We are committed to understanding customer needs and pivoting these insights into new and exciting technologies to address those needs. The role of this computational scientist will be to develop data processing algorithms and models, assist with the development of data pipelines for specialty instrument data, and experiment with new data and algorithmic features to maximize the efficiency and efficacy of the results from our analytical instrumentation.
Responsibilities Explore various scientific, statistical and machine learning approaches, explore data features, generate metrics, and evaluate results associated with collection and analysis of chromatographic and mass spectrometric dataAssist subject matter experts (SMEs) in model evaluation and stakeholder presentationsUse object-oriented programming and functional programming best practices to maintain codebases in python and C#, and write unit testsContribute to the preparation of technical reports, patent applications, and transferable protocolsContribute to the construction and maintenance of the AWS data pipelineMaintain up-to-date knowledge of relevant scientific literature Qualifications 5 or more years of practical experience in mechanistic modeling and machine learningS. or PhD in computer science, data science, or scientific field with a computational focusExperience in model development using Python for machine learning, statistical, and mechanistic modelsRobust object-oriented and/or functional programming skills in languages including C#, and Python. C++ desirable.Comfortable with Git version control, and either BASH or command promptAble to communicate results using meaningful metrics and visualizations to managers and stakeholders and receive feedback.Proficiency with AWS Lambda, S3, EC2, or Redshift desirable Company DescriptionWaters Corporation (NYSE: WAT), the world's leading specialty measurement company, has pioneered chromatography, mass spectrometry and thermal analysis innovations serving the life, materials, and food sciences for over 60 years. With approximately 8,000 employees worldwide, Waters operates directly in 35 countries, including 15 manufacturing facilities, with products available in more than 100 countries. Our team focuses on creating business advantages for laboratory-dependent organizations to enable significant advancement in healthcare delivery, environmental management, food safety, and water quality.
Working at Waters enables our employees to unlock the potential of their careers. Our global team is driven by purpose. We strive to be better, learn and improve every day in everything we do. We’re the problem solvers and innovators that aren’t afraid to take risks to transform the world of human health and well-being. We’re all in it together delivering benefit as one to provide the insights needed today in order to solve the challenges of tomorrow.
Diversity and inclusion are fundamental to our core values at Waters Corporation. It is our responsibility to actively implement programs and practices to drive inclusive behavior and increase diversity across the organization. We are united by diversity and thrive on it for the benefit of our employees, our products, our customers and our community. Waters is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or protected Veteran status.
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