Search the 5 jobs at Clario

The Senior Full Stack Developer at Clario will provide software design, development, and application support for the Trial Application Platform (TAP). Responsibilities include feature development, code testing, UI/UX advocacy, code reviews, system documentation, collaboration with cross-functional teams, and continuous product quality improvement. Required skills include deep knowledge of Ruby, Javascript, Rails, React, writing meaningful tests for Ruby and Javascript code, communication skills, and project structuring experience.

The Senior Statistical Programmer at Clario will be responsible for creating and maintaining SAS codes for statistical analysis of cardiac safety studies, creating electronic submission packages, and mentoring new employees. They must have a BS in Computer Sciences, Engineering, Statistics, or Mathematics, along with a minimum of 5 years' experience in SAS products and procedures in the pharmaceutical or life sciences setting. Strong organizational, analytical, and communication skills are required.

The Team Lead, R&D Software Engineering manages the successful delivery of projects and coordinates activities across the full delivery lifecycle. Responsibilities include providing direction, coordination, and hands-on work in software development, overseeing project planning, quality assurance, and deployment of databases.

Join Clario's enterprise, centralized Data & Analytics team as a Lead Software Engineer to create and enhance data analytic products for our Life Science industry customers. Responsibilities include software design, development, support, technical expertise to senior leadership, training and supervision of junior staff, troubleshooting, code development, planning, quality assurance, and mentorship. Skills required include Full Stack Engineering, Project Management, Data Analytics, Source Code Management, Agile Development, and more.

Develop backend integration and queries to support Power BI metrics development and KPI reporting. Design, develop, and implement solutions for R&D metrics and data visualization. Optimize SQL queries, ensure data quality, and collaborate with stakeholders for effective solutions.