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The UI/UX Developer will develop and implement new UI components and applications for the Database of Human Genotypes and Phenotypes (dbGaP) project, integrating user-facing applications with existing backend systems. Responsibilities include collaborating with the design team, applying USWDS styling, and documenting user workflows, all while working in an Agile Scrum framework.

As a Technical Lead Program Principal Engineer, you will lead software development teams ensuring architectural cohesion, oversee all software development phases, collaborate with scientists and other teams, implement bioinformatics algorithms, and ensure high code quality and timely delivery of software solutions.

The Senior Software Developer will develop and maintain bioinformatics software and information retrieval systems, collaborating with scientists and other developers to create algorithms and improve internal systems. The role requires handling large datasets and proficiency in C++.

The Senior Software Developer will develop and maintain software for NCBI’s Controlled Data Access technologies, focusing on systems like the Authorized Access platform and Study Registration System. Responsibilities include coding, mentoring team members, and facilitating Agile development practices, while staying updated on new technologies.

As a QA Platform Engineer, you will work with the NCBI to develop and improve DevSecOps, DataOps, and observability platforms. Responsibilities include maintaining compliance pipelines, automating testing with tools like Selenium and Cypress, and continually gathering metrics for application quality. You'll collaborate with developers on adopting best practices and ensuring regulatory compliance.

The Technical Information Specialist assists users with account management systems at NCBI, provides e-mail support for account issues, reports user problems, participates in design discussions for new services, and develops educational content for users about these systems.

The Full Stack Developer will build user-facing web applications and facilitate scientific data visualization using Python/Django and ReactJS, while collaborating with an agile team to enhance user experience and ensure code quality.