Search the 31 jobs at NIH-NCBI

The Senior Software Developer will enhance the Sequence Read Archive bioinformatics pipelines by designing, implementing, and maintaining software. Responsibilities include operational support, developing tests and releases, and improving reliability.

The Data Wrangler will evaluate and improve high throughput data and metadata quality for bioinformatic use cases, engage with scientists for stakeholder outreach, prepare documentation, and assist in the development of data formats and pipelines.

The Product Manager will guide the success of IT/Product Modernization for a federal agency's data sequencing initiative. Responsibilities include defining product vision, gathering market insights, leading project teams, and ensuring compliance with deliverables, along with stakeholder engagement and defining KPIs.

The Change Management Specialist will lead change management strategies for IT/Product modernization for a government agency. Responsibilities include creating strategies, designing organizational structures, ensuring operational continuity, and developing training and communication plans.

As a User Experience Researcher, you will lead user research efforts, conduct interviews and usability testing, and analyze data to inform design decisions for government clients. You'll also create user personas, develop outreach strategies, and document requirements to enhance user experiences in a data sequencing initiative.

The Architect/Technical Manager will support IT/Product Modernization for a large public data repository by driving solutions and ensuring alignment with business goals. Responsibilities include evaluating technologies, conducting gap analyses, technical feasibility assessments, and collaborating with team leads for implementation strategies.

The Full Stack Developer will build user-facing web applications and services, focusing on Python and Django to support millions of daily users. Responsibilities include developing applications, creating new functionality, working in an agile team, and ensuring code quality with modern development practices.

The Bioinformatics Data Scientist/Analyst will collect, process, and analyze biological datasets for public virus resources, develop methods for viral sequence classification, improve data quality, and collaborate with diverse scientists at NIH. The role requires experience in viral genomics, bioinformatics, and data analysis.

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 Principal Program Manager will oversee the technical vision and architecture for SRA, ensuring on-time delivery of software components, managing multiple teams, and modernizing SRA platforms, including implementing cloud solutions and DevOps practices.

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 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.

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.

The DataOps Engineer will support the development and continuous improvement of the DataOps platform, maintain common tools and libraries, ensure compliance with application security regulations, and assist developers in adopting the platform while embracing agile development practices.

As a Computer Scientist at BCC, you will design and develop software applications for creating 3D immersive environments and virtual reality applications to enhance healthcare experiences. Responsibilities include collaborating on software management and development, maintaining existing environments, data extraction, and troubleshooting VR/AR technologies.

The Desktop Administrator will support staff experiencing desktop system and application issues, assist with hardware and software management, and ensure security compliance. The role includes imaging new machines, patch management, and providing customer support for Windows and Mac OS environments.

The Project Manager/Agile Scrum Master at Black Canyon Consulting will coordinate the full software development lifecycle for technical projects focused on scientific and genomic data. Responsibilities include tracking milestones, managing resources, and advising senior management on technical issues while ensuring project deliverables are met using Agile methodologies.

The Platform DevEx Engineer supports NCBI by maintaining and developing tools and systems for software deployment across various programming languages. Responsibilities include configuring CI pipelines, debugging deployments on Kubernetes, creating documentation, and leading projects to enhance the DevEx platform.

The Senior Software Developer in Bioinformatics and Big Data will be responsible for developing, implementing, testing, and maintaining bioinformatics software and information retrieval systems. This role involves collaboration with scientists and bioinformaticians to implement efficient algorithms, along with continuous learning and knowledge sharing within the team.