Scientific Computing/Advanced Imaging Lead

The contractor shall evaluate, develop, and integrate emerging scientific and computational technologies to advance translational research capabilities. Work under this task area is to support the identification, evaluation, and integration of innovative technologies and methodologies into research activities. This includes fostering collaborations with internal and external partners, providing technical and operational support for new technologies, and ensuring we remain at the forefront 

of scientific research. 

Create a dynamic environment where emerging technologies can be rapidly developed, tested, and implemented to enhance research capabilities and accelerate 

translational science, to pre-production activities – feasibility assessment, proof-of-concept development, prototyping, and transition to operations, and then executed through Agile sprint cycles aligned to stage-gate requirements. 

-Provide technical assessments, prototypes, proof-of-concept outputs, disposition 

recommendations, pipeline build artifacts, and technical documentation. 

-Assess technical architecture fit, interoperability, security, scalability, and long-term 

sustainability against environments. 

-Conduct pilot implementations or proof-of-concept testing to evaluate real-world performance and applicability. 

-Document evaluation methodology, results, cost-benefit analysis, and a go/no-go 

recommendation with supporting rationale. 

-Develop functional prototype artifacts through Government-approved Agile sprint cycles.

-Produce technical documentation including design specifications, data flow diagrams, and configuration details. 

-Conduct testing and generate performance benchmarks against Government-defined acceptance criteria. 

-Deliver a disposition recommendation (scale to production / modify / discontinue) with 

supporting evidence. 

-Design and implement image acquisition, processing, and analysis pipelines for high-throughput data generation. 

-Integrate imaging data with computational models, machine learning tools, and analytics 

platforms. 

-Develop and optimize data ingestion, storage, and visualization workflows in conformance with FAIR data principles. 

-Document all pipelines to a level sufficient for independent operation and transition to production support. 

-Perform system configuration, deployment, validation, and security compliance verification in accordance with data governance and privacy standards. 

-Develop transition artifacts including SOPs, configuration baselines, system architecture 

diagrams, and operational runbooks. 

-Conduct structured knowledge transfer to the production support team designated by the 

Government. 

-Obtain COR written acceptance prior to closeout of each integration effort. 

-Maintain and update Government-owned sprint backlogs using designated Agile tooling. 

-Conduct sprint planning, review, and retrospective ceremonies with Government participation. 

-Maintaining a product backlog prioritized by the government product owner. 

-Conducting all Agile ceremonies: Sprint Planning, Daily Standups, Sprint Reviews, and 

Sprint Retrospectives. 

-Delivering functional, demonstrable increments at the end of each two-week Sprint. 

-Providing Sprint Burndown, Velocity, and Team Capacity reporting. 

-Ensuring traceability between user stories, acceptance criteria, design decisions, test results, and delivered artifacts.