Elicit and manage business and functional requirements, translate them into user stories and acceptance criteria, and maintain traceability from business needs through test coverage. Lead QA strategy and test execution across releases, manage defects and quality metrics, expand test automation, and collaborate with stakeholders and delivery teams in Agile/Scrum.
The Research Project Manager will coordinate multidisciplinary study teams to ensure project milestones, contractual requirements, and quality standards are met. They are responsible for maintaining project schedules, managing risk registers, and facilitating communication between internal teams and external subcontractors.
The Data Scientist will design and deliver machine learning, NLP, and generative AI solutions for complex healthcare and federal environments. They will also manage the full lifecycle of data science projects, from data preparation and model development to production monitoring and validation.
Design and build machine learning, NLP, and generative AI solutions to transform complex data into actionable outputs. Establish rigorous data quality, model evaluation, and governance frameworks while collaborating with domain experts to deliver defensible technical solutions.
The Federal Account Manager will own and grow relationships across HHS and DOW agencies to expand the company's footprint in data science and analytics. Responsibilities include managing the full capture lifecycle, developing strategic capture plans, and identifying new business opportunities.
The Senior Product Manager will own the product roadmap and priorities for a document intelligence platform, translating business needs into technical requirements. They will lead discovery sessions with clients and collaborate with data science and engineering teams to define measurable performance metrics.
The Principal Architect will design and build a shared AWS-native data and AI platform to support document intelligence, search, and analytics across multiple projects. They will provide technical leadership, establish engineering standards, and define the architecture for MLOps and data pipelines.
The Medical Device Workflow & Validation Lead will translate reviewer needs into clear product requirements and validate features from a domain perspective. They will lead client demonstrations, manage user acceptance testing, and ensure workflows provide value without creating unnecessary reviewer burden.
