Vividion Therapeutics. Inc.

• Design, build, and deploy end-to-end AI/ML and agent-based systems, from problem definition and model development to production deployment, monitoring, and continuous improvement to solve business problems, and automate enterprise and scientific tasks. • Focus on simulating human learning activities, improving system performance through data analysis, and developing deep learning frameworks and systems. • Collaborate with scientists to build robust data pipelines and ensure high-quality training data. • Design scalable, reliable services on major cloud platforms; strong CI/CD, observability, and operational excellence. • Translate customer requirements to business solutions using data pipelines and statical models. • Build & maintain scalable ML infrastructure, including training pipelines, feature stores, and model serving systems. • Contribute to MLOps best practices, including CI/CD for ML, model versioning, and A/B testing frameworks. • Create exploratory analysis, model design & training, validation, feature engineering, production handoff to drive business optimization. • Responsible for constructing, studying, and training algorithms that learn from complex, high-dimensional data to uncover patterns and develop practical predictive models and applications. • Document architectures, experiments, and results clearly for technical and non-technical stakeholders to support current work and any retraining for the future. • Data, model, and agent pipeline engineering (e.g., workflow orchestration, model lifecycle management, automated retraining/rollouts). • Orchestration and integration across components (agent frameworks, containers, web services/APIs, distributed systems). • Develop and integrate intuitive Copilot experiences into existing tools to provide real-time, AI-driven assistance and insights to team members.

• Provide support to clinical trials or other scientific research studies. • Assist with development of statistical analysis plans, Mock TFL shells (or product safety analysis plans/integrated summary of safety analysis plans/analysis plans for GMA evidence generation) with details for programming implementation. • Under supervision, help to oversee and QC CRO’s work. • Collaborate with Statistical Programming and work on QCing of internal programming outputs to ensure the delivery of high-quality outputs according to agreed-upon timelines. • Assist in identifying scientifically appropriate data collection instruments. • Identify and report data issues or violations of study assumptions. • Provide programming specifications for derived variables and analysis datasets. • Collaborate with Data Management in preparing for database lock. • With supervision perform statistical analyses as per the analysis plan. • Ensure accuracy and internal consistency of reports and publications, including tables, listings, and figures. • Ensure the accuracy of the statistical component of scientific reports and/or publications with high quality. • Work collaboratively with cross-functional teams, such as DM, medical team, PK/PD teams.