Role Description VHA supports and provides medical care for VA’s eligible beneficiaries through the VA health program, which includes VA Medical Centers (VAMCs) and contracted health care networks. The Office of Clinical Informatics within the Office of Health Informatics (OHI), Digital Health Office (DHO) advances the enterprise standard of care and patient experience using improved data, tools, and informatics processes organized around continuously delivering value to its customers. This is achieved through Lean-Agile delivery of clinical practice solutions that support best practice standards for clinical care. OHI is further responsible for ensuring the success of the modernized VA EHR, Oracle Health Millennium/Cerner through continuous exploration, integration, deployment and release on demand of Integrated Health Technology (IHT) solutions. These efforts aim to increase Veterans' access to care and support their active participation in their healthcare. Gritter Francona is looking for a Lead Human Factors Engineer to help support a potential project to assist this objective. Key Responsibilities - Strategy & Leadership - Serve as the HFE lead for the contract, owning the HFE strategy, roadmap, and quality bar for deliverables; establish HFE governance, definitions of ready/done, templates, and review gates. - Translate state‑of‑the‑art research and industry trends in human factors, cognitive/organizational psychology, and clinical informatics into scalable methods and guidance for teams. - Champion Lean‑Agile principles within a SAFe® environment, shaping ART ceremonies (PI Planning, System Demo, Inspect & Adapt) to drive value delivery and continuous improvement. - Research & Evaluation - Plan and execute mixed‑methods research (contextual inquiry, cognitive task analysis, diary studies, think‑aloud protocols, surveys, card sorting, tree testing, formative/summative usability) tailored to risk and regulatory context. - Design and conduct workflow analyses across clinical informatics domains (e.g., order entry, medication administration, care coordination, documentation, decision support) to identify latent conditions, handoff risks, and transient failure modes that evade unit testing. - Apply advanced risk and resilience methods (e.g., FMEA/FMECA, STPA, bow‑tie analysis, FRAM, HFACS) to anticipate and mitigate human‑system hazards. - Design & Systems Impact - Visualize and articulate system‑wide impacts of design changes on all user groups (end users, supervisors, support staff, patients, administrators). - Recommend redesigns or operational mitigations to minimize negative outcomes when changes are constrained or products/processes are essential. - Collaborate with product, engineering, clinical SMEs, and data teams to prototype designs (low‑ to high‑fidelity) and evaluate effects on safety, workflow, workload, and adoption. - Live Interaction & Enablement - Provide thoughtful, actionable suggestions during live demo calls; adapt in real time to participant feedback in user sessions of any type (moderated, unmoderated, remote, in‑person). - Mentor cross‑functional teams in HFE practices; deliver trainings and brown‑bag sessions to empower high‑performing Agile teams. - Measurement, Quality & Compliance - Define and track HFE KPIs (e.g., task success, time‑on‑task, error rates, cognitive load, adoption, defect escape rate, alert fatigue indices). - Produce clear, standards‑aligned HFE documentation (protocols, moderation guides, test plans, risk analyses, traceability matrices, usability engineering files, summative reports). - Ensure alignment with applicable standards and guidance. Qualifications - Masters' degree - 10+ years of experience in human factors engineering, with a strong record leading research, evaluations, and design for complex, safety‑critical or high‑reliability systems. - Experience applying SAFe® Lean‑Agile principles and practices to drive value, sustain organizational change, and enable high‑performing Agile teams. Benefits - Health Care Plan (Medical, Dental & Vision) - Retirement Plan (401k, IRA) - Life Insurance (Basic, Voluntary & AD&D) - Paid Time Off (Vacation, Sick & Public Holidays) - Short Term & Long Term Disability - Training & Development

• Architect and validate rigorous Continual Pre-Training (CPT) frameworks, focusing on domain adaptation techniques that effectively transfer Reddit’s knowledge into licensed frontier models. • Design the "Science of Multimodality": Lead research into fusing vision and language encoders to process Reddit’s rich media (images, video) alongside conversational text threads. • Formulate data curriculum strategies: scientifically determining the optimal ratio of "Reddit data" vs. "General data" to maximize community understanding while maintaining safety and reasoning capabilities. • Conduct deep-dive research into Scaling Laws for Graph-based data: investigating how Reddit’s tree-structured conversations impact model convergence compared to flat text. • Design and scale continuous evaluation pipelines (the "Reddit Gym") that monitor model reasoning and safety capabilities in real-time, enabling dynamic adjustments to training recipes. • Drive high-stakes architectural decisions regarding compute allocation, distributed training strategies (3D parallelism), and checkpointing mechanisms on AWS Trainium/Nova clusters. • Serve as a force multiplier for the engineering team by setting coding standards, conducting high-level design reviews, and mentoring senior engineers on distributed systems and ML fundamentals.

• Design and maintain automated tests and testing frameworks for functional, performance, security, and reliability use cases, including load, stress, and scalability testing • Set up and operate production-like, scalable test environments for complex SaaS systems, with a focus on benchmarking and performance evaluation • Investigate and debug system-level issues, including performance bottlenecks and distributed failures, using metrics such as latency, throughput, resource utilization, and tail latency • Collaborate with university teams to launch and support research labs focused on infrastructure and cloud software • Research and evaluate emerging testing technologies, including AI-driven test automation tools

• Lead and support the development of mathematical optimization models for energy networks, including formulation, implementation, solution, analysis, and communication. • Partner with other LLNL scientists and engineers to bring research results to practical use in LLNL Global Security programs. • Work closely with other CIR program area leads in developing the CIR program research roadmap. • Develop internal and external collaborations and provide input for securing funding sources to meet program goals and objectives. • Co-author refereed scientific papers and reports and deliver presentations for audiences internal and external to LLNL. • Mentor junior staff members. • Balance multiple projects/tasks and priorities of customers and partners to ensure deadlines are met. • Lead various highly complex projects, effectively leveraging the skills of team members. • Serve as a mentor for other staff and assist in recruiting efforts. • Serve as a primary technical point of contact with sponsors and partners and participate in development of new program business.