Role Description We are looking for a Board Certified Psychiatrist, who is licensed in the state of Washington, for a part-time role with our growing clinical team. You will help to supervise a team of Psychiatric-Mental Health Nurse Practitioners (PMHNPs) delivering both asynchronous and synchronous care via telemedicine to a population of adult patients stable on medication and primarily looking to manage their anti-depressant and anti-anxiety medication. This is an incredibly flexible job - you decide your hours and shift times. The ideal candidate is adaptive to change and proactive in providing feedback to the management team on areas for improvement. We are looking for people excited to grow with us! Responsibilities - Supervise our Nurse Practitioners who treat our clients for anxiety and depression per state regulations and requirements - Conduct chart reviews for multiple NP’s - Be available, and flexible, to the Nurse Practitioner’s to answer questions, provide clinical clarifications, and escalate any issues to medical leadership Qualifications - Active & good standing medical license in Washington (more licenses is a plus) - Board certification in Psychiatry - Medical Doctorate from an accredited medical school - Have previous experience supervising Nurse Practitioners in clinical settings - 5+ years of direct care experience, exclusive of orientation/training - Comfortable using computers and video-conferencing software; previous telemedicine experience is a plus - Dedicated to providing the best patient care possible - Excellent written and verbal communication Schedule - Choose your own hours - Day shift - Evening shift - Monday to Friday - Weekends as needed Compensation - $600 per supervised Nurse Practitioner (typically 2 hour commitment per NP per month) - Typically 2-4 NP's to be supervised Benefits - Part-time (less than 10 hrs/month) - Competitive Salary - An operations and technology team dedicated to improving the provider experience - Malpractice coverage - Online software and technology support - Flexible schedule

Role Description Support the design, development, and deployment of automation solutions for healthcare operations. Build Python-based services and workflow automations that improve clinical, operational, and financial processes, including integration with enterprise and EHR/EMR systems. Apply technical expertise in automation development, healthcare IT/interoperability, and agile delivery to provide scalable, secure, and reliable digital workflows under the guidance of the Automation Architect. Responsibilities - Collaborate with the Automation Architect and cross-functional stakeholders (clinical operations, finance, IT, analytics) to perform discovery, translate requirements into technical workflows, and prioritize high-ROI automations. - Design, develop, and maintain Python scripts, services, and tools that automate clinical and operational workflows (revenue cycle, scheduling, reporting, user provisioning), including robust exception handling, logging, and retries. - Develop and implement automation solutions using Automation Anywhere when appropriate and custom-built platforms (e.g., Django/YDA, Playwright), applying workflow orchestration, queues, schedulers, and asynchronous processing. - Build and maintain scalable automation frameworks leveraging best-of-breed tools and patterns (e.g., Django Admin, Playwright, CouchDB, REST APIs), ensuring maintainability, testability, and reuse. - Develop and support EHR/EMR integrations and interoperability workflows (e.g., Epic), including API-based integrations and HL7 v2 / FHIR interfaces; manage message ingest, mapping, validation, and routing. - Build and support ETL/data pipelines between clinical systems, data platforms/warehouses, and downstream applications; ensure data quality, lineage, and reliable downstream consumption. - Monitor automation executions and data pipelines; implement health checks, alerting, and observability; troubleshoot, debug, and optimize for performance, reliability, and scalability. - Ensure compliance with HIPAA and organizational security policies, including access controls and secure data handling; support audits and regulatory reviews by providing logs, documentation, and evidence of controls. - Provide support to internal users, including training on new automated workflows and assisting with adoption and change management. Participate in proof-of-concept initiatives and pilot programs to validate automation strategies; measure outcomes (time saved, error reduction, operational impact) and iterate. - Create and maintain technical documentation (technical specs, flow diagrams, runbooks, SOPs) and contribute to operational procedures and support readiness. Seek mentorship and guidance from the Automation Architect and senior engineers; continuously improve engineering practices. Qualifications - Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Health Informatics, Data Science/Statistics, or related field - or significant automation development experience in a healthcare production environment in lieu of a specific degree. - Minimum of three (3) years hands-on experience in software engineering, workflow automation, or digital transformation, ideally in healthcare or another regulated industry. - Demonstrated success delivering production automations end-to-end (design, build, deploy, monitor, and optimize), including Python-based services/scripts and/or RPA-style workflows with strong exception handling, logging, retries, and operational support. - Experience integrating with enterprise systems and EHR/EMR workflows (e.g., Epic) using vendor APIs and/or healthcare interoperability standards (HL7 v2, FHIR), and building ETL/data pipelines between operational systems and downstream data platforms. - Strong collaboration skills with cross-functional teams and the ability to lead or contribute to proof-of-concept efforts while ensuring solutions meet privacy and security standards (e.g., HIPAA). - Exceptional candidates with significant, relevant internship experience may also be considered. Requirements - Certifications preferred at the time of application: Lean Six Sigma White Belt, Certified Scrum Developer (CSD). - Certification required by the 6-month review: PCPP1, Certified Professional Python Programmer Level 1. - Additional certifications are preferred but not required, including Automation Anywhere, UiPath, or Blue Prism; cloud certifications (AWS/Azure/GCP); and healthcare IT/interoperability training or credentials (HL7, FHIR, HIPAA/privacy). Special Skills - Ability to develop and implement automation solutions across the software development lifecycle in regulated, large-scale environments. - Strong Python and SQL skills; familiarity with RESTful APIs, microservices, and event-driven architecture; and experience with workflow orchestration (queues, schedulers, asynchronous jobs, retries, and observability). - Working knowledge of healthcare data and interoperability concepts (HL7 v2, FHIR) and experience integrating automations with EHR systems (Epic) is highly desirable. - Proficiency with CI/CD, Git-based development, testing practices, and containerization technologies (Docker; Kubernetes preferred) is a plus. - Ability to create clear technical documentation (specs, runbooks, diagrams), support troubleshooting/root-cause analysis, and communicate effectively with non-technical stakeholders. Physical Demand - On-call: Participates in a scheduled on-call rotation for production automations and integrations. Includes nights/weekends/holidays as scheduled; responds according to department SLOs and incident severity. - Go-live support: Provides hyper care during planned cutovers and release windows, which may require after-hours and extended shifts, occasional onsite presence, and coordination of command-center/war-room activities, back-out readiness, and post-go-live stabilization. YNHHS Requisition ID 179546

• Lead the strategy for adopting generative AI and LLMs across the software development lifecycle; • Work alongside squads to accelerate productivity, improve efficiency, and reduce cycle time; • Assess teams' maturity and drive technical and cultural evolution plans; • Promote change management initiatives and share AI best practices; • Create content, playbooks, and internal communities on using AI in development; • Evaluate and integrate AI tools into the development pipeline (code review, testing, documentation, and code generation); • Work with developers and tech leads to configure environments, prompts, and AI-assisted workflows; • Ensure governance, security, and best practices in the use of LLMs.

• Define and implement a global clinical monitoring strategy fully leveraging agentic platform solutions, aligned with 1:1:1 goals and regulatory requirements • Build a global team of highly skilled CRA’s and lead the transition from traditional monitoring to agentic powered monitoring models, including the redefinition of roles, responsibilities, operating framework and accountabilities • Champion the integration of AI-driven tools and digital agents to modernize monitoring workflows • Establish a long-term roadmap for scalable, agentic clinical monitoring operations delivering maximised ROI and scale • Build and deploy an agent powered monitoring workforce to optimise monitoring outcomes and service delivery • Ensure ethical, GxP compliant, and trustworthy use of AI in clinical operations publishing evidence and key success criteria as well as iterative embedding of learnings and best practices • Optimize monitoring resource allocation using data-driven approaches to deliver target margins, revenue and SLA’s • Realise enhanced CRA (Clinical Research Associate) productivity through optimised automation and agentic workforce augmentation • Standardize processes globally while allowing flexibility for regional regulatory differences • Develop KPIs and dashboards to track efficiency, quality, and cycle times • Ensure all monitoring activities comply with GCP, GxP, global regulatory guidelines, developing and adapting operating SOPs and a quality framework • Implement AI-powered quality surveillance to proactively identify and mitigate risks • Maintain audit readiness and support regulatory inspections • Drive continuous improvement initiatives based on quality metrics and insights • Lead and develop a high-performing global team of new era clinical monitoring professionals • Build capabilities in digital literacy, data interpretation, and AI collaboration • Foster a culture of innovation, accountability, and continuous learning • Collaborate cross-functionally with Clinical Operations, Data Management, Biostatistics, and IT • Serve as a key interface with executive leadership on clinical operations performance and innovation • Inspirate and collaborate with external partners, Sponsors, CROs, and sites to scale digital adoption • Represent the organization in industry forums on AI in clinical trials • Other duties as assigned