Foundation

Role Description The Content Engineer owns the system that automates brief creation at AirOps, allowing writers to submit keywords and receive structured briefs for quick editorial review. - Design and maintain AirOps content workflows across all content types. - Create and configure brand kits during client onboarding; maintain the workflow that keeps them synced when editors update writer’s guides. - Assess workflow output quality at the structural level: research approach, methodology alignment, brief readiness for editorial review. - Update workflows as Foundation’s strategy evolves — new formats, methodology changes, template updates. - Onboard new clients as the pilot expands. - Troubleshoot workflow issues; escalate to AirOps support when needed. - Expand Foundation’s use of AirOps by experimenting with new capabilities and piloting them into production. Qualifications - Systems thinking — breaks content processes into logical steps, spots where they break down. - AI fluency — comfortable with AI tools, prompt logic, and automation platforms. - Content knowledge — understands how different content types work; familiarity with AI visibility and GEO is a strong asset. - Attention to detail — small prompt changes have meaningful downstream effects. - Self-directed — finds what’s not working and fixes it. - Collaborative — aligns before moving forward on experiments or changes. Requirements - Experience with AirOps or similar tools (n8n, Zapier, Make) is nice to have. - Background in content operations, strategy, editorial, or content creation — the more content knowledge, the better. - Familiarity with SEO, B2B content marketing, or AI visibility is a plus. What Success Looks Like at 90 Days - Runs briefs end-to-end for any active client without support. - Has shipped at least one workflow improvement. - Editors spend 15 minutes or less on brief review. - Ready to onboard the next client independently.

• Analyze large healthcare datasets to identify trends, patterns, and actionable insights • Develop and maintain dashboards, scorecards, and key performance indicators (KPIs) • Extract, transform, and load (ETL) data from multiple systems into the enterprise data warehouse • Collaborate with clinical and operational teams to understand business needs and deliver reporting solutions • Perform data modeling, mapping, and visualization for quality improvement initiatives • Present findings and recommendations through clear, compelling visual and written communication • Support data governance, data quality, and performance improvement initiatives • Leverage benchmarking tools (e.g., Vizient and external datasets) to evaluate performance • Design and optimize SQL queries, tables, views, and stored procedures

• Develop and maintain reports, dashboards, scorecards, KPIs, and analytical models that support quality and performance improvement initiatives. • Analyze complex healthcare data from multiple sources, including the Enterprise Data Warehouse and clinical systems. • Create and manage SQL tables, views, stored procedures, and advanced queries to support reporting and analytics needs. • Monitor performance metrics, identify trends, and provide actionable insights to support leadership decision-making. • Gather and evaluate benchmarking data from Vizient, public reporting sites, and other industry resources. • Support quality improvement initiatives through data analysis, statistical evaluation, and performance measurement. • Collaborate with physicians, nursing leaders, quality teams, and operational stakeholders to communicate findings and recommend opportunities for improvement. • Maintain and enhance quality, risk, regulatory, and patient safety databases and reporting systems. • Participate in data governance, metadata management, and enterprise data initiatives. • Utilize Lean methodologies and performance improvement tools to help optimize processes and outcomes.

• Enters study data into EMR and CTMS within 3 days of the study visit • Build and maintain data standards for all clinical trials • Participate in discussions related to and assist in the creation of Electron Data Capture (EDC) builds for Investigator Initiated Studies (IITs) • Reviews and resolves queries within 3 days of notification • Support clinical trial studies from preparation through closeout • Ensure source documentation and management of clinical study data is in accordance with FDA regulations, ICH/GCP guidelines and ALCOCA + standards • Perform quality assurance checks to ensure the accuracy of data entry • Communicates with sponsors to address any protocol issues related to quality of data entry • Escalates non-compliant data collection and/or submission • Participates in departmental required meetings and trainings

• Follows established procedures for the review, classification, and abstraction of clinical data from patients’ medical records. • Reads and interprets medical record documentation for Evaluation & Management, surgical procedures, and other services. • Applies Official ICD-10-CM Guidelines to select diagnosis and procedure codes. • Keeps current with ICD-10-CM and CPT-4 code changes and updates. • Completes productivity reports and maintains coding quality standards.

• Prepare, review, compile, and support submission of regulatory documents for assigned research IND applications, including initial INDs, annual reports, protocol amendments, information amendments, and safety reports. • Support preparation of non-emergency use single-patient IND submissions. • Review investigator regulatory files and site documentation, including Form FDA 1572s, IRB approvals, and related documents, for accuracy, completeness, and compliance. • Assist with maintaining compliance with applicable regulatory requirements, institutional and departmental policies, FDA regulations and guidance, and GCP guidelines. • Maintain professional growth and development by participating in seminars, workshops, professional affiliations, and other learning opportunities to remain current with regulatory affairs practices. • Ensure compliance with applicable regulatory, departmental, institutional policies and FDA guidance rulings, as well as ensuring compliance with Good Clinical Practice (GCP) guidelines for research programs.

• Responsible for managing one or more Data Services projects with simple to intermediate complexity • Interacting closely with internal staff and business partners to effectively develop and deliver project solutions • Ensures adherence to project management processes and best practices as defined by Data Services • Serves as a primary point-of-contact for assigned projects, managing day-to-day activities and resources • Administers meetings, learning sessions, and communication with all levels of organization within City of Hope and its contracted vendors • Completes project deliverables that are timely and meet quality and customer expectations • Manages project change requests needed to adjust schedule, budget, or scope • Develops and delivers timely status reports, project metrics or other management reports required by leadership and stakeholders

• Verify insurance policy benefit information and obtain authorizations/pre-certifications for clinical trial services • Review billing grid/budget and compile list of all procedures associated to research • Verifies hospital and professional insurance policy benefits for clinical trial patients • Ensure a high level of customer service by being a resource to patients and team members

• Build and lead a managed care analytics function, establishing scalable processes, standards, and operating models • Develop financial models to support payer negotiations, renewals, and pricing strategies • Produce negotiation-ready insights including reimbursement analysis, revenue impact, and margin sensitivity • Translate payer strategy into data-driven decisions impacting contracts, service lines, and network strategy • Analyze value-based care performance, bundled payments, and total cost of care models • Partner cross-functionally to ensure data accuracy, governance, and actionable reporting • Deliver executive-level dashboards and reporting to guide enterprise decision-making • Support live negotiations with real-time modeling and financial scenarios • Identify underperformance, denial trends, and contract compliance risks • Drive improvements in payer strategy, reimbursement structures, and financial outcomes

• Lead commercial assessments for a broad portfolio of innovations, including therapeutics, diagnostics, and emerging technologies • Evaluate market opportunity, competitive positioning, clinical value, and commercialization potential • Develop go/no-go recommendations to guide licensing, partnerships, and venture creation decisions • Build comprehensive business cases including market sizing, revenue potential, and risk-adjusted scenarios • Conduct competitive benchmarking, deal analysis, and valuation assessments • Partner with scientific founders and advisors to shape new company concepts and development strategies • Identify key gaps across data, regulatory, IP, and commercialization readiness • Create executive-ready materials including investment memos, pitch decks, and diligence packages • Collaborate cross-functionally with business development, IP, finance, legal, and research teams • Support development of standardized frameworks, templates, and assessment methodologies.