• Designs and develops scalable solutions using AI tools and machine-learning models. • Performs research and testing to develop machine learning algorithms and predictive models. • Utilizes big data computation and storage tools to create prototypes and datasets. • Conducts model training and evaluation. • Integrates, tests, tunes, and monitors solutions. • Participates in model brainstorming conversations with potential internal customers interested in AI/ML capabilities. • Analyzes use cases of ML algorithms and applies findings to enable business decisions by deriving insights through data visualization. • Writing moderately complex SQL and Python/R code to extract data from databases and data sources. • Explores and visualizes data to verify data quality and ensure data quality via data cleaning. • Builds ML/AI models using common methods within R and Python. • Analyzes ML algorithms that could be used to solve problems and rank them by success probability. • Develops logging, alerting, and strategies for handling model errors. • Produces fairness review for each developed model. • Sets up continuous integration/continuous deployment (CI/CD) pipelines used for model automation. • Produces clean & readable code that has been correctly unit tested and optimized for performance. • Completes deployment integration testing to ensure seamless deployment. • Maintains and supports AI/ML patterns by reviewing and solving issues and running ML/AI models. • Assists in leading team-wide initiatives that help develop templates and define best practices to improve model building and deployment workflow.

• The Clinical Data Manager (or Senior Clinical Data Manager, based on experience) will lead database development and management efforts — encompassing EDC, eTMF, and CTMS systems. • This role requires deep expertise in clinical data management and system build, as well as proficiency in data visualization. • The ideal candidate will have demonstrated hands-on experience designing, building, implementing, and maintaining clinical data systems from the ground up, ensuring high-quality data outputs that support regulatory submissions and cross-functional decision-making. • This individual will serve as the functional owner of all clinical data systems and infrastructure and will be expected to assess, revise, and strengthen existing SOPs and data management processes to meet regulatory and operational standards. • Lead development, implementation, and ongoing management of eTMF and CTMS systems in collaboration with Clinical Affairs, Regulatory Affairs, and IT stakeholders.

Role Description The Head of Data is a rare hybrid role built for a seasoned data professional who thrives at the intersection of technical depth and business partnership. This is a founding position — the first dedicated data hire at the company — and the individual who steps into it will be responsible for building the data function from the ground up: - Establishing strategy - Selecting tools - Architecting infrastructure - Delivering reporting and insights In the near term, this person will operate as a team of one, performing hands-on work across the full data stack: - Designing and building a data warehouse and ELT pipelines - Collaborating with business leaders to understand critical metrics - Developing dashboards and reports Over time, this role will evolve into a team leadership position, with the Head of Data hiring, building, and managing a dedicated team beneath them. The right candidate is senior enough to know exactly what “good” looks like and how to build it — and humble and hungry enough to build it themselves. This is emphatically not a role for someone who has moved past hands-on work; it is a role for someone who still loves the work and is energized by the opportunity to create something new. Strategic thinking and technical execution are equally required. Key Responsibilities - Data Strategy & Architecture - Define and own the company's data strategy — identifying priorities, sequencing the work, selecting appropriate tools and technologies, and building a roadmap for the data function's evolution. - Architect and implement a scalable data warehouse that consolidates data from disparate source systems into a single, reliable source of truth. - Make pragmatic tooling decisions that balance immediate business needs with long-term scalability. - Document the data architecture, data dictionary, and system design decisions to ensure institutional knowledge is captured from day one. - Data Engineering & Pipeline Development - Design and build ELT pipelines to extract and transform data from source systems into the data warehouse. - Develop and maintain data connections and integrations with upstream systems. - Establish and enforce data quality standards, naming conventions, and governance practices. - Monitor and maintain pipeline performance, proactively identifying and resolving data issues. - Analytics, Reporting & Dashboard Development - Engage directly with business stakeholders to identify and prioritize critical metrics, KPIs, and reporting views. - Translate stakeholder requirements into well-designed dashboards and reports using BI tools. - Define and standardize metric definitions across the organization. - Conduct exploratory and ad hoc analysis to surface trends, anomalies, and insights. - Validate dashboard outputs rigorously, taking personal ownership of accuracy. - Team Building & Function Development - Operate effectively as a team of one in the near term. - Develop a staffing and capability roadmap for the data function. - Recruit, hire, and develop team members over time. - Establish the processes, standards, and team culture for the data function. - Cross-Functional Partnership - Serve as the primary data partner for leaders across the organization. - Communicate technical concepts and analytical findings clearly to non-technical audiences. - Collaborate with Finance and FP&A to ensure data infrastructure supports financial reporting. - Maintain a prioritized backlog of data and reporting requests. Qualifications - 10+ years of professional experience in data engineering, analytics, or business intelligence. - Proven track record working as a generalist or hybrid data professional. - Experience building or significantly scaling a data function. - Strong proficiency in SQL and experience with ELT tools and frameworks. - Hands-on experience designing and implementing data warehouse or data lake architectures in cloud environments. - Experience building dashboards and reports in at least one modern BI tool. - Demonstrated experience working directly with business stakeholders. - Prior experience in a multi-site, operationally complex business is a plus. Requirements - Bachelor's degree in Computer Science, Information Systems, Statistics, Mathematics, Data Analytics, or a related technical or quantitative field required. - Advanced degree or relevant certifications are a plus.

Role Description We are seeking passionate English-speaking programming instructors who are committed to delivering high-quality, engaging learning experiences. You will guide students through their journey in coding and AI, helping them build strong technical foundations while fostering creativity and problem-solving skills. - Deliver interactive programming sessions to K–12 students in English - Teach foundational programming concepts (e.g., Scratch, Python, Web Development, Mobile Development, Game Development basics) - Guide students through hands-on projects in areas such as programming, game development, and AI basics - Adapt teaching methods to different age groups and learning levels - Maintain high levels of student engagement and participation - Assess student performance and provide constructive feedback - Communicate effectively with students, parents, and iSchool teams Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related field - Fluency in English (spoken and written) - Passion for education and technology - Strong knowledge of programming fundamentals (e.g., Python, JavaScript, Scratch) - Ability to learn and teach new tools and technologies (e.g., FlutterFlow, Unity, Godot) - Excellent presentation and communication skills - Experience teaching or working with students (preferred) Requirements - Availability is required on Fridays and Saturdays from 3:00 PM to 10:00 PM Benefits - Competitive salary - Fully remote work - Part-time weekend schedule (Fridays & Saturdays) - Opportunity to take on additional days based on your availability - Continuous learning & development opportunities - A collaborative and growth-oriented environment