• Aplicar los conocimientos técnicos y mecánicos de trabajo para realizar todas las fases de la observación y el registro de datos de pruebas técnicas en apoyo de proyectos de ingeniería. • Usar manuales técnicos estandarizados y construir plantillas de base para ejecución • Recopilar datos de campo que consisten en mantener un registro cronológico preciso y detallado de todas las operaciones de elementos de prueba y datos relacionados con el mantenimiento. • Analizar equipos y funcionamiento del terminal para transformar la información al formato necesario para el sistema INFOR. • Implementar standards vopak para la correcta transformación de información en el sistema INFOR. • Verificar y corregir codificación existente en el sistema INFOR teniendo en cuenta estándares. • Solicitar y verificar información teniendo en cuenta el alcance del Proyecto. • Verificar y corregir planes de Mantenimiento. • Realizar recolección de información como: punto de aislamientos, locaciones y zonas, para implementación de proyectos como permiso de trabajo. • Crear y actualizar posiciones finales en árbol de activos existentes, en plantilla de carga de datos estandarizada para envío a la división para revisión/aprobación. • Recolección de datos en campo, en las terminales asignadas por la división de américa, para estructuración de árbol de activos de acuerdo a lo real instalado en planta (disponibilidad de viaje al exterior) • Apoyar en la implementación del módulo Control of Work en INFOR, identificando puntos de bloqueo y etiquetado, posibles daños a equipos, y árbol de peligro y riesgos.

Role Description The Graduate Teaching Assistant will support the course coordination and administration of the UBC Extended Learning Health Data Analytics Micro-certificate Program, a part-time, 100% online program designed for health professionals to learn foundations in data analytics in a health context. The program consists of 3 courses, each 5 weeks in duration. Each course is offered three times through the calendar year. We anticipate each course cohort to be up to 25 students. - Introduction to the Big Data Era & Opportunities for Better Health Care: Dec 29, 2026 to Mar 15, 2027 - Health Data and Visualization: Feb 16 to May 5, 2027 - Health Data Analysis and Machine Learning: Mar 30 to June 17, 2027 A Graduate Teaching Assistant (GTA) is needed for each course. It is possible to be a GTA for one course and one offering (~10 weeks employment), however priority will be given to applicants who can commit to more than one course or offering. Key Responsibilities: - Work with the Course Instructor to ensure course content is up to date on Canvas (e.g. updating announcement dates, assignment due dates, Zoom office hours) - Respond to student’s questions in weekly discussions on Canvas - Mark submitted assignments according to provided rubrics with Gradebook and assign student final grades - Attend weekly office hours as needed (1 hour/week) - Fix and/or document any mistakes or issues identified with course content for future iterations Qualifications - Enrolled in a graduate program related to data science, or health sciences/medicine disciplines - Advanced knowledge of data science, statistics and machine learning - Education or work experience in health sciences, health data analytics - Excellent written and verbal communication skills - Ability to work independently and collaboratively - Familiarity with Canvas Requirements - Hours per week: 5-10 hours per week - Hourly rate: $38.65-$40.16/hour depending on experience Benefits - Equity and diversity are essential to academic excellence. - An open and diverse community fosters the inclusion of voices that have been underrepresented or discouraged. - We encourage applications from members of groups that have been marginalized on any grounds enumerated under the B.C. Human Rights Code.

Role Description We are seeking a reliable and self-motivated Data Entry Processor to join our operations team. This role is responsible for keying, scanning, and docu-typing claims for clients. The ideal candidate will be comfortable working in a fast-paced, high-volume environment and capable of performing physical tasks and basic equipment. - Data Entry Processor will be responsible for keying and docu-typing medical claims - Sorting, scanning, and performing quality check processes - Receives data and ensures document classification are completed and transmitted to clients - Receives documents from both electronic and hard copy forms for processing - Capture information based on client requirements - Strong attention to detail - Comfortable working with high volume workload/environment - Previous data entry experience with high accuracy is preferred - Performs other duties assigned Qualifications - Must be able to pass a criminal background check - Must be at least 18 years of age or older - Able to pass typing test - Must have a High School Diploma or GED - Must be eligible to work in the United States Requirements - Pay is $15.00/hr which may be below your state's minimum wage. Please take this into consideration when applying. - Pay Transparency Laws in some locations require disclosure of compensation and/or benefits-related information. For this position, actual salaries will vary and may be above or below the range based on various factors including but not limited to location, experience, and performance. - In addition to base pay, this position, based on business need, may be eligible for a bonus or incentive. Benefits - Full Time Employment - Salary starting at $15.00 per hour - Career Growth - Full Benefits offered - Great Work Environment

Role Description The Graduate Teaching Assistant will support the course coordination and administration of the UBC Extended Learning Health Data Analytics Micro-certificate Program, a part-time, 100% online program designed for health professionals to learn foundations in data analytics in a health context. The program consists of 3 courses, each 5 weeks in duration. Each course is offered three times throughout the calendar year. We anticipate each course cohort to be up to 25 students. - Work with the Course instructor to ensure course content is up to date on Canvas (e.g. updating announcement dates, assignment due dates, Zoom office hours) - Respond to student’s questions in weekly discussions on Canvas - Mark submitted assignments according to provided rubrics with Gradebook and assign student final grades - Attend weekly office hours as needed (1 hour/week) - Fix and/or document any mistakes or issues identified with course content for future iterations Qualifications - Enrolled in a graduate program related to data science, or health sciences/medicine disciplines - Advanced knowledge of data science, statistics and machine learning - Education or work experience in health sciences, health data analytics - Excellent written and verbal communication skills - Ability to work independently and collaboratively - Familiarity with Canvas Requirements - Hourly rate: GTA 1 - $40.16/ hour; GTA 2 - $38.65/ hour (determined by experience) - A GTA 1 is a graduate student who has completed two (2) years’ service as a graduate student teaching assistant - A GTA 2 is a graduate student with less than two (2) years’ service as a graduate student teaching assistant - Number of positions available in the course: 1 - Scheduled mode of delivery: Online - Hours per week: 5-10 hours per week - Supervisor: Dr. Anita Palepu, Head, Department of Medicine and Co-lead for Data Science and Health Research Excellence Cluster Benefits - Commitment to employment equity and inclusion - Opportunity to work in a diverse workforce - Conditions for a rewarding career