美商賽美斯醫學科技有限公司

▌Position Description: The Clinical Tech Supporter I is a specialized role in the field of clinical research. This role is responsible for providing technical support and expertise for electronic data capture (EDC) systems and related applications utilized in clinical research studies. The Applications Support Engineer plays a crucial role in ensuring the efficient functioning of EDC systems and the accurate collection and management of clinical trial data. ▌Key Responsibilities: 1. Collaboration with Study Teams: ▪ Work closely with study teams, including clinical investigators, project managers, and statisticians, to gain a deep understanding of data collection requirements and study protocols. ▪ Collaborate with stakeholders to define data standards and ensure alignment with study objectives. 2. Design and Configure eCRFs: ▪ Utilize expertise in data management and EDC systems to design and configure electronic case report forms (eCRFs). ▪ Ensure that eCRFs are tailored to specific study requirements, capturing all essential data points necessary for analysis. ▪ Collaborate with study teams to customize eCRFs according to study protocols and objectives. 3. User-Friendly eCRFs: ▪ Pay special attention to user-friendliness when designing eCRFs to facilitate ease of use for clinical site personnel and data entry personnel. ▪ Implement user-friendly features such as clear instructions, data validation checks, and logical data entry flows. ▪ Continuously gather feedback from end-users to improve eCRF design and usability. 4. Utilize Programming Languages and EDC-Specific Tools: ▪ Proficiently use programming languages such as SQL, SAS, R, and EDC-specific tools to develop custom functionalities and edit checks. ▪ Implement these custom functionalities to ensure data accuracy, consistency, and compliance with data standards. 5. Testing and Issue Resolution: ▪ Conduct thorough testing of eCRFs, edit checks, and data capture processes to identify and promptly resolve any issues or discrepancies. ▪ Collaborate with the study team to ensure the reliability and integrity of collected data. 6. Data Collection and Entry: ▪ Develop data collection tools and electronic data capture (EDC) systems. ▪ Oversee and ensure the accurate and timely entry of clinical trial data. ▪ Monitor data collection processes to identify and address discrepancies and issues. 7. Data Validation and Cleaning: ▪ Implement data validation checks and edit checks to identify errors and inconsistencies in collected data. ▪ Collaborate with clinical site personnel to resolve data queries and discrepancies. ▪ Maintain data integrity and quality throughout the trial. ▌Qualificaions: ▪ Bachelor’s degree in biological science or a related field. ▪ Ability to plan, multitask and work in a dynamic team environment. ▪ Strong verbal and written communication skills. ▪ Excellent computer skills, including proficiency in MS Office (Word, Excel, PowerPoint, Office, Project). ▪ Ability to manage and prioritize workload effectively.

▌Position Description: We are seeking a skilled and motivated R Programmer to join our dynamic team focused on clinical trials. The successful candidate will play a key role in the development, validation, and analysis of R codes and packages tailored for clinical trial data. This position requires a strong background in statistical programming, data manipulation, and a proactive approach to problem-solving. ▌Key Responsibilities: 1. Actively participate in the development of R codes and packages specifically designed for clinical trials. 2. Perform thorough validation of codes and analyses to ensure accuracy, reliability, and compliance with regulatory standards. 3. Independently design, develop, and debug R programs ranging from simple to complex within defined project timelines. 4. Independently implement statistical analysis, data preparation, and data manipulation using R programs and packages. 5. Independently create statistical tables, figures, and listings in R for clinical trial data, contributing to the production of high-quality reports. 6. Create and maintain comprehensive documentation for R programs, validation procedures, and results to facilitate transparency and reproducibility. 7. Collaborate with cross-functional teams, providing programming support and expertise as needed. 8. Assist in the preparation of clinical/RWE study reports, manuscripts, and other scientific documents under the guidance of senior team members. 9. Perform additional tasks as assigned, demonstrating flexibility and a proactive approach to evolving project needs. ▌Qualificaions: • Advanced knowledge of R programming • Strong understanding of biostatistical principles • Highly detail oriented, results driven • Good organizational, interpersonal, leadership and communication skills • Ability to independently manage multiple tasks and projects • Minimum BS (MS preferred) in Data Sciences, Statistics, Mathematics, Computer Sciences or related field. • 1+ years of experience in data sciences or research or drug industry using R. • Experiences in R-shiny, SAS, Python, clinical trials are plus. • Good documentation, communication and organization skills.

▌5+ years of experience in backend development ▌Experience in Java, SpringBoot, Spring Security, Spring REST API, GraphQL, RDBMS ▌AWS Cloud Service experience ▌Kubernetes, Docker experience is a plus. ▌CI/CD experience ▌Experience of working within an agile environment; able to identify and shape requirements, understand the technical detail, provide input into the planning and estimation of features all whilst fostering team spirit and collaboration within your team. ▌Undertaking design and code reviews to ensure our apps meet functional and non-functional requirements and proactively identifying where changes are required to maintain these in the future. ▌Engaging and contributing to the technical capability of our products to ensure they are the best fit for our customers. ▌MS or BS in Computer Science or Computer Engineering