Job
Description
You will be responsible for managing automation projects activities that are assigned as new or operational enhancement initiatives in R&D functional areas. Your role will involve contributing to designing, implementing, configuring & testing automation systems, applications & tools, instruments, and device interfacing architectures. Additionally, you will develop project proposals, detailed design specifications, operations & control philosophy, technical recommendation, user and training manuals. You will also contribute to validations & certifications during factory acceptance & site acceptance testing for automation systems and integration packages. It will be crucial to coordinate with basic & detailed engineering partners during project designing and execution stages. Troubleshooting user issues related to data acquisition, tag configuration, historian management, custom definitions, query management, and alert monitoring will be part of your responsibilities. Monitoring performance and conducting periodic audits to ensure uptime availability and improve the effectiveness of the implemented automation system will be essential. You will also need to review & update SOPs, SMPs, procedures, and guidelines documentation. Conducting user awareness & trainings to increase adoption and system usage is also a key aspect of the role. Ensuring periodic back-ups of process data, databases & system configurations will be part of your routine tasks. Monitoring & auditing compliance with site HSE procedures/practices and Information security requirements is also crucial. **Education Requirement:** - B.E. / B.Tech in Electronics, Computer Science, Instrumentation, Industrial Automation, Biotechnology from a reputed institute. **Experience Requirement:** - 6-8 years as a laboratory informatics, data engineer, database administrator, application developer, managing scientific tools, applications & analytical lab instrument data management. - 3-4 years of experience desirable as a research data scientist, data engineer managing systems and application development in a scientific or research organization. **Skills & Competencies:** - Aptitude towards information, communication, and network technology to design, build, and maintain automation systems, applications & interfaces. - In-depth knowledge of Laboratory informatics, SQL, and scientific databases. - Computer Science fundamentals and general-purpose programming languages. - Design, construct, install, test, and maintain highly scalable data management systems. Ensure systems meet business requirements and industry practices. - Build high-performance algorithms, prototypes, predictive models, and proof of concepts. - Research opportunities for data acquisition and new uses for existing data. - Develop data set processes for data modeling, mining, and production. - Integrate new data management technologies and software engineering tools into existing structures. - Create custom software components and analytics applications by employing a variety of languages & tools (e.g., scripting languages), interface systems. - Working knowledge of Data warehousing and the application of various ETL tools. - Applying machine learning algorithms and libraries. - Recommend ways to improve data reliability, efficiency, and quality. - Collaborate with data architects, data scientists, and analysts on project goals. - Possess strong analytical skills, be a self-starter, and have a passion for excellence. - Apply innovative ideas in problem-solving with reasoning skills. - Aptitude to understand diverse functional domains for relevant projects. - Team player with strong coordination and communication skills.,
