Job
Description
Job Responsibilities : Manage the automation projects activities that are assigned as new or operational enhancement initiatives in R&D functional areas. Contribute in designing, implementing, configuring & testing automation systems, applications & tools, instruments and device interfacing architectures. Develop project proposals, detailed design specifications, operations & control philosophy, technical recommendation, user and training manuals. Contribute in validations & certifications during factory acceptance & site acceptance testing for automation systems and integration packages Coordinate with basic & detailed engineering partners during project designing and execution stages. Troubleshoot user issues related to data acquisition, tag configuration, historian management, custom definitions, query management, and alert monitoring. Performance monitoring and periodic auditing for ensuring uptime availability and improve effectiveness of implemented automation system. Review & update SOPs, SMPs, procedures and guidelines documentation. Conduct user awareness & trainings to increase adoption and system usage Ensure periodic back-ups of process data, databases & system configurations Monitor & audit compliance with site HSE procedures / practices and Information security requirements. Education Requirement : B.E. / B.Tech in Electronics, Computer Science, Instrumentation, Industrial Automation, Biotechnology from reputed institute. Experience Requirement : 6-8 years as laboratory informatics , data engineer, database administrator, application developer, managing scientific tools, applications & analytical lab instrument data management 3-4 years# experience desirable as research data scientist, data engineer managing systems and application development in scientific or research organisation. 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 modelling, mining and production Integrate new data management technologies and software engineering tools into existing structures Create custom software components and analytics applications by employing variety of languages & tools (e.g. scripting languages), interface systems Working knowledge of Data warehousing and 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 Has strong analytical skills, a self-starter and has a passion for excellence Apply innovative ideas in problem solving with reasoning skills Aptitude to understand diverse functional domains for relevant projects. Team player, strong co-ordination and communication skills. Show more Show less
