The LIMS Project Manager leads the end to end delivery of a Laboratory Information Management System (LIMS) Project, overseeing multiple cross functional projects across scientific, technical, and operational domains. This role ensures strategic alignment, integrated planning, risk management, stakeholder communication, and successful rollout of LIMS capabilities across the organization.
Key Responsibilities
1. Project Governance & Leadership • Define and maintain the LIMS Project structure, including projects, workstreams, and associated success metrics. • Lead Project level governance, including decision forums, steering committees, and quarterly/weekly reporting cadences. • Oversee cross project integration, dependencies, and sequencing to ensure cohesive delivery across labs and functions.
2. Strategic Road mapping & Planning • Develop and maintain a comprehensive integrated Project roadmap, outlining phases, milestones, releases, and change management activities. • Coordinate resource planning and resolve prioritisation or capacity conflicts with domain leaders (Data, Lab IT, QA/eCompliance, etc.).
3. Stakeholder Management & Communication • Lead senior stakeholder alignment across scientific teams, Lab IT, QA, Data Management, vendor partners, and Project sponsors. • Drive project level communications, visibility of status, decisions, risks, and major releases. • Collaborate closely with business owners, product teams, and project managers.
4. Risk, Issue & Change Management • Own Project level risks and issues; ensure timely mitigation, escalation, and cross project coordination. • Drive change control processes, ensuring LIMS scope, requirements, and solution choices align with enterprise standards. • Ensure Project compliance with regulatory and QA/eCompliance guidelines relevant to LIMS (e.g., IQ/OQ/UAT).
5. Project Execution Oversight • Oversee delivery progress across all LIMS projects (workflow design, integration, instrument connectivity, data modelling, deployment readiness). • Ensure harmonization and alignment across laboratory workflows, data models, and metadata standards (as highlighted in OneLIMS implementation discussions). • Monitor Project KPIs, forecast critical milestones, and implement corrective actions when needed.
6. Transition, Deployment & Closure • Lead planning of releases, deployment waves, site onboarding, and transition-to-operations. • Ensure proper documentation, handover, training, and post deployment support frameworks. • Drive Project closure activities and lessons learned documentation.
Required Skills & Experience Core Competencies • Strong Project and project management experience (multi workstream scientific/technical Projects). • Deep understanding of LIMS platforms, laboratory workflows, sample lifecycle management, and related systems (ELN, instrumentation, SDMS, data warehouses). • Experience coordinating with Data Governance, Data Platform, Lab IT, QA/eCompliance teams. • Excellent communication, stakeholder management, and leadership skills. Technical Knowledge • LIMS systems (e.g., Sapio, LabWare, STARLIMS, LabVantage). • Understanding of metadata standards, raw data lifecycle, integrations, vendor neutral formats, and scientific data models. • Knowledge of validation frameworks (IQ/OQ/PQ/UAT) as part of LIMS deployment. ________________________________________ Preferred Qualifications • 10+ years in scientific informatics, LIMS, digital lab systems, or similar domains. • Certification in Project/project management (PMP, PgMP, Agile, SAFe). • Experience working across global R&D or regulated laboratory environments.
Responsibilities
The LIMS Project Manager leads the end to end delivery of a Laboratory Information Management System (LIMS) Project, overseeing multiple cross functional projects across scientific, technical, and operational domains. This role ensures strategic alignment, integrated planning, risk management, stakeholder communication, and successful rollout of LIMS capabilities across the organization.
Key Responsibilities
1. Project Governance & Leadership • Define and maintain the LIMS Project structure, including projects, workstreams, and associated success metrics. • Lead Project level governance, including decision forums, steering committees, and quarterly/weekly reporting cadences. • Oversee cross project integration, dependencies, and sequencing to ensure cohesive delivery across labs and functions.
2. Strategic Road mapping & Planning • Develop and maintain a comprehensive integrated Project roadmap, outlining phases, milestones, releases, and change management activities. • Coordinate resource planning and resolve prioritisation or capacity conflicts with domain leaders (Data, Lab IT, QA/eCompliance, etc.).
3. Stakeholder Management & Communication • Lead senior stakeholder alignment across scientific teams, Lab IT, QA, Data Management, vendor partners, and Project sponsors. • Drive project level communications, visibility of status, decisions, risks, and major releases. • Collaborate closely with business owners, product teams, and project managers.
4. Risk, Issue & Change Management • Own Project level risks and issues; ensure timely mitigation, escalation, and cross project coordination. • Drive change control processes, ensuring LIMS scope, requirements, and solution choices align with enterprise standards. • Ensure Project compliance with regulatory and QA/eCompliance guidelines relevant to LIMS (e.g., IQ/OQ/UAT).
5. Project Execution Oversight • Oversee delivery progress across all LIMS projects (workflow design, integration, instrument connectivity, data modelling, deployment readiness). • Ensure harmonization and alignment across laboratory workflows, data models, and metadata standards (as highlighted in OneLIMS implementation discussions). • Monitor Project KPIs, forecast critical milestones, and implement corrective actions when needed.
6. Transition, Deployment & Closure • Lead planning of releases, deployment waves, site onboarding, and transition-to-operations. • Ensure proper documentation, handover, training, and post deployment support frameworks. • Drive Project closure activities and lessons learned documentation.
Required Skills & Experience Core Competencies • Strong Project and project management experience (multi workstream scientific/technical Projects). • Deep understanding of LIMS platforms, laboratory workflows, sample lifecycle management, and related systems (ELN, instrumentation, SDMS, data warehouses). • Experience coordinating with Data Governance, Data Platform, Lab IT, QA/eCompliance teams. • Excellent communication, stakeholder management, and leadership skills. Technical Knowledge • LIMS systems (e.g., Sapio, LabWare, STARLIMS, LabVantage). • Understanding of metadata standards, raw data lifecycle, integrations, vendor neutral formats, and scientific data models. • Knowledge of validation frameworks (IQ/OQ/PQ/UAT) as part of LIMS deployment. ________________________________________ Preferred Qualifications • 10+ years in scientific informatics, LIMS, digital lab systems, or similar domains. • Certification in Project/project management (PMP, PgMP, Agile, SAFe). • Experience working across global R&D or regulated laboratory environments.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Descriptions: Looking for a DataETL QA Engineer with strong experience in DB automation| SQL validation| and ETL workflow testing. Must understand data transformation logic end to end across pipelines. Experience automating ETL or data validation processes is essential. Strong analytical skills and ability to work with large datasets and complex mappings.
Essential Skills: Looking for a DataETL QA Engineer with strong experience in DB automation| SQL validation| and ETL workflow testing. Must understand data transformation logic end to end across pipelines. Experience automating ETL or data validation processes is essential. Strong analytical skills and ability to work with large datasets and complex mappings.
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Experience Required: 4-6
Role Description : Azure Data Engineer
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Experience Required: 4-6
Role Description : Azure Data Engineer
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Role Descriptions: Power Bi Dev
Essential Skills: Power Bi Developer
Location: ~Siruseri-Chennai~Bhubaneswar - Barabati~
Skills: Digital : Microsoft Power BI
Experience Required: 6-8
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
• Job Summary:
Engineer
• Roles and Responsibilities
• Design, develop, and maintain embedded software for microcontroller based systems. • Develop and optimize firmware using Embedded C for real time and memory constrained environments. • Collaborate with hardware teams on board bring up, integration, and system validation. • Implement and maintain device drivers, communication stacks, and low level interfaces (SPI, I2C, UART, CAN, Modbus, etc.). • Analyse requirements and participate in embedded system architecture discussions. • Conduct unit testing, integration testing and field issue debugging. • Use oscilloscopes, logic analyzers, JTAG, and other tools to troubleshoot issues is a plus. • Prepare and maintain technical documentation, including design specifications and unit test procedures. • Participate in Agile/Scrum processes, including code reviews and sprint activities. • Ensure compliance with safety, performance, and quality standards relevant to the product domain
Responsibilities
• Required Skills
• Bachelor’s degree in Electrical Engineering, Electronics, Computer Engineering, or a related discipline. • 3-5 years of professional experience in embedded system and firmware development. • Strong proficiency in Embedded C programming for embedded systems. • Hands on experience with ARM Cortex microcontrollers. • Experience working with RTOS environments such as FreeRTOS. • Understanding of digital/analog electronics and hardware schematics. • Proficiency with communication protocols including UART, SPI, I2C, and CAN. • Practical experience with debugging tools and methodologies (oscilloscopes, logic analyzers, JTAG/SWD). • Strong understanding of software development workflows and version control (Git, SVN).
• Desired Skills:
• Bachelor’s degree in Electrical Engineering, Electronics, Computer Engineering, or a related discipline. • 3-5 years of professional experience in embedded system and firmware development. • Strong proficiency in Embedded C programming for embedded systems. • Hands on experience with ARM Cortex microcontrollers. • Experience working with RTOS environments such as FreeRTOS. • Understanding of digital/analog electronics and hardware schematics. • Proficiency with communication protocols including UART, SPI, I2C, and CAN. • Practical experience with debugging tools and methodologies (oscilloscopes, logic analyzers, JTAG/SWD). • Strong understanding of software development workflows and version control (Git, SVN).
• Soft Skills :
• Strong analytical, debugging, and problem solving skills. • Excellent verbal, written, and interpersonal communication abilities. • Ability to work effectively in cross functional, collaborative engineering teams. • Detail oriented, self driven, and committed to high quality engineering outcomes.
• Other Specific Requirements
Additional Qualifications (Nice to have) : • Knowledge of IoT protocols and wireless technologies. • Hands on experience with Wi Fi and BLE stacks, network provisioning, and wireless system debugging. • Proficiency or working experience with Python for scripting, automation, or test framework development. • Experience with IoT cloud connectivity (MQTT, AWS IoT, Azure IoT, etc.). • Familiarity with CI/CD pipelines, automated testing, and firmware deployment workflows.
Salary : Rs. 0.0 - Rs. 11,50,000.0
Industry :IT-Software / Software Services
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