C

Data Management and Quality Assurance

Community Empowerment Lab
Full-time
On-site
Kanpur, Lucknow, Kanpur, Varanasi, India

Craft a career story that makes you proud! Every human, after all, is a greater possibility!

 

Position: Data Management and Quality Assurance

Number of Vacancies: 3

Primary Location: Uttar Pradesh (Lucknow, Kanpur, Varanasi)

 

What is Community Empowerment Lab?

We, at Community Empowerment Lab, love to watch our people write their own stories – stories of success and challenges, stories of connecting with communities, of serving mothers and children. Stories of serving our nation.

So, who are we exactly? We are a Not for Profit Research Organization working on the frontiers of maternal and neonatal health, serving some of the most vulnerable through innovations and leveraging cutting-edge scientific approaches in public health. We are driven by scientific evidence, national priority, and global public health challenges!

Our mission revolves around empowering communities by providing them with evidence-based solutions to address their needs, thereby bridging the gap between communities and scientific knowledge. We adopt a grounds-up approach, engaging with communities to understand their requirements and co-designing solutions with scientific rigor. These solutions undergo trials and implementation research to ensure efficacy. The insights gained are then scaled up to influence state, national, and global policies and practices. Our focus lies at the intersection of newborn survival and maternal health, health system strengthening, and early childhood development, aligning all our initiatives to tackle both local and global challenges faced by newborns and mothers.

We are Collaborative Centre of Excellence for Indian Council of Medical Research joining hands with several scientific research organizations pan-India to address numerous national priorities and build a future scientific workforce for the country!  We are also an ICMR - Centre for Advanced Research for Neonatal and Maternal Health working on solutioning newborn survival! In Uttar Pradesh, we support UP National Health Mission as a newborn survival specialist through UP TSU (Uttar Pradesh Technical Support Unit).

 

For more information please visit our website https://www.celworld.org

What defines us as a team?

We are young, collegial, committed, and sensitive - a bunch of creative people which loves to do science with a compassionate heart. We believe in human goodness, unending capacities to grow as leaders, and finding meaning through consistent efforts. We believe in learning by doing! We believe in soiling our hands, doing science in the midst of community, and keeping the community at centre! We are not mere desktop researchers. We value high-impact research publications and simultaneously bringing the solutions to the doorstep of those who need them most!

Our people drive the organization and contribute to mutual growth. Some bright public health scientists, tech talent, management mavens, community organizers, and volunteers have kept us going for over twenty years now. We are ambitious, and growing and we need many more of our tribe now. At CEL, we encourage people to pursue a career, with a passion for public health service.

What do you get? The freedom to express your talent, the joy of watching the difference your work makes to our nation, and the reward of working with a vibrant, joyful team.

 

Who are we looking for?

CEL is now looking for Data Management and Quality Assurance personnel. We are building a dedicated data management, analytics and quality assurance team to manage primary data collection, data storage and analysis, and data quality for all the projects. You will be at the center to our data team, watching the flow of data, ensuring gold standard data quality, and helping to channel data for decision-making.

 

Since our study area consists of families that have Hindi as their native language - communication in Hindi and local dialect would be desirable. Proficient communication in English would be appreciated for engaging in formal communication, especially with our foreign partners, stakeholders, etc.

 

Scope of Work

      Database design and management

        Collaborate with research team members to prepare of data dictionary, and QA framework outlining standards.

        Design the digital data collection application ensuring inbuild accuracy, completeness, and consistency in data collection.

        Implement quality control measures, validation checks, and error detection protocols.

        Design and implement database structures optimized for efficient data storage, retrieval, and management, considering factors such as data normalization, indexing, and scalability.

        Manage the life cycle of reference and master data issues from identification, analysis, phased introduction, prioritization, and planning of the integration of the data into subscribing nodes.

      Data Documentation, Security and Confidentiality

        Maintained detailed documentation of data collection procedures, variable definitions, and data transformation processes.

        Implement security measures to protect research data from unauthorized access, disclosure, or loss.

        Ensure compliance with data protection regulations and institutional policies governing data security and confidentiality.

      Dashboard and Data Analysis Support

        Support in study dashboard designing.

        Prepare datasets for sharing and dissemination according to research protocols and data-sharing agreements.

        Archive research data in repositories or data archives for long-term preservation and access.

        Perform data cleaning and preprocessing tasks to identify and correct errors, inconsistencies, and missing values in the dataset.

        Standardize data formats and resolve discrepancies to maintain data integrity.

        Collaborate with researchers to prepare datasets for analysis, including data merging, transformation, and aggregation.

        Provide support for statistical analysis, data visualization, and interpretation of research findings.

      Compliance and Ethics Oversight

        Ensure research data management practices comply with relevant ethical guidelines, regulatory requirements, and institutional policies.

        Provide training and support to research team members on data management best practices, tools, and procedures. Offer guidance on data documentation, entry, and quality assurance processes.

      Quality Assurance

        Develop data quality plans and protocols to guide data collection, processing, and analysis.

        Conduct regular quality control checks to monitor the accuracy, completeness, and consistency of research data. Implement validation checks, range checks, and error detection protocols to identify and correct data anomalies.

        Conduct periodic audits of research data and processes to assess compliance with QA standards, regulatory requirements, and best practices. Identify areas for improvement and recommend corrective actions to enhance data quality and research integrity.

        Conduct regular meetings with data collection team to give the feedback to improve the quality.

        Develop risk mitigation strategies and contingency plans to minimize the likelihood of errors.

        Communicate QA results, recommendations, and best practices to stakeholders, research sponsors, and regulatory authorities.

 

The Data Management and Quality Assurance role will have significant responsibilities in the analytics team.

 

Travel: Willingness to travel to the field as per requirement.

 

Qualification and Experience

      Bachelor's degree in Engineering/Computer Science/Information Technology, or related subject plus three Years’ experience OR Post graduate degree in technology or relevant subject.

 

Necessary knowledge and skills

      Good hands-on experience in data management systems i.e. e.g., SQL Server, MySQL, SQL queries, and ETL processes.

      Past experience with data cleaning techniques, tools, and algorithms for identifying and correcting errors, inconsistencies, and missing values in datasets.

      Knowledge of data security principles, encryption methods, and regulatory requirements governing the handling and protection of sensitive research data.

      Familiarity with statistical analysis techniques and software (e.g., SPSS, R, Python) for conducting descriptive and inferential analyses of research data is desirable.

      Experience in the ethical use of AI tools in research (chatGPT etc.)

      Effective communication skills to collaborate with interdisciplinary research teams, convey technical information clearly, and provide training and support to non-technical users

      Strong problem-solving skills and analytical thinking to identify and resolve data management issues, optimize database performance, and address data-related challenges.

      Keen attention to detail and accuracy in data management processes to maintain data integrity, quality, and reliability throughout the research project lifecycle.

      Proficiency in data quality management principles, methodologies, and tools for assessing, monitoring, and improving data quality.

 

Compensation: As per ICMR norms.

 

Application Procedure:

If you find this opportunity aligning with your skills and passion, we welcome you to apply by following these steps:

 

Ø  Apply on this link https://www.celworld.org/work-with-us

Ø  Craft a brief yet impactful cover letter, around 500 words, that details your motivation for applying, your interest in Maternal and Newborn Health, and your enthusiasm for contributing to the work of Community Empowerment Lab.

Ø  Attach your updated resume with a recent photograph.

Ø  We kindly request that you include your current and expected salary details, along with your anticipated start date, in your cover letter



Requirements

      Bachelor's degree in Engineering/Computer Science/Information Technology, or related subject plus three Years’ experience OR Post graduate degree in technology or relevant subject.