Specialist, Institute for Global Health and Development at Aga Khan University

, , Pakistan -

Full Time

Start Date

Immediate

Expiry Date

12 Oct, 26

Salary

0.0

Posted On

14 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Management, Data Analytics, Python, R, SQL, STATA, Power BI, Tableau, GIS, Remote Sensing, Statistical Analysis, Data Visualization, ETL Workflows, Research Data Management, Database Management, Data Governance

Industry

Hospitals and Health Care

Description

Specialist, Institute for Global Health and Development Entity: Aga Khan University Location: Karachi Introduction The Aga Khan University’s Institute for Global Health and Development (IGHD) was established in the year 2020 to serve as a University-wide entity for providing a unique platform for facilitating strategic engagements and partnerships between AKU, University of Central Asia and the wider Aga Khan Development Network (AKDN). IGHD aims to address global health and environmental challenges by creating a multi-disciplinary support system and infrastructure, whereby researchers across campuses and regions can collaborate and contribute. The IGHD works across four thematic areas, including Sustainable Development Goals (including Broad Social Determinants of Health); Gender Equity and Empowerment; Climate Change, Urban Development, and Health, and; Agriculture, Food Security, and Nutrition. As an equal opportunity employer, AKU believes in promoting a diverse and inclusive culture and is committed to adopt appropriate standards for safeguarding and promoting a respectful relationship with and between diverse workforce of its faculty, staff, trainees, volunteers, beneficiaries, wider communities, and other stakeholders with whom it works, including children and vulnerable adults and expects all employees/trainees and partners to share this commitment. This a grant funded contractual position. Responsibilities You will be responsible to supervise project activities related to field and data management to ensure quality control, while maintaining good working relationship with staff, community and various stakeholders involved. Specific responsibilities will be to: Coordinate data collection, storage, organization, and management activities across multiple research projects; develop and maintain data management plans, standard operating procedures, documentation standards, and quality assurance protocols; clean, validate, harmonize, transform, and prepare datasets for analysis and reporting; manage and maintain research databases, data repositories, digital platforms, and data-sharing systems; support statistical, analytical, and geospatial data processing activities using appropriate software and tools; sssist in integrating datasets from multiple sources, including environmental monitoring systems, wearable devices, surveys, administrative records, meteorological datasets, and publicly available data repositories; support the acquisition, organization, and maintenance of external datasets required for research activities; monitor data quality and identify inconsistencies, missing values, and processing issues, implementing corrective actions where necessary; generate routine and ad hoc reports, dashboards, visualizations, and analytical summaries for investigators, collaborators, donors, and other stakeholders; support researchers in data extraction, analysis, interpretation, and preparation of research outputs; maintain metadata, version control, and documentation to ensure transparency, reproducibility, and traceability of analytical workflows; ensure compliance with institutional policies and procedures related to data governance, confidentiality, information security, and research ethics; coordinate with internal and external partners regarding data acquisition, exchange, management, and reporting activities; provide technical support and guidance to project staff on data-related tools, systems, and processes; stay abreast of emerging developments and best practices in data analytics, research data management, environmental data systems, and digital technologies relevant to the laboratory's work; contribute to the design and implementation of new data systems, analytical workflows, databases, and digital tools; support the preparation of scientific manuscripts, technical reports, conference presentations, policy briefs, and grant applications through data analysis and visualization; participate in training workshops and capacity-building activities related to data management, analytics, GIS, remote sensing, and research methods; assist in periodic reviews, audits, and assessments of data management practices, data quality standards, and compliance requirements; perform any other duties assigned by the supervisor consistent with the requirements of the position. Requirements You should have: Master 's degree in Data Science, Computer Science, Statistics, Environmental Sciences, Public Health, Geoinformatics, Information Systems, Mathematics, or a related field; additional training or certifications in Data Analytics, Database Management, GIS, Remote Sensing, Research Data Management, Cloud Computing, or Statistical Programming will be an advantage; minimum 4-5 years of relevant experience in data management, data analytics, research data systems, or related fields; experience working with large and complex datasets in research, public health, environmental, climate, development, or related sectors; experience in data cleaning, validation, quality assurance, harmonization, integration, and reporting workflows; hands-on experience with analytical tools such as Python, R, SQL, STATA, or equivalent platforms; experience managing databases, data repositories, and digital data collection systems; experience in dashboard development and data visualization using tools such as Power BI, Tableau, or equivalent platforms will be an advantage; exposure to GIS, remote sensing, Earth observation, climate, environmental, or public health datasets will be considered an advantage; experience supporting scientific publications, technical reports, grant-funded projects, or research studies will be preferred; strong understanding of Data Management, Research Data Management (RDM), Data Governance, and Data Quality Assurance principles; proficiency in Data Analytics, Statistical Analysis, Data Visualization, and Reporting; strong knowledge of data cleaning, validation, harmonization, integration, and documentation procedures; familiarity with relational databases, SQL, metadata management, and data lifecycle management; working knowledge of ETL workflows, version control systems, and reproducible research practices; familiarity with GIS, Geospatial Analytics, Remote Sensing, and Climate or Environmental Data Analytics is desirable; ability to develop dashboards, analytical reports, and visualizations for technical and non-technical audiences; strong analytical, problem-solving, and critical-thinking skills; excellent written and verbal communication skills; strong organizational skills with the ability to manage multiple projects and competing priorities; ability to work effectively within multidisciplinary research teams and collaborate with internal and external stakeholders. Comprehensive employment reference checks will be conducted.

Responsibilities

Supervise project activities related to field and data management to ensure quality control across multiple research projects. Coordinate data collection, cleaning, and analysis while maintaining research databases and generating analytical reports for stakeholders.