Analyst (Data Management), Paediatrics & Child Health -MC

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Key Responsibilities

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Requirements Summary

Bachelor’s degree in Computer Science, Computer Engineering, MSc in Health Data Science,

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Aga Khan University, chartered in 1983 as Pakistan's first private international university, is committed to the provision of education, research, and health care of international standards relevant to Pakistan and the region. The affiliated Aga Khan University Hospital provides state-of-the-art clinical facilities and well-equipped diagnostic services. The University currently has teaching sites in Pakistan, East Africa, the United Kingdom, and Afghanistan, and is a major component of Aga Khan Development Network.

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.

The Department of Paediatrics & Child Health, within the Division of Women and Child Health, is engaged in academic and research activities aimed at advancing child health and healthcare outcomes. The department supports evidence-based research and innovation through the application of data analytics, data science, process automation, and digital solutions. This position will contribute to research projects by leveraging analytical methodologies, machine learning techniques, and data visualisation approaches to generate meaningful insights and support informed decision-making.

Responsibilities

~1 min read

Specific responsibilities include to:

→apply data analytics and data science techniques for data collection, pre-processing and analysis
→build models to address research questions and present findings using data visualisation techniques
→utilise scripting and programming skills, with proficiency in tools such as Java, Android, R, STATA, Python, Power BI or VS Code considered an advantage
→develop machine learning models using techniques including clustering, classification, regression, optimisation, recommendation systems and natural language processing
→apply data and analytical frameworks within the healthcare industry
→articulate research questions, formulate hypotheses, and review and synthesise existing literature
→work effectively with people at all levels within the organisation
→manage multiple tasks with minimal guidance
→understand current processes and support automation and digitisation initiatives
→collect, manipulate, pre-process and analyse complex, high-volume, high-dimensional data from diverse sources and present insights using visualisation tools
→perform any other task assigned by the supervisor

Requirements

~1 min read

You should have:

Bachelor’s degree in Computer Science, Computer Engineering, MSc in Health Data Science, or equivalent qualification
fresh graduate or up to one year of relevant work experience preferred
excellent problem-solving and analytical skills
effective communication skills
excellent communication and presentation skills, including experience presenting insights to technical and non-technical colleagues
mature, reliable and responsible approach to work
ability to understand and follow instructions
ability to speak and understand job-related English and Urdu
skills in data collection, management, analysis, and interpretation

Comprehensive employment reference checks will be conducted.

This is a close-ended position.

Disclaimer

The Aga Khan University is committed to the principles of equal employment opportunity for all employees and to providing employees with a work environment which is free from discrimination and harassment. All employment decisions at AKU are based on business needs, job requirements and individual's qualifications and experience, without regard to race, colour, caste or creed, national, social or ethnic origin, gender (except where gender is a bona fide occupational qualification). AKU does not discriminate among the job candidates on account of any of these characteristics.