Programmer Analyst, Paediatrics & Child Health -MC

Aga Khan University; Pakistan; On-site; PKR 1,200,000 - 1,800,000; Full time

Job summary

Aga Khan University in Pakistan invites applications for Programmer Analyst, Paediatrics & Child Health, to support data analytics, automation and visualization for research and health-care initiatives.

The successful candidate will hold a Bachelor's in CS/CE or related field, 2+ years’ experience, and be proficient in Java, Android, R, STATA, Python and Power BI. Collaborating in an agile team, you will develop dashboards and apply ML concepts within the Department of Paediatrics & Child Health.

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering or related field.
• Minimum 2 years of relevant experience.
• Proficient in Java, Android, R, STATA, Python; knowledge of Power BI or VS Code is a plus.
• Strong problem-solving, analytical and communication skills.
• Experience with machine learning concepts and data analysis in healthcare context.
• Ability to work in an agile team and present insights effectively.

Responsibilities

• Collaborate with development team to meet project deadlines.
• Self-learn new tools and apply them to solutions.
• Work in an agile team on cutting-edge technologies.
• Understand current processes and work on automation and digitisation.
• Collect, preprocess, and analyze high-volume healthcare data; present insights with visualisations.
• Prototype ML models and support data wrangling and interpretation.
• Develop dashboards providing reliable insights and visualisation.
• Apply knowledge of ML and AI in projects.
• Perform other tasks as assigned by supervisor.

Skills

Programming & logic

Analytical thinking

Communication skills

Presentation skills

Scripting

Education

Bachelor's degree in Computer Science or related field

Tools

Java

Android

R

STATA

Python

Power BI

VS Code

Job description

Job Description - Programmer Analyst, Paediatrics & Child Health -MC (260004CK)

Job Description

Programmer Analyst, Paediatrics & Child Health -MC - ( 260004CK )

Introduction

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 Women and Child Health Division is engaged in research-focused activities that support evidence-based decision-making and innovation. The department utilises data analytics, data science, automation, and visualisation approaches to address research questions, enhance operational processes, and generate meaningful insights from complex datasets.

Responsibilities

Specific responsibilities include to:

• work as a member of the development team to meet project deadlines provided by the Team Lead or Manager
• self-learn new tools and apply them to provide effective solutions that meet project requirements
• collaboratively work as part of an agile team on leading-edge technologies
• gain a thorough understanding of current processes and work on process automation and digitisation
• collect, manipulate, pre-process and analyse complex, high-volume, high-dimensionality data from varying sources and present insights using analysis and visualisation tools
• prototype experimental solutions, particularly machine learning models
• support extraction, management, data wrangling, analysis and interpretation of complicated, disparate datasets
• develop dashboards that provide reliable insights and visualisation
• apply sound knowledge and understanding of machine learning and AI
• perform any other task assigned by the supervisor.

Requirements

You should have:

• Bachelor’s degree in Computer Science, Computer Engineering or any other related field
• at least 02 years of relevant experience
• good programming and logic building skills
• excellent problem-solving and analytical skills
• excellent communication and presentation skills, including experience presenting insights to technical and non-technical colleagues
• excellent scripting and programming skills; proficiency in tools such as Java, Android, R, STATA, Python, Power BI or VS Code will be an advantage
• sound knowledge of developing machine learning models, including clustering, classification, regression, optimisation, recommendation systems and natural language processing techniques
• understanding of data and analytical frameworks in the healthcare industry
• skills in data collection, management, analysis and interpretation
• BI and DWH working knowledge will be an advantage
• ability to articulate research questions, form hypotheses, review and synthesise existing literature
• ability to work effectively with people at all levels in the organisation

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.