Aga Khan University Data Scientist Jobs in Kenya

Aga Khan University Data Scientist Jobs in Kenya


Introduction

  • Chartered in 1983, Aga Khan University (AKU, www.aku.edu) is a private, autonomous and self-governing international university, with 13 teaching sites in 6 countries over three continents. An integral part of the Aga Khan Development Network (www.akdn.org), AKU provides higher education in multiple health science and social science disciplines, carries out research pertinent primarily to low- and middle-income countries and operates 7 hospitals (soon 8) and over 325 outreach clinics, all at international standards.

  • It has almost 2,500 students and 14,000 staff. The University is both a model of academic excellence and an agent of social change.

  • As a leading international institution dedicated to excellence and change, AKU operates on the core principles of quality, relevance, impact and access.

  • The Brain & Mind Institute seeks to build capacity in the domains of mental health and neuroscience.

  • In collaboration with partners, the Institute will advance leadership capacity and support service delivery across East Africa and other regions served by AKU.

  • The Institute supports: (i) a hub for scholarship, exchange, and action on mental health issues, and (ii) educational, clinical, and community-based programs.

  • Research focuses on the context of today’s youth in Africa and South Asia and programmatic offerings address mental health related issues, such as stigma and resiliency.

  • The Institute develops new curricula integrating behavioral sciences and mental health for AKU’s medical colleges and nursing education.

  • A significant area of interest is the implementation of science-based programing in hospital and community clinics that translate new discoveries into prevention and treatment programs.

  • Do you want to improve mental health in low- and middle-income countries? Are you ready to conduct state-of-the-art, data science that will help experts understand the determinants of mental health and shape our responses to complex and mounting problems?

  • The Brain and Mind Institute at the Aga Khan University is looking for a bold, entrepreneurial, and boundary-pushing expert in data science who is enthralled by the challenge and excited by the opportunity to drive transformations in mental health and help improve the quality of life for millions – on a national and international scale, and on an accelerated timeline.

  • This is an interdisciplinary research position for an expert in data science having an interest in health sciences.

  • Working with a team based in Kenya and Pakistan, this position involves working with colleagues to leverage the potentially catalytic potential of data analytics, artificial intelligence, and machine learning, to develop big data research studies, support academic programming, and mount policy influence, toward the goal of addressing the mounting burden of mental illness in East Africa and South and Central Asia.

    Responsibilities

  • Working on a wide research portfolio with colleagues in the Brain and Mind Institute, Institute for Human Development, Institute for Global Health
    and Development, Medical Colleges and Schools of Nursing and Midwifery, as well as in other academic entities across Aga Khan University to develop and apply advanced knowledge in data science, particularly as it relates to mental health research;
    Gathering, analyzing and interpreting a wide variety of large and small data sets and developing associated data usage, protection and sharing protocols;

  • Planning, conducting and directing statistical work and other data analytics on complex projects and serving as a mentor to students and other faculty in this area;

  • Representing the Brain and Mind Institute and Aga Khan University in outside discussions and technical forums;

  • Preparing reports, charts, tables, and other visual aids that make use of data visualization techniques and help convey the findings from data-intensive research.

  • Working knowledge of a variety of databases including global open access platforms, large public data files in multiple countries, large health system data warehouses, and extensive clinical data.

    The research work involves applying and learning traditional and new methods in health services and medical research, including but not limited to:

  • Hierarchical linear/logistic regression

  • Propensity score matching

  • Repeated measures analysis

  • Poisson and Negative Binomial regression

  • Survival analysis, including Cox Proportional Hazards regression

  • Other custom models

    Qualifications

  • A PhD and/or Master’s degree(s) in a relevant discipline

  • Information Technology (IT) literacy, including excellent technical skills (e.g., in MS office, data analytics, etc.)

  • Experience in scientific research, analysis, evaluations, reviews, and publications

  • Good understanding of epidemiological and qualitative analysis

  • Excellent verbal and written communication skills in English (additional linguistic capacities in Urdu and/or Swahili would be an asset)

  • Ability to work relatively independently as well as collaboratively with interdisciplinary and international teams

  • Sensitivity to and respect for diversity

  • Knowledge and/or experience in global and national mental health research, surveillance systems for the detection/monitoring of mental illness as well as predictive analytics methods would be an asset.

    How to Apply

  • ​Interested candidates should submit a Cover letter, detailed Curriculum Vitae, names and email contacts of three professional referees, telephone contact, e-mail address and copies of relevant academic certificates to The Manager, Human Resources, Aga Khan University’s Campus Nairobi, Kenya. P. O. Box 30270-00100 or by email to hr.universityke@aku.edu .

  • Your email application should bear the reference number DS/BMI.

  • Only short-listed candidates will be contacted.

  • More information about the Aga Khan University is available at www.aku.edu

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