POSITION: Advanced Analytics Consultant 2 (Data Engineer and Data Analyst)
LOCATION: Jakarta, Indonesia
Background and Justification
JSI Research & Training Institute, Inc. (JSI) is a public health management consulting and research organization dedicated to improving the health of individuals and communities worldwide over the last forty years. The Country Health Information Systems and Data Use program (CHISU) is a five-year USAID-funded cooperative agreement (2020-2025) led by JSI and focused on strengthening health information systems (HIS), enabling sharing of data between systems and their use, and supporting countries' self-reliance by enhancing capacity for local leadership and engagement in every aspect of health data.
As USAID's flagship HIS and data project, CHISU Indonesia will support the Ministry of Health of Indonesia to strengthen governance and enabling environment, increase availability and interoperability and information systems, and increase demand and use of information to address health priorities, gaps, and challenge for health financing information systems, COVID-19 vaccination dashboard and TB AI/ML forecasting in Indonesia.
The use of artificial intelligence and machine learning (AI/ML) was noted by MOH as a priority action for digital health transformation. Using findings from the data use needs assessment, the applicability of AI/ML in solving key data management, quality and use needs was explored by developing use cases with Pusdatin and DTO. CHISU held an AI/ML Orientation Workshop with participants from Pusdatin, DTO, Maternal and Child Health Program Management Team, TB Working Team and Pusjak PDK in 2022 to provide them with information on best practices for the implementation of AI/ML for health. CHISU worked towards an AI/ML prototype to demonstrate how to predict TB drug quantities needed and where to support a more targeted and accurate allocation of TB resources to optimize the current distribution of available TB drugs to match demand informed by real-time data. TB program intervention. Learning from activities in 2023, the prototype of near real-time forecasting and delivery of SITB drugs from the regency to the health facility based on the number of active TB patients registered per facility will start to be developed.
To support the development of this prototype, we need experts who understand the context of AI/ML development. The Advanced Analytics Consultant 2 (Data Engineer and Data Analyst) will support systems users in designing, modeling, and prototyping the AI/ML for TB drugs forecasting specifically to "data engineering and data analysis". The Advanced Analytics Consultant 2 (Data Engineer and Data Analyst) will report to the CHISU Indonesia Senior Interoperability Specialist and work closely with the CHISU technical team, data and technical team of the Digital Transformation Office (DTO), Center for Data and Information Technology (Pusdatin) and the MoH's TBC working team.
Place of Performance: Jakarta, Indonesia
Estimated Period of Performance (to be finalized before the signing of consulting agreement): 3 months; 22 March 2024 - 21 June 2024
Estimated Level of Effort (to be finalized before signing of consulting agreement): 60 days, 20 working days per month.
Activity Manager: Report to Senior Interoperability Specialist.
Purpose and objectives of the consultancy:
AI/Machine Learning Development for TB Use Case
- Supporting TB use case forecasting involves acquiring, structuring, and cleaning data for a robust proof of concept, ensuring dataset integrity.
- Conduct data normalization, wrangling, scaling, and preprocessing, employing advanced techniques to enhance dataset suitability for modeling.
- Create an algorithm for AI/ML modeling, strategically selecting and implementing algorithms tailored to TB forecasting characteristics.
- Conduct hyperparameter tuning to optimize AI/ML model performance, systematically adjusting parameters for refined and accurate TB use case predictions.
- Provide comprehensive technical documentation, detailing methodologies, algorithms, and processes to guide stakeholders, troubleshoot, and facilitate knowledge transfer.
- Collaborate closely with Pusdatin, DTO, Ministry of Health TB team, fostering partnerships, communication, and alignment for an effective forecasting solution.
Expected Deliverables for Advanced Analytics Consultant 2 (Data Engineer and Data Analyst):
● Monthly report
o AI/Machine Learning Development for TB Use Case
⮚ AI/Machine Learning development progress report based on routine updates/meetings.
⮚ Data preparation result report.
⮚ Documentation technical process.
● AI/Machine Learning Development for TB Use Case
o Design Proof-of-Concept Model Algorithm for Model Forecasting Al/Ml.
▪ Data Normalization and Scaling.
o Created algorithm for Modelling Al/ML.
o Hyperparameter tuning,
o Provide comprehensive technical documentation.
| Final Deliverables Required & Due Dates: | |
| Deliverable | Due Date |
| 31 March 2024 |
| 30 April 2024 |
| 31 May 2024 |
| 21 June 2024 |
Qualifications
● Bachelor's degree in information system, Computer Science, IT Management, or other related disciplines.
● Have at least 3 years of experience in AI/Machine Learning projects.
● Mastery of programming languages such as JavaScript, Typescript, Python, Java, R, or other programming language.
● Expertise in data analysis tools such as superset, tableau, PowerBI, STAT, or other tools.
● Expertise in linear algebra, probability, and statistics skills.
● Strong knowledge of AI/Machine Learning frameworks such as PyTorch, Theano, TensorFlow, and Caffe.
● Experience with source code management tools such as github, bitbucket, or gitlab.
● Familiarity with communication tools such as slack, jira, or mattermost.
● Ability to optimize dashboard performance, including responsiveness and scalability.
● Great data warehousing and website development platform skills.
● Ability to analyze user needs and design solutions accordingly.
● Strong presentation skills to explain concept and design to project team and stakeholders.
● Have the ability to work with agile product development teams; genuinely excited about identifying new ways to boost team effectiveness and synergy.
● Expertise in project management, including an understanding of software development methodologies and development life cycles.
● Ability to work with tight deadlines and manage projects independently.
● Creativity in designing attractive and effective data visualization.
● Ability to stay up-to-date with the latest developments in technology and trends in interactive dashboards.
● Good communication skills, including the ability to communicate clearly with clients and stakeholders in Bahasa Indonesian and English.
Application Deadline: March 7, 2024
Potential Start Date: March 22, 2024
How to apply
Interested candidates who meet the qualifications should submit an application to chisu-indonesia@id.jsi.com and reference the job title: Advanced Analytics Consultant 2 (Data Engineer and Data Analyst). Due to the anticipated volume of applications, only shortlisted candidates will be contacted. We appreciate your understanding and the time taken to apply.
Salary commensurate with experience.
JSI/WEI is a child-safe organization, and the safety and wellbeing of children is a priority of our organization. We have robust recruitment procedures to ensure that all staff are suited to work with the children served by our programs.
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