POSITION : Advanced Analytics Consultant 1 (Data Architecture and Modeling)
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 throughout the world 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 its 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. 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 1(Data Architecture and Modeling) will support systems users in the design, modeling, and prototyping, of the AI/ML for TB drugs forecasting specifically to "data architecture and modeling". The Advanced Analytics Consultant 1 (Data Architecture and Modeling 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 prior to the signing of consulting agreement): 3 months; 22 March 2024 - 21 June 2024
Estimated Level of Effort (to be finalized prior to 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
- Validate and provide reasonable input on the TB AI/ML approved plan to align outputs and timelines previously agreed upon.
- Supporting the design for the proof of concept and solution for TB use case forecasting involves conducting thorough data preparation activities. This encompasses tasks such as acquiring relevant data, weighing data variables' contribution to forecasting objectives, structuring the data appropriately, and performing comprehensive data cleaning to ensure the dataset's quality and integrity.
- Conduct Exploratory Data Analysis (EDA). This involves delving into the dataset to gain insights, identify patterns, and understand the underlying relationships between variables.
- The development and maintenance of AI/ML models for TB use case forecasting by employing advanced machine learning techniques and open source tools to create robust models capable of making accurate predictions.
- The deployment of an AI/Machine Learning prototype results from implementing the model into the operational environment to assess its performance in real-world scenarios.
- Provide inputs and documentation of AI/ML TB use case forecasting to enhance the transparency and reproducibility of the AI/ML TB use case forecasting by outlining the workflow and specifying any additional steps required to streamline the development process further.
- Provide clear, concise and well-orchestrated documentation for continuous training of the model to improve forecasting accuracy.
- Facilitate the knowledge exchanges, technical documentation, and publication from CHISU to ensure global best practices on developing AI/ML models for TB TB use case forecasting.
- Collaborate closely with the Center for Data and Technology Information (Pusdatin), Digital Transformation Office (DTO), Ministry of Health TB Technical and programmatic team.
Expected Deliverables for Advanced Analytics Consultant 1:
● 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 and solution for TB use case forecasting.
o Data Preparation
▪ Data acquisition
▪ Data structure
▪ Data cleaning
o Data Exploratory Data Analysis.
o Develop Modeling Al/ML.
o Deploy AI/Machine Learning prototype result.
o Provide comprehensive technical documentation and user guide for AI/Machine Learning prototype results.
| Final Deliverables Required & Due Dates: |
| Deliverable | Due Date |
- Monthly Report
- MOM technical discussion.
- MOM meeting with Stakeholders.
- Document Design Proof-of-Concept and solution for TB use case forecasting for the architecture perspective.
- AI/ML tools and environment for SITB Patient forecasting.
- Document of data modeling review.
- Data cleaning: handle removal, interpolation, and the default value for empty data.
| 31 March 2024 |
- Monthly Report
- MOM technical discussion.
- MoM meeting with Stakeholders.
- Technical Documentation Data Preparation.
- Technical Documentation Result Data Exploratory Data Analysis.
| 30 April 2024 |
- Monthly Report
- MOM technical discussion.
- MoM meeting with Stakeholders.
- Technical Documentation Development Modeling Al/Ml.
| 31 May 2024 |
- Final report.
- Deployment of AI/Machine Learning prototype result.
- Comprehensive technical documentation and user guide for AI/Machine Learning prototype results.
- Model evaluation for the selected models
| 21 June 2024 |
Qualifications
● Bachelor's degree in Information System, Computer Science, 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 languages.
● Expertise in analysis tools such as superset, tableau, PowerBI, STATA, or other tools.
● Expertise in big data management tools such as Apache Spark, Hadoop, Casandra, MongoDB.
● 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 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 1 (Data Architecture and Modeling). 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.
