General Summary

The data officer will support the M&E Officer in design, implementation and review of the project’s monitoring and evaluation interventions, collection of primary Data from the field and in putting into the reporting systems, addressing the M&E capacity gaps identified, track performance and inform programming.

Key Responsibilities

• Provide monitoring and evaluation capacity building, train   implementing level staff  and volunteers on indicators, data collection tools and processes, and reporting.
• Contribute to quarterly & annual report compilation that enables information usage for program management decision making.
• Systematize data repository systems and ensure safe data storage (hard copy & electronic data) on central project databases on a monthly and quarterly basis.
• Conduct data validation processes and work closely with technical teams to identify problematic areas and make appropriate recommendations for continuous improvement.
• Monitor and track progress against targets and baselines and ensuring compliance with the requirements of the reporting systems.
• Prepare quantitative data and write narrative reports as required.
• Ensure timely reporting of core, custom indicators and cross cutting indicators periodically as required.
• Support DREAMS case management and beneficiary assessments to track progress towards graduation
• Perform any other duties as assigned

Academic Qualification

• • Bachelor’s Degree in Statistics, Quantitative Economics, Social science or related field with a computing bias • Having graduated from the IDI DREAMS program; Must be a DREAMS program beneficiary.

Specific Experience

• • Two (2) years professional and or analytical work experience in monitoring and evaluation preferred. • Fluency in PEPFAR’s DREAMS M&E/ OVC and results framework and up-to-date knowledge of PEPFAR DREAMS indicators • Good understanding of Uganda DREAMS OVC tracking system, expectations and tools

Person Specification

• Bachelor’s Degree in Statistics, Quantitative Economics, Social science or related field with a computing bias 
• Having graduated from the IDI DREAMS program; Must be a DREAMS program beneficiary.
• Two (2) years professional and or analytical work experience in monitoring and evaluation preferred.
• Fluency in PEPFAR’s DREAMS M&E/ OVC   and results framework and up-to-date knowledge of PEPFAR DREAMS indicators
• Good understanding of Uganda DREAMS OVC tracking system, expectations and tools

Intern volunteers (6)

Call for applications: Internship for Females at African center of Excellence in Bioinformatics and Data Intensive Sciences

Empowering Uganda’s Women in Health Data Science: Identifying Barriers, Bridging Knowledge and Innovation for Tangible Impact: She Data Science (SHEDS)

Proposed start: June 15th, 2024

The She Data Science (SHEDS) project is pleased to invite suitable applications from females for six internships for the year 2024. SHEDS is a collaborative initiative between the African center of Excellence in Bioinformatics and Data Intensive Sciences, Infectious Diseases Institute, Makerere University, Kampala, Uganda and the Institute of Global Health Sciences (IGHS) at the University of California San Francisco (­­­­UCSF), USA.

About the SHEDS program

The increasing adoption of technologies like mobile phones, high throughput genomic sequencing, IoT and electronic health records is accelerating the buildup of an avalanche of data: clinical, genomic, epidemiological, climate-related and social/behavioral data. These growing volumes and complexity of data, render the rapidly expanding field of “Big Data” analysis and interpretation essential to improving health and economic outcomes.

Data Science (DS­­­), which encapsulates Machine Learning and Artificial Intelligence (AI) provides a pathway to the leveraging and enhancement of these data into meaningful and actionable information. However, the highly technical nature of DS as well its powerful potential, simultaneously pause the risk of ‘leaving behind’ sections of the population that have already been disadvantaged. In Uganda in particular, the high gender disparity within STEM fields means that women are more likely to be left behind, resulting in the unintended consequence of DS further widening the gender gap in STEM.

This program is thus going to target the training and advancement of Ugandan women in data science and (or) bioinformatics. It achieves this goal through three critical areas: 1) Skilling women in data science / bioinformatics methods and techniques, 2) identify barriers to women in STEM, Data Science and bioinformatics 3) Providing a bridge to help trainees translate their data science skills into biomedical and public health practice.

Benefits of the program

• Working of projects solving real life problems like Antimicrobial resistance (AMR), Cancer, Genetic diseases
• World class health data science mentorship from some of the best mentors in the field.

Internship fields

The interns will work on projects that employ data science, mathematical and (or) bioinformatics to any of the following areas: a) Antimicrobial resistance (AMR) including the design of antimicrobial drug combination therapies, identifying One Health AMR transmission pathways, and utilizing data science methodologies to guide antimicrobial stewardship initiatives; b) Human Genomics including the role of repeats in the human genome; c) cancer including cancer genomics and genomics data science; and d) Natural Language Processing (NLP) and (or) generative AI solutions for health problems.

Submission

Submit the following documents as a single pdf file

1. Certified copies of relevant academic documents or an official transcript or stamped testimonial if the prospective interns completed required courses but are awaiting graduation.
2. Two reference letters from academic referees on institution's official letterhead.
3. Statement of motivation stating clearly and precisely the specific internship for which they are applying, the skills and experience they expect to gain or develop during the period of Internship and the contributions they will make to ACE in line with its mission. (max 1500 words).
4. Your idea for the research project (single page).
5. An updated CV (max 4 pages).

NB:

• This is a full-time internship. It is expected that the intending applicant is not involved in any other form of study or employment.
• Only successful candidates will be notified.
• Although this opportunity is majorly targeted towards females, exceptionally qualified males are encouraged to apply.

Graduate Trainee (1)

The Business Development Graduate Trainee will support acquisition of new business, further development of existing business, and monitoring programmatic compliance across all the IDI main programs.  The Business Development Graduate Trainee will be working under the direct supervision of, and be evaluated by the IDI Manager (Strategic Information and Business Development).

LAB ASSISTANT (1)

To carry out basic laboratory tests for diagnosis of diseases with focus on Gene Xpert testing and other HIV/AIDS related tests.

Masters student fellow (2)

Call for applications: Funded Research Year MSc Fellowship Opportunities at Makerere University

Empowering Uganda’s Women in Health Data Science: Identifying Barriers, Bridging Knowledge and Innovation for Tangible Impact: She Data Science (SHEDS)

Call open:   May 13th, 2024  

Call closes: June 20th, 2024    

Proposed start: September 2nd, 2024

The She Data Science (SHEDS) project is pleased to invite suitable applications from females for two fully funded PhD fellowships for the year 2024. SHEDS is a collaborative initiative between the African center of Excellence in Bioinformatics and Data Intensive Sciences, Infectious Diseases Institute, Makerere University, Kampala, Uganda and the Institute of Global Health Sciences (IGHS) at the University of California San Francisco (­­­­UCSF), USA.

About the SHEDS program

The increasing adoption of technologies like mobile phones, high throughput genomic sequencing, IoT and electronic health records is accelerating the buildup of an avalanche of data: clinical, genomic, epidemiological, climate-related and social/behavioral data. These growing volumes and complexity of data, render the rapidly expanding field of “Big Data” analysis and interpretation essential to improving health and economic outcomes.

Data Science (DS­­­), which encapsulates Machine Learning and Artificial Intelligence (AI) provides a pathway to the leveraging and enhancement of these data into meaningful and actionable information. However, the highly technical nature of DS as well its powerful potential, simultaneously pause the risk of ‘leaving behind’ sections of the population that have already been disadvantaged. In Uganda in particular, the high gender disparity within STEM fields means that women are more likely to be left behind, resulting in the unintended consequence of DS further widening the gender gap in STEM.

This program is thus going to target the training and advancement of Ugandan women in data science and (or) bioinformatics. It achieves this goal through three critical areas: 1) Skilling women in data science / bioinformatics methods and techniques, 2) identify barriers to women in STEM, Data Science and bioinformatics 3) Providing a bridge to help trainees translate their data science skills into biomedical and public health practice.

Benefits of the program

• There are two fellowships that will provide a stipend to two MSc students during the research year.
• Research clearance fees for MSc student project.
• World class health data science mentorship from some of the best mentors in the field.

Research concept

The research concept should be one that employs data science, mathematical and (or) bioinformatics to any of the following areas: a) Antimicrobial resistance (AMR) including the design of antimicrobial drug combination therapies, identifying One Health AMR transmission pathways, and utilizing data science methodologies to guide antimicrobial stewardship initiatives; b) Human Genomics including the role of repeats in the human genome; c) cancer including cancer genomics and genomics data science; and d) Natural Language Processing (NLP) and (or) generative AI solutions for health problems.
 

Submission

Submit the following documents as a single pdf file

1. Certified copies of relevant academic documents.
2. Two reference letters from academic referees
3. Statement of motivation (max 1000 words)
4. Your idea for the research project (single page)
5. An updated CV (max 4 pages)

Application deadline: June 20th 2024

NB:

• This is a full-time MSc scholarship. It is expected that the intending applicant is not involved in any other form of study or employment.
• Only successful candidates will be notified.
• Although this opportunity is majorly targeted towards females, exceptionally qualified males are encouraged to apply.

Masters student fellow (2)

Call for applications: Fully Funded 2-year MSc Fellowship Opportunities at Makerere University

Empowering Uganda’s Women in Health Data Science: Identifying Barriers, Bridging Knowledge and Innovation for Tangible Impact: She Data Science (SHEDS)

Call open:   May 13th, 2024   

Call closes: June 20th, 2024    

Proposed start: September 2nd, 2024

The She Data Science (SHEDS) project is pleased to invite suitable applications from females for two fully funded PhD fellowships for the year 2024. SHEDS is a collaborative initiative between the African center of Excellence in Bioinformatics and Data Intensive Sciences, Infectious Diseases Institute, Makerere University, Kampala, Uganda and the Institute of Global Health Sciences (IGHS) at the University of California San Francisco (­­­­UCSF), USA.

About the SHEDS program

The increasing adoption of technologies like mobile phones, high throughput genomic sequencing, IoT and electronic health records is accelerating the buildup of an avalanche of data: clinical, genomic, epidemiological, climate-related and social/behavioral data. These growing volumes and complexity of data, render the rapidly expanding field of “Big Data” analysis and interpretation essential to improving health and economic outcomes.

Data Science (DS­­­), which encapsulates Machine Learning and Artificial Intelligence (AI) provides a pathway to the leveraging and enhancement of these data into meaningful and actionable information. However, the highly technical nature of DS as well its powerful potential, simultaneously pause the risk of ‘leaving behind’ sections of the population that have already been disadvantaged. In Uganda in particular, the high gender disparity within STEM fields means that women are more likely to be left behind, resulting in the unintended consequence of DS further widening the gender gap in STEM.

This program is thus going to target the training and advancement of Ugandan women in data science and (or) bioinformatics. It achieves this goal through three critical areas: 1) Skilling women in data science / bioinformatics methods and techniques, 2) identify barriers to women in STEM, Data Science and bioinformatics 3) Providing a bridge to help trainees translate their data science skills into biomedical and public health practice.

Benefits of the program

• There are two fully funded MSc fellowships that will provide tuition and a stipend for a 2-year full-time MSc degree.
• Research clearance fees for MSc student project.
• World class health data science mentorship from some of the best mentors in the field.

Submission

Submit the following documents as a single pdf file 

1. Certified copies of relevant academic documents
2. Two reference letters from academic referees
3. Statement of motivation (max 1000 words)
4. An updated CV (max 4 pages)

Application deadline: June 20th 2024
 

NB:

• This is a full-time MSc scholarship. It is expected that the intending applicant is not involved in any other form of study or employment.
• Only successful candidates will be notified.
• Although this opportunity is majorly targeted towards females, exceptionally qualified males are encouraged to apply.

PhD Student fellow (2)

Call for applications: Fully Funded PhD Fellowship Opportunities for Females at Makerere University

Empowering Uganda’s Women in Health Data Science: Identifying Barriers, Bridging Knowledge and Innovation for Tangible Impact: She Data Science (SHEDS)

Call open:   May 13th, 2024   

Call closes: June 20th, 2024    

Proposed start: September 2nd, 2024

The She Data Science (SHEDS) project is pleased to invite suitable applications from females for two fully funded PhD fellowships for the year 2024. SHEDS is a collaborative initiative between the African center of Excellence in Bioinformatics and Data Intensive Sciences(ACE), Infectious Diseases Institute (IDI), Makerere University, Kampala, Uganda and the Institute of Global Health Sciences (IGHS) at the University of California San Francisco (­­­­UCSF), USA.

About the SHEDS program

The increasing adoption of technologies like mobile phones, high throughput genomic sequencing, IoT and electronic health records is accelerating the buildup of an avalanche of data: clinical, genomic, epidemiological, climate-related and social/behavioral data. These growing volumes and complexity of data, render the rapidly expanding field of “Big Data” analysis and interpretation essential to improving health and economic outcomes.

Data Science (DS­­­), which encapsulates Machine Learning and Artificial Intelligence (AI) provides a pathway to the leveraging and enhancement of these data into meaningful and actionable information. However, the highly technical nature of DS as well its powerful potential, simultaneously pause the risk of ‘leaving behind’ sections of the population that have already been disadvantaged. In Uganda in particular, the high gender disparity within STEM fields means that women are more likely to be left behind, resulting in the unintended consequence of DS further widening the gender gap in STEM.

This program is thus going to target the training and advancement of Ugandan women in data science and (or) bioinformatics. It achieves this goal through three critical areas: 1) Skilling women in data science / bioinformatics methods and techniques, 2) identify barriers to women in STEM, Data Science and bioinformatics 3) Providing a bridge to help trainees translate their data science skills into biomedical and public health practice.

Benefits of the program

• There are two fully funded PhD fellowships that will provide tuition and a stipend for a duration of upto 3 years.
• Spend upto 3 months at UCSF, USA in a data science related research lab with a paid economy class return ticket, accommodation and stipend for stay at UCSF.
• Institutional IRB fees for PhD project.
• UNCST fees for PhD project.
• Open Access Publication fees for up to 2 publications.
• World class health data science mentorship from some of the best mentors in the field.

Research concept

The research concept should be one that employs data science, mathematical and (or) bioinformatics to any of the following areas: a) Antimicrobial resistance (AMR) including the design of antimicrobial drug combination therapies, identifying One Health AMR transmission pathways, and utilizing data science methodologies to guide antimicrobial stewardship initiatives; b) Human Genomics including the role of repeats in the human genome; c) cancer including cancer genomics and genomics data science; and d) Natural Language Processing (NLP) and (or) generative AI solutions for health problems.
 

Submission

Submit the following documents as a single pdf file

1. Certified copies of relevant academic documents.
2. Two reference letters from academic referees.
3. Statement of motivation (max 1500 words).
4. Your idea for the research project (single page).
5. An updated CV (max 4 pages).

Application deadline: June 20th 2024

NB:

• This is a full-time PhD fellowship. It is expected that the intending applicant is not involved in any other form of study or employment.
• Only successful candidates will be notified.