Machine Learning, Data Coordinator

Who we are

eHealth Africa (eHA) designs and implements data-driven solutions and technologies to improve health systems for and with local communities. eHA’s technology works in low connectivity settings, and smartly uses data to drive decision-making by local governments and partner agencies to get optimum results.

We leverage our staff and department expertise across five programmatic areas:

• Health Delivery Systems
• Public Health Emergency Management Systems
• Disease Surveillance Systems
• Laboratory & Diagnostic Systems
• Nutrition & Food Security Systems

In each of these programmatic areas, we partner with governments, communities, non-profits and other stakeholders to generate holistic solutions, because we believe that every community deserves access to the types of tools that can enable them to lead healthier lives.

Purpose of the position

We are seeking a highly skilled and motivated AI and Machine Learning Expert with expertise in disease modeling to join our dynamic team. The ideal candidate will play a key role in developing advanced algorithms and models that enable the accurate prediction, monitoring, and control of infectious diseases. This position offers an exciting opportunity to contribute to cutting-edge projects and innovation in the field of public health.

Keywords:

Artificial Intelligence (AI), Machine Learning (ML), Disease Modeling, Predictive Analytics, TensorFlow

What youll do

• Develop and implement state-of-the-art machine learning algorithms and techniques for disease modeling and prediction, with a focus on infectious diseases such as cholera, malaria, tuberculosis, HIV/AIDS, emerging infectious diseases.
• Design and optimize predictive models using large-scale datasets, including epidemiological data, genomic data, environmental data, and clinical data.
• Collaborate with cross-functional teams to understand business requirements and identify opportunities for leveraging machine learning and AI.
• Conduct in-depth analysis of large and complex datasets to extract actionable insights and trends.
• Evaluate the performance of machine learning models, iterate on model designs, and optimize for scalability and efficiency.
• Collaborate with epidemiologists, biostatisticians, data scientists, and software engineers to integrate machine learning solutions into user-friendly software platforms and tools.
• Conduct rigorous evaluation and validation of machine learning models using appropriate metrics and methodologies, ensuring robust performance across diverse populations and geographic regions.
• Stay abreast of the latest advancements in AI, ML, and disease modeling research, and proactively identify opportunities for innovation and improvement.
• Communicate research findings, insights, and technical concepts effectively to both technical and non-technical stakeholders through presentations, reports, and scientific publications.
• Provide technical guidance and mentorship to junior team members, fostering a collaborative and innovative work environment.
• Experience with DevOps practices and tools such as Git, Jenkins, and Travis CI.
• Researches, and evaluates data solutions and libraries, providing recommendations on new technology relevant to exploration and growth.

Data Management

• SharePoint, Data Analytics, SNL and other mining and markets third party data sources
  Generator of Geospatial Knowledge and Analytics.
• Continuous improvement, keep abreast and apply new technologies that are fit for purpose within the machine learning and Analytics fields.
• Linking data warehouse (SQL) to various applications and analytics sites. Maintaining and updating of key GIS datasets, participate and become a key contributor to the way forward for enterprise wide GIS systems.
• Owning Data Warehouse for Exploration and Growth.
• Staff meetings, training classes and supervision.
• Adheres to Policies and Procedures.
• Adheres to eHealth Africa Code of Conduct as well as ethical standards of the field.

Who you are

The requirements listed below are representative of the knowledge, skill and/or ability required to successfully perform this job.

• Master’s degree in Computer science, statistics, bioinformatics, epidemiology, or a related field with a strong emphasis on machine learning and data science. A postgraduate Degree will be an added advantage
• Minimum of 4 years work experience and proven track record of research and publication in the fields of Artificial Intelligence, Machine Learning, and disease modeling, with a focus on infectious diseases preferred.
• Proficiency in programming languages such as Python, R, or Julia, and experience with popular machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Deep understanding of machine learning algorithms, including supervised and unsupervised learning, deep learning, ensemble methods, and time series analysis.
• Experience working with large-scale healthcare datasets, epidemiological data, genomic data, and geospatial data is highly desirable.
• Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights and solutions.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively in interdisciplinary teams and communicate technical concepts to diverse audiences.
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) is a plus.

Certifications and Licenses

• Machine Learning Certification
• Data Science Certification
• TensorFlow Developer Certificate
• PyTorch Certificate
• Healthcare Informatics Certification
• Epidemiology Certification
• Professional Certifications in AI Ethics and Bias Mitigation

eHA Diversity Statement

At eHealth Africa, diversity is integral to who we are. We value and honor diverse backgrounds and experiences, strive to create inclusive and equitable working environments that promote Learning, Fairness, and Opportunities for all.

Above all

We believe strongly in our mission and our core values, and our teams are most successful when they do also.

IMPACT & QUALITY:

We push ourselves to maintain high standards, ensuring that we produce the most meaningful results in everything we do, no matter how big or small.

INNOVATIVE PROBLEM-SOLVING:

We maintain a worldview driven by possibilities, not limitations. We take smart risks and foster an environment where creativity and innovation thrive.

INTEGRITY:

We are honest and truthful in our work. We always do what is right, even when it is not easy. We put our values into practice and hold each other accountable.

Qualified females are strongly encouraged to apply.

Please note that consideration for employment is contingent upon successful completion of background and reference checks that may include criminal record checks.

Location - Kano, Abuja & Hybrid