Required Skills and Competencies

1. Proficient in end-to-end safety surveillance systems for medical products, including data collection, analysis, signal management, benefit/risk assessment, and safety communication
2. Experience in supporting national and global vigilance technology systems, including Med Safety Suite, WHO VigiFlow, VigiLyze, VigiAccess, VigiBase, and other pharmacovigilance platforms
3. Expertise in developing, customizing, and optimizing pharmacovigilance (PV) systems and databases using modern programming languages such as Python, Java, R, SQL and JavaScript.
4. Strong knowledge of web development frameworks (e.g., Django, Flask, AngularJS) for building user-friendly interfaces for PV data management platforms
5. Proficiency in scripting and automation tools (e.g., Bash, PowerShell) to streamline data integration, reporting, and system maintenance tasks
6. Advanced skills in implementing APIs and middleware to enable seamless data exchange between PV systems and national/regional/global databases, ensuring interoperability and compliance with international standards (e.g., ICH E2B)
7. Experience in deploying machine learning and artificial intelligence (AI) models to enhance signal detection, adverse event (AE) classification, and trend analysis
8. Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud) for hosting and scaling pharmacovigilance technology solutions
9. Knowledge of database management systems (e.g., PostgreSQL, MySQL, MongoDB, Oracle) to design and manage relational and non-relational databases for PV systems.
10. Expertise in version control systems like Git and continuous integration/continuous deployment (CI/CD) pipelines to ensure efficient collaboration and system updates
11. Ability to write clean, well-documented, and testable code that adheres to industry best practices for safety-critical systems
12. Expertise in applying MedDRA and WHO-Drug dictionaries for coding, reporting, analyzing, and communicating regulatory information, including the use of Standardized MedDRA Queries (SMQs)
13. Proficiency in systems programming and administration to support signal detection, including regular reviews of adverse event (AE) listings and data mining techniques.
14. Knowledge in AI/ML workflow processes
15. Knowledge in data governance, ensuring compliance with regulations and policies related to data privacy, security, and quality across systems deployed across different environments
16. Experience in cybersecurity, particularly in securing pharmacovigilance systems and ensuring the protection of sensitive health data against unauthorized access, breaches, and cyber threats
17. Proven experience in database design and development within pharmacovigilance-wide practices at national or regional regulatory authorities, pharmaceutical companies, public health programs, or research institutions
18. Skilled in developing and delivering presentations and training on drug safety technology topics for professional conferences and workshops.
19. Demonstrates self-motivation, the ability to take initiative, sound judgment, and minimal supervision in a dynamic environment
20. Skilled in managing multiple responsibilities and deadlines while collaborating with diverse individuals and institutions
21. Upholds the highest standards of integrity, maintaining confidentiality in all aspects of work
22. Proven ability to work effectively in multi-cultural and multi-national environments.

Education and Experience:

A Master’s degree in Computer Science, Data Science, Information and Communication Technology, Information Management Systems, Mathematics, Computer and/or Software Engineering, Electronic Engineering, Bioinformatics, or a related field, with two (2) years of progressive professional experience in science-based, technology-driven, or research-focused organizations, as well as public sector institutions or similar organizations at the national, regional, or continental level.

Experience in a supervisory role is an added advantage.

Or

A Bachelor’s degree in Computer Science, Data Science, Information and Communication Technology, Information Management Systems, Mathematics, Computer and/or Software Engineering, Electronic Engineering, Bioinformatics or a related field, with five (5) years of progressive professional experience in science-based, technology-driven, or research-focused organizations, as well as public sector institutions or similar organizations at the national, regional, or continental level, including at least two (2) years in a supervisory Level.