Specialist Software Engineer - End To End Reconciliation

Roles & Responsibilities

• Design, develop and deploy applications to support pharmacovigilance systems .
• Develop and maintain solutions to enhance E2E data reconciliation, ensuring consistency and accuracy across systems related to adverse events/product complaints
• Develop innovative solutions using generative AI technologies including large language models (LLMs) like Open AI GPT for enhanced decision making and drive efficiency
• Using strong rapid prototyping skills, quickly translate concepts into working code.
• Conduct code reviews to ensure code quality and consistency to standards.
• Create and maintain documentation on software architecture, design, deployment, disaster recover y , and operations.
• Identify and resolve technical challenges effectively.
• Stay informed about industry developments, emerging trends, and standard practices relevant to systems and processes
• Work with partners to identify and prioritize system enhancements and new functionalities to meet evolving business needs of drug- systems .
• Find opportunities for automation and process improvements within drug-safety ecosystem .
• Overall accountability of technical implementation aspects of projects including planning, architecture, design, development, and testing to follow Information Systems Change Control and GxP validation process .
• Collaborate with the delivery and platform teams to ensure that the applications are aligned with approved architectural and development guidelines .
• Maintain knowledge of market trends and developments in web application development frameworks and related and new technologies to provide, recommend, and deliver standard methodology solutions .
• Responsible for supporting technical root cause analysis and wor k with software vendors to resolve Pharmacovigilance systems related issues

Basic Qualifications and Experience

• Master's degree with 4 to 6 years of experience in Computer Science, sof tware development or related field
• OR
• Bachelor's degree with 6 to 8 years of experience in Computer Science, software development or related field
• OR
• Diploma with 10 to 12 years of experience in Computer Science, software development or related field

Functional Skills:

Must-Have Skills

• Experienced in database programming languages, data modelling concepts, including such as Oracle SQL and Postgres
• Experienced with reporting tools such as Tableau, Cognos, Business Objects.
• Experienced in one or more general programming languages, including but not limited toJava or Python .
• Excellent problem-solving skills and a commitment to resolving challenges .
• Knowledge of Artificial Intelligence (AI), Robotic Process Automation (RPA), Machine Learning (ML), Natural Language Processing (NLP) and Natural Language Generation (NLG) automation technologies with building business requirements .
• Extensive experience with SDLC.
• Collaborative spirit and effective communication skills to seamlessly work in a cross-functional team .
• An ongoing commitment to learning and staying at the forefront of AI/ML advancements.
• Experience with Application Programming Interface (API integrations) such as MuleSoft and Extract Transform Load (ETL tools) as Informatica platform, and Databricks.
• Outstanding ability to explain technical concepts to non-technical clients.

Good-to-Have Skills:

• 3+ years of experience COTS Pharmacovigilance Platforms (for example Argus) is a plus or other safety database .
• Experienced in managing GxP systems and implementing GxP projects
• Professional Certifications
• Certified SAFe Agile Software Engineer