This role focuses on developing bespoke software solutions, encompassing the design, coding, and enhancement of system components. You'll leverage modern frameworks and agile methodologies to deliver scalable, high-performance applications that meet specific business needs.

As a Custom Software Engineer, your typical day involves leading the entire software development lifecycle. This includes taking ownership of projects, coordinating with stakeholders, and ensuring solutions align with desired objectives. Proactive problem-solving and continuous team engagement are key to driving successful product delivery. You'll serve as the primary liaison for application-related matters, fostering clear communication and collaboration across teams.

- Independently perform duties and become a subject matter expert. - Actively participate and contribute to team discussions. - Provide effective solutions to work-related challenges. - Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. - Ensure application quality and performance through rigorous testing and validation. - Mentor junior team members and support their professional development. - Continuously explore and implement enhancements for application functionality and user experience.

- Minimum 3 years of experience in Data Analytics, with a focus on Pharmacovigilance and Drug Safety Surveillance. - Techno-functional expertise in Pharmacovigilance, specifically in LSMV Safety Database implementation, configuration, and production support using Java, SQL, SpringBoot, and REST APIs. - Hands-on experience across the end-to-end LSMV deployment lifecycle, from requirement gathering and technical solutioning to release management, Hypercare, and production issue debugging. - Strong SQL and Oracle skills for data validation, query analysis, and troubleshooting safety database workflows in regulated life sciences environments. - Proficient analytical skills for interpreting complex data and generating actionable insights. - Experience with data processing and transformation techniques to prepare data for analysis. - Ability to manage large datasets while ensuring data integrity. - Familiarity with the software development lifecycle and best practices in application design. - Effective communication skills for presenting findings and collaborating with diverse teams. - A minimum of 15 years of full-time education is required.