Develop and support data integrations and persistence using PostgreSQL and other relational databases, including data models, SQL queries, transformations, validation, and application data flows.
Develop and contribute to unit, integration, API, contract, and data-validation testing as part of the software development lifecycle.
Create prototypes and proofs of concept to validate API, integration, data, and AI/agentic technical approaches and help translate approved concepts into production-ready services.
Use source control, code reviews, CI/CD practices, and established development and deployment standards appropriate to backend services and data integrations.
Write clean, reusable, well-documented, secure, and maintainable backend code, APIs, data-access components, and configuration.
Monitor and troubleshoot backend services, APIs, database integrations, and data-pipeline issues; support defect resolution and participate in production support activities.
Create and maintain technical documentation, including API documentation, data models, integration specifications, configuration notes, and operational support procedures.
Work closely with product owners, business stakeholders, front-end engineers, data engineers, QA engineers, and other technology teams.
Follow Agile practices, participate in sprint planning and estimation, and provide timely status updates.
Continuously build knowledge of modern backend development, APIs, data, cloud, AI, and agentic technologies as the Commercialization Technology landscape evolves.
Maintain accurate documentation of services, configurations, data flows, integrations, and changes.
Contribute reusable backend components, integration patterns, documentation, and continuous improvements that strengthen the broader Commercialization Technology ecosystem.
What we expect of you
Basic Qualifications and Experience
Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related field
Approximately 2 to 4 years of relevant software development, application development, data, or technology experience
Demonstrated experience developing or supporting software, data, or technology solutions in a professional environment
Ability to contribute to defined technical assignments while collaborating effectively with a cross-functional team
Ability to quickly learn unfamiliar technologies, platforms, data sources, and business processes
Eagerness to learn and grow in a software development and enterprise technology environment
Functional Skills
Must-Have Skills
Hands-on experience developing backend services, APIs, or integrations using Python or comparable server-side technologies
Experience translating business requirements or user stories into functional backend services, APIs, data models, or integration solutions
Experience developing REST APIs and integrating applications with databases, enterprise data sources, or other technology platforms; familiarity with common API patterns, authentication, error handling, and payload validation
Working knowledge of relational data concepts, data persistence, PostgreSQL or comparable SQL technologies, transformations, data quality, and the ability to work effectively with unfamiliar data sources
Experience working with enterprise application integrations or service platforms such as Salesforce, Microsoft Power Platform, or comparable enterprise technologies
Working knowledge of application security concepts, including authentication, authorization, and access controls
Strong problem-solving and analytical skills; ability to learn quickly and communicate effectively with technical and nontechnical stakeholders
Experience working within Agile or Scrum delivery methodologies
Ability to create clear technical and functional documentation, including requirements, configuration instructions, data flows, and support documentation
Ability to collaborate effectively across global, virtual, and cross-functional teams
Good-to-Have Skills
Experience developing and supporting enterprise-grade applications within a global, highly regulated healthcare, pharmaceutical, or biotechnology environment
Experience with Databricks, Salesforce, AWS, Microsoft Power Platform, or other enterprise application platforms as integration targets or service consumers
Experience supporting enterprise analytics and embedded visualization integrations, including Tableau or comparable platforms
Experience working with enterprise data platforms such as Databricks, relational databases, governed APIs, or embedded analytics and visualization platforms
Experience with cloud technologies such as AWS and familiarity with cloud-hosted application, API, or data services
Experience with source control, CI/CD pipelines, and development platforms such as GitLab
Familiarity with automated testing, application monitoring, logging, and production support practices
Experience with authentication and authorization technologies such as OAuth 2.0, OIDC, or SAML
Experience supporting AI-enabled applications, agentic workflows, Model Context Protocol (MCP) integrations, or other enterprise AI/ML capabilities
Ability to evaluate technology options and communicate technical concepts and tradeoffs in clear business terms
Working understanding of business operations within Research and Development, Commercialization, Operations, Process Development, Commercial, or Marketing
Professional Certifications
Relevant certification preferred in Salesforce, Microsoft Power Platform, cloud technologies, software development, data, DevOps, cybersecurity, Agile, or enterprise platforms
Agile certification is a plus, such as SAFe for Teams or equivalent
Salesforce or Microsoft Power Platform certification is a plus
Soft Skills
Strong collaboration and communication skills
High degree of initiative, curiosity, and willingness to learn
Ability to manage multiple priorities successfully
Team-oriented with a focus on achieving team goals
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