R&D Info Systems Analyst III

Key Responsibilities

Scientific Software Development

• Design, develop, test, deploy, and support scientific software applications and data solutions.
• Own complete software projects from requirements through production support.
• Create applications, dashboards, workflows, integrations, and data visualization tools supporting drug discovery.
• Maintain and enhance existing Research Informatics platforms and applications.

Scientific Partnership

• Work directly with scientists to understand scientific questions, workflows, and data requirements.
• Translate research needs into technical requirements and implement solutions.
• Prioritize features and enhancements with scientific stakeholders.
• Support both small-molecule and large-molecule discovery efforts through data-focused applications and workflows.

Technical Leadership

• Lead technical workstreams and coordinate contributions from other developers, analysts, and stakeholders.
• Evaluate alternative technical approaches, platforms, and vendor solutions.
• Participate in application architecture and design decisions.
• Mentor less experienced developers through informal technical leadership.

Data Stewardship

• Curate, integrate, and manage scientific data across research platforms.
• Design and maintain data views, dashboards, and analytical tools.
• Ensure scientific data remains accessible, interpretable, and actionable.
• Perform complex ad hoc data analyses that support scientific decision-making.

Platform Operations

• Support research cloud environments and informatics infrastructure.
• Monitor application performance, reliability, and adoption.
• Identify opportunities to improve usability, scalability, and operational effectiveness.
• Contribute to documentation, training materials, and operational procedures.

Expected Behaviors

• Acts as a senior individual contributor rather than a people manager.
• Exercises independent technical judgment.
• Leads projects without requiring day-to-day direction.
• Balances scientific needs against technical constraints.
• Influences technical direction through expertise and delivery.
• Identifies gaps and proactively proposes solutions.
• Coordinates others through technical leadership rather than organizational authority.

Minimum Qualifications

• B.S. in a scientific or technical discipline and relevant industry experience with 5+ years of experience.
• M.S. in a scientific or technical discipline and relevant industry experience.
• Experience developing software applications used in scientific or research environments.
• Experience working with databases, data integration, and scientific data management.
• Working knowledge of drug discovery workflows, laboratory processes, or scientific research workflows.
• Strong communication skills and ability to partner directly with scientific users.

Preferred Qualifications

• Experience supporting Research Informatics platforms.
• Experience with cloud-based research environments such as AWS.
• Experience developing dashboards, reporting tools, or scientific data applications.
• Experience integrating vendor and internally developed research systems.
• Experience working in Agile software development environments, platform, or scientific domain.