Scientific Informatics IT Project Manager - R&D Data Integration

• Lead and manage delivery of key tasks and milestones for data integration activities.
• Collaborate with scientists to identify needs and implement solutions for data capture, storage, search, integration, and visualization, applying FAIR data principles.
• Process and manage various incoming entity registration requests submitted by medicinal chemists and partner organizations.
• Support the sample management group for chemical registration and compound categorization based on chemical structures to diversify weekly screening compounds for lead generation.
• Collaborate with IT Product teams and Solution Architects to define solution needs and delivery approaches aligned with business outcomes.
• Perform hands-on execution of complex technical tasks, applying business rules to deliver seamless integration activities across systems and data workflows.
• Partner with cross-functional teams to execute integration plans, especially for unstructured data into the application landscape.
• Manage onboarding of on-premise and cloud data, along with system migrations and archiving.
• Support integration for platforms such as eNotebook, browser creation, chem/bioassay data upload, sample logistics, and dashboards using organization-specific tools.
• Build strong relationships with the IT MA&D and Business Integration Teams, Product Line Leads, and Product Managers.
• Facilitate cross-functional collaboration to ensure alignment and transparency across teams.
• Serve as a strategic liaison between partners and operational teams, transforming business requirements into executable IT solutions and delivery plans.
• Develop and maintain detailed project delivery plans, timelines, and risk assessments.
• Manage and maintain Jira tasks and Kanban boards to track progress, assign responsibilities, and ensure timely delivery of planned milestones.
• Coordinate smooth handoff to business teams once unstructured data integration activities are complete.
• Nice to Have

• Proven experience with scientific software in the pharmaceutical sector, particularly in Discovery and Development systems.
• Expertise in scientific informatics, SDLC, and FAIR data practices.
• Proven track record in project management, strategic IT planning, and operational efficiency.
• Strong experience bridging R&D and IT through customer-facing initiatives.
• Familiarity with chemical databases, compound registration principles, and data management.
• Knowledge of chemical structure representation formats such as MOL, SDF, SMILES, Inch, and CAS Registry Numbers.
• Experience with databases including Oracle and SQL.
• Experience with scripting languages such as Python and SQL is a plus.
• Ability to ensure compliance with pharmaceutical industry standards and regulatory requirements., * Experience with Python and SQL scripting.

Skills:

• Scientific Informatics.
• Project Management.
• SDLC.
• FAIR Data Principles.
• Data Visualization.
• Advanced Business Analysis.
• Life Science.
• Chemical Databases.
• Compound Registration.
• Oracle.
• SQL.
• Python.
• Jira.
• Kanban.

Qualification And Education:

• Proven experience in scientific software within the pharmaceutical sector.
• Expertise in R&D data integration and informatics.