Technical Lead, Therapeutic Area Enabling Innovation

About the role

The Technical Lead, Therapeutic Area Enabling Innovation role partners closely with Product Managers to define and deliver scalable, high-impact technology solutions that support scientific workflows and data-driven research. The individual will operate at the intersection of laboratory science, data engineering, cloud platforms, AI/ML, and knowledge management, helping bridge instrument-generated laboratory data through analytical workflows into decision-ready scientific knowledge.

Responsibilities

• Lead technical solutioning for Therapeutic Area products
• Define end-to-end technical architectures across scientific workflows, data platforms, AI solutions, and knowledge management ecosystems
• Ensure alignment to enterprise architecture, data, and security standards
• Promote reuse of existing platforms and shared capabilities
• Partner with Product Managers to shape product designs
• Quickly validate technical assumptions before investment decisions
• Provide technical input into backlog prioritization, sequencing, and roadmap planning
• Build lightweight proof-of-concepts and technical spikes to assess new technologies and integration approaches
• Enable delivery across teams
• Work closely with engineering teams to ensure designs are clearly understood and implemented effectively
• Align with enterprise architects, platform teams, and vendors on solution direction
• Identify and manage technical dependencies across products
• Drive continuous improvement
• Identify opportunities to simplify, standardize, and scale solutions across TA products
• Bring forward and evaluate relevant emerging technologies (e.g., data platforms, AI/GenAI, workflow orchestration)
• Contribute to evolving architecture frameworks and best practices

Qualifications

• Bachelor's degree in Computer Science, Engineering, Bioinformatics, Computational Biology, Data Science, or related discipline
• 6+ years of experience designing and implementing technical solutions, architectures, and integrations for complex business or scientific workflows
• Proven ability to translate business requirements into scalable technical architectures, integration patterns, and implementation roadmaps
• Demonstrated ability to quickly evaluate technologies, build prototypes, and validate technical feasibility through proof-of-concepts and pilots
• Experience collaborating across product management, engineering, architecture, and business stakeholders in a matrixed environment
• Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences
• Experience influencing technical direction without direct management responsibility

Preferred Skills

• Understanding of drug discovery, translational research, clinical development, and the scientific data lifecycle from experiment execution through knowledge generation
• Experience with laboratory informatics platforms including ELN, LIMS, laboratory automation, instrument connectivity, or digital lab transformation initiatives
• Experience designing solutions for scientific data domains such as multi-omics, bioinformatics, translational, imaging, real-world, or clinical trial data
• Familiarity with AI/ML platforms, knowledge graphs, semantic technologies, GenAI applications, or advanced analytics solutions for scientific research
• Experience architecting cloud-native data platforms, APIs, integration frameworks, and scalable data pipelines in AWS or similar cloud environments
• Knowledge of FAIR data principles, data governance, provenance, traceability, and reproducibility within regulated research environments
• Experience evaluating emerging technologies, conducting vendor assessments, and leading proof-of-concept or pilot efforts to validate technical solutions