Technical Life Sciences Consultant

Introduction:

This position involves providing technical consultancy services in the Life Sciences sector, with a focus on AI foundations, data modeling, and software development. The role requires engaging with stakeholders to drive client workshops, solution framing, and architecture alignment to meet business requirements.

Responsibilities:

• Lead client advisory, opportunity creation, and demand generation
• Define and enforce data modeling, metadata, lineage, and quality standards
• Architect end-to-end solutions on AWS and Databricks
• Review and guide solution designs for scalability, performance, and security
• Translate business and analytical requirements into scalable data models
• Design scalable data models for analytical and operational workloads
• Implement logging, monitoring, observability, and cost optimization frameworks

Requirements:

Required Skills:

• 10+ years of experience in AI, software development, data engineering, or data architecture
• 5+ years of Life Sciences consulting experience
• Strong experience with Databricks, Python, Spark, SQL, and AWS services
• Ability to lead architecture across multi-team delivery models and executive-level meetings

Preferred Skills:

• Experience with Artificial Intelligence, Data governance, and Ontologies
• Knowledge of MPP architectures, Data Vault 2.0, and cloud-native modeling patterns
• Experience in driving enterprise data platform adoption and modern data practices