Configure and support the implementation of Dotmatics Virscidian solutions in complex laboratories. Collaborate with teams to deliver successful integration and training for clients.
Responsibilities
Configure & support the implementation of Dotmatics Virscidian solutions into complex laboratory, scientific research or scientific development environments.
Take ownership of the implementation lifecycle — from project kickoff through go-live — ensuring that the scope of work and quotation commitments are delivered on time, on budget, and to the customer's scientific objectives.
Work closely with cross functional teams such project management teams & solution architects, product teams & customers, to understand their needs, analyse their data environment, assist in design and implementation of our solutions and aid in integration with their data systems.
Be responsible for demonstrations and training, technical support, and business development where appropriate.
Lead in discovery activities to identify key systems in scope (customer environment) for data integration.
Provide guidance and best practices on data sourcing for the creation of sustainable integrations and methods utilizing standard Data Ingestion technologies and architectural principles.
Conduct technical peer reviews / Conduct structured user acceptance testing (UAT) and sign-off processes to confirm that delivered solutions meet defined specifications.
Provide oversight and governance on projects where there are parallel activities.
Evaluate user requirements and provide estimates.
Train Customers on how to use the configured solutions / Deliver hands-on training to customer scientists and automation teams, ensuring effective adoption and long-term operational success.
Communicate and collaborate among cross-functional teams in a multinational environment (Project Managers, Developers, Architects).
Requirements
8 years + experience deploying Scientific SaaS solutions into the life science industry/end user environments.
Ideally hold a Master or PhD in Chemistry or Biology, with a preference in small molecule research.
Advanced experience in consulting customers (typical within the Scientific/Life Science community), with proven experience of SaaS Solution implementations.
Advanced understanding of the progression from manual to semi-automated to fully automated laboratory workflows.
The ability to clearly document key business requirements.
Strong ability to focus on a data first architecture and data scientist technology (Databricks, Snowflake) and data warehouse/lake technologies that support lab orchestration activities.
Working with: lab informatics software, building queries, web technologies and knowledge of file transformations like CSV, XML, XLS, XLSX and XSL and strong configuration management.
In depth user expertise in Oracle (SQL) as an enterprise tool.
Advanced knowledge of building and deploying API’s.
Delivering high quality presentations and training, including the ability to present systems diagramming, UML (Universal markup language) and ERD (Entity relationship diagrams).
The ability to adjust communication style to speak to the audience with the ability to translate Scientific & Technical language into layman’s terms.
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