Principal Application Scientist | ELN/LUMA

Dotmatics

2d•Remote

About The Position

The Principal Application Scientist will act as a partner and advisor to internal teams such as Product & Solutions Architects, and to the customer, to solve the most complex business needs of the customer with the Dotmatics SaaS products in complex laboratory, scientific research, or scientific development environments. Working in our professional services team, you will work closely with our customers to understand their needs, analyze their data environment, and design and implement solutions while aiding in integrations with their systems. The role combines deep scientific domain expertise with hands-on technical capability across data integration, configuration, and solution design. The Principal Application Scientist ensures that solutions are functionally correct, scientifically sound, and aligned with the customer's laboratory workflows and data requirements. This trusted advisor role is highly customer-facing and works closely with Sales, PreSales, Product, Engineering, Cloud Operations, and Siemens Digital Industries Software (DISW) architecture teams and delivery partners. It plays a key role in engagements, acting as the technical lead, ensuring delivery quality and progress across complex implementations.

Requirements

10 years + experience in deploying SaaS solutions into the Life science industry/end user environments.
Expert experience in consulting customers (typical within the Scientific/Life Science community), with proven experience of SaaS Solution implementations.
Experience as being the technical lead within partner-led delivery engagements, working alongside Stakeholders, Project Managers and Solutions Architects to ensure quality and progress across complex implementations, providing structured feedback directly throughout.
Data integration: Planning, coordinating, and leading teams with the integration of data from various source.
The ability to clearly document complex key business requirements.
Acting as a consultant to customers, with proven experience of SaaS Solution implementations into complex scientific environments, such as Big Pharma/ large laboratory environments.
Advanced knowledge of building and deploying APIs, frameworks, and event-driven integration patterns, with experience in data ingestion and transformation tooling such as Apache NiFi.
In depth expertise in Oracle (SQL), SQL databases, and cloud native technologies including AWS.
Strong ability to leverage data first architectures utilising Databricks (incorporating Databricks SQL Warehouse), Snowflake, Sigma, and data warehouse/lake technologies.
Working knowledge of lab informatics software including ELN, LIMS, SDMS and instrument data systems, file transformations (CSV, XML, XLS, XLSX, XSL), and strong configuration management understanding.
Ability to identify and communicate performance, scalability, and data quality risks within implemented solutions.
Strong ability to focus on a data first architecture and data scientist technology (Databricks, Snowflake) and data warehouse/lake technologies.
Programming or scripting language working with scientific data (including, but not limited to Python, JavaScript or other equivalent).
Delivering high quality presentations and training, including the ability to present systems diagramming, UML (Universal mark up 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 in to layman’s terms.

Nice To Haves

PhD or comparable working experience in Chemistry, Biology, Data Science, Bioinformatics or similar scientific/technical field.

Responsibilities

Lead in discovery activities to identify key systems in scope (customer environment) for data integration.
Work alongside senior leaders internally & client leadership/scientific teams to help identify optimal sourcing and integration strategy, ensuring clarity of data requirement, process & workflows in complex laboratory settings.
Provide guidance and best practices on data sourcing for the creation of sustainable integrations and methods utilizing standard data technologies and architectural principles and mentor others.
Conduct technical peer reviews.
Data integration: Planning, coordinating, and supervising the integration of data from various sources.
Data flow monitoring: Monitoring the flow of data between databases, servers, and cloud services.
Data architecture: Identifying and implementing the best data integration (DI) architecture for the organization.
Lead the technical/scientific delivery of strategic projects with customers.
Present the benefits of Dotmatics software and explain the technical/scientific value to prospective clients.
Provide oversight and governance on projects where there are parallel activities.
Evaluate user requirements, provide estimates, solution design.
Train Customers on how to use Dotmatics configured solutions.
Communicate and collaborate among cross-functional teams in a multinational environment (Project Managers, Developers, Architects).